{"id":"cmrd439mt016x67zzt73fo1o2","slug":"apache-spark-vs-duckdb)","title":"Apache Spark vs DuckDB","shortAnswer":"Apache Spark is a distributed computing framework designed for large-scale data processing across clusters, while DuckDB is an in-process SQL database optimized for analytical queries on single machines or small clusters. Spark handles petabyte-scale data; DuckDB excels at sub-terabyte interactive analytics with minimal overhead.","keyDifferences":[{"label":"Processing Architecture","winner":"tie","entityAValue":"Distributed cluster-based (master-worker)","entityBValue":"In-process single-machine or shared-memory"},{"label":"Ideal Data Size","winner":"tie","entityAValue":"100GB to petabytes","entityBValue":"1MB to 1TB"},{"label":"Query Latency (100GB dataset)","winner":"b","entityAValue":"5-30 seconds (cluster overhead)","entityBValue":"100-500ms (in-process)"},{"label":"Setup Complexity","winner":"b","entityAValue":"High (requires cluster, Hadoop/Kubernetes)","entityBValue":"Minimal (single binary, no dependencies)"},{"label":"Memory Efficiency on 10GB Query","winner":"b","entityAValue":"2-4GB required (JVM overhead)","entityBValue":"500MB-1GB required"},{"label":"Supported Languages","winner":"a","entityAValue":"Scala, Python, SQL, R, Java (6 languages)","entityBValue":"SQL, Python, R, C++, Go (5 languages)"},{"label":"Enterprise Ecosystem","winner":"a","entityAValue":"Mature (Databricks, AWS EMR, Cloudera)","entityBValue":"Growing (DuckLabs, open-source focus)"}],"verdict":"Choose Apache Spark if you're processing data across 100GB+ datasets, need distributed computing across multiple machines, or require enterprise support and a mature ecosystem. Choose DuckDB if you need fast interactive analytics on datasets under 1TB, want zero infrastructure overhead, prefer minimal setup time, or are building analytical applications that embed a database engine.","category":"software","entities":[{"id":"cmqgixs1q0005lmjyugq6ccb5","slug":"apache-spark","name":"Apache Spark","shortDesc":"In-memory distributed computing framework for fast batch, streaming, and interactive data processing.","imageUrl":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Apache_Spark_logo.svg/330px-Apache_Spark_logo.svg.png","entityType":"software","position":0,"pros":["Processes petabyte-scale datasets across distributed clusters","Supports 6 programming languages (Scala, Python, SQL, R, Java, Go)","Advanced ML library (MLlib) with 100+ algorithms built-in","Mature ecosystem with enterprise support (Databricks, AWS EMR, Cloudera)","Fault tolerance and automatic recovery via RDD lineage tracking"],"cons":["Requires cluster infrastructure and significant setup overhead (Hadoop/Kubernetes)","High memory overhead due to JVM (2-4GB minimum for small jobs)","Query latency 5-30 seconds due to distributed architecture and task scheduling"],"bestFor":"Data engineering teams processing 100GB+ datasets, enterprises needing ML pipelines at scale, organizations with existing Hadoop/Kubernetes infrastructure, batch processing workloads"},{"id":"cmqd6w0o200628hw3ac3indd9","slug":"duckdb","name":"DuckDB","shortDesc":"In-process SQL analytical database engine optimized for fast queries on structured data without infrastructure.","imageUrl":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/40/DuckDB_logo.svg/330px-DuckDB_logo.svg.png","entityType":"software","position":1,"pros":["Instant query results: 100-500ms latency on 100GB datasets vs Spark's 5-30 seconds","Zero setup: single binary with no external dependencies, works on laptops","60% lower memory usage than Spark for equivalent workloads (500MB-1GB vs 2-4GB)","Vectorized execution engine achieves 10-100x faster analytics than traditional databases","Reads Parquet, CSV, JSON directly without expensive data loading steps"],"cons":["Limited to single-machine or shared-memory clusters (scales to ~100 nodes max)","Not suitable for petabyte-scale data processing","Smaller ecosystem with limited third-party integrations compared to Spark"],"bestFor":"Data analysts doing interactive analytics, Python/R data scientists, embedded analytics in applications, startups avoiding infrastructure complexity, BI teams with sub-1TB datasets, local data exploration"}],"attributes":[{"id":"cmqgixs2z000clmjyi87i6jw8","slug":"typical-query-latency-1gb-dataset-","name":"Typical Query Latency (1GB dataset)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2000-5000ms","valueNumber":3500,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"50-200ms","valueNumber":125,"valueBoolean":null,"winner":true}]},{"id":"cmqgixs3v000olmjyh87y98hj","slug":"memory-required-per-query","name":"Memory Required Per Query","unit":"MB","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"500-2000MB","valueNumber":1250,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50MB","valueNumber":30,"valueBoolean":null,"winner":true}]},{"id":"cmqgixs48000ulmjysanqs8x4","slug":"setup-time-for-basic-analytics","name":"Setup Time for Basic Analytics","unit":"minutes","category":"Ease of Use","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"30-120 minutes","valueNumber":75,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1-5 minutes","valueNumber":3,"valueBoolean":null,"winner":true}]},{"id":"cmqgixs4k0010lmjywz7ntz2g","slug":"primary-language-support","name":"Primary Language Support","unit":"count","category":"Developer Experience","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Python, Scala, SQL, R, Java","valueNumber":null,"valueBoolean":null},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Python, SQL, C++, R, Julia, Node.js","valueNumber":null,"valueBoolean":null}]},{"id":"cmqiyeyo3000c11k4reazm95l","slug":"query-latency-1gb-csv-","name":"Query Latency (1GB CSV)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8,000-15,000ms","valueNumber":11500,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"150-500ms","valueNumber":325,"valueBoolean":null,"winner":true}]},{"id":"cmqiyeyoh000i11k4embhh9bc","slug":"maximum-scalable-dataset-size","name":"Maximum Scalable Dataset Size","unit":"GB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"1,000+ PB","valueNumber":1000,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50","valueNumber":30,"valueBoolean":null,"winner":false}]},{"id":"cmqiangnl00g9bqe46sgzzf88","slug":"minimum-memory-requirement","name":"Minimum Memory Requirement","unit":"GB","category":"Infrastructure","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2-4 GB","valueNumber":3,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.1-0.5 GB","valueNumber":0.3,"valueBoolean":null,"winner":true}]},{"id":"cmqiyeyoz000u11k48e60t9pl","slug":"setup-time-from-scratch-","name":"Setup Time (from scratch)","unit":"minutes","category":"Ease of Use","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"60-120 (cluster setup)","valueNumber":90,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2-5 (local install)","valueNumber":3.5,"valueBoolean":null,"winner":true}]},{"id":"cmpikd78i001cms5zawa547yc","slug":"github-stars-2026-","name":"GitHub Stars (2026)","unit":"stars","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"35,900 stars","valueNumber":35900,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"18,500+","valueNumber":18500,"valueBoolean":null,"winner":false}]},{"id":"cmqiyeypp001c11k4a11qrnrc","slug":"multi-machine-distributed-computing","name":"Multi-machine Distributed Computing","unit":"capability","category":"Architecture","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Native support","valueNumber":null,"valueBoolean":null},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Not supported","valueNumber":null,"valueBoolean":null}]},{"id":"cmqiyeyq0001i11k493yhjk4n","slug":"fault-tolerance","name":"Fault Tolerance","unit":"capability","category":"Reliability","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Yes (RDD lineage-based)","valueNumber":null,"valueBoolean":null},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"No (single machine)","valueNumber":null,"valueBoolean":null}]},{"id":"cmql64e59002b4o127axvwded","slug":"initial-licensing-cost","name":"Initial Licensing Cost","unit":"USD","category":"Cost","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"$0","valueNumber":0,"valueBoolean":null}]},{"id":"cmqd4sa5u000o8hw3o05ld3jc","slug":"setup-time-to-production","name":"Setup Time to Production","unit":"minutes","category":"Deployment","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"6-12 weeks","valueNumber":9,"valueBoolean":null}]},{"id":"cmql64e5y002n4o1229h8j7oj","slug":"cluster-management-required","name":"Cluster Management Required","unit":"hours/month","category":"Operations","dataType":"text","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"40-80 hours (dedicated DevOps engineer)","valueNumber":null,"valueBoolean":null}]},{"id":"cmql64e68002t4o12xlk271rk","slug":"sql-query-performance-tpc-ds-benchmark-","name":"SQL Query Performance (TPC-DS Benchmark)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"45-120 seconds","valueNumber":80,"valueBoolean":null}]},{"id":"cmql64e6l002z4o12jgdt7cin","slug":"users-per-collaborative-project","name":"Users Per Collaborative Project","unit":"concurrent users","category":"Collaboration","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"1-5 (via Jupyter sharing)","valueNumber":3,"valueBoolean":null}]},{"id":"cmql64e6w00354o12dtoq8xp3","slug":"built-in-security-features","name":"Built-in Security Features","unit":null,"category":"Security","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"0 (manual implementation required)","valueNumber":0,"valueBoolean":null}]},{"id":"cmqg58okb005gw2p8raojc0a0","slug":"supported-data-formats","name":"Supported Data Formats","unit":"formats","category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Parquet, ORC, JSON, CSV, Avro, Delta (via library)","valueNumber":null,"valueBoolean":null},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"12+ formats","valueNumber":12,"valueBoolean":null}]},{"id":"cmngdxgir00ef9t3sk105itqi","slug":"community-size","name":"Community Size","unit":"active users","category":"Support","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"25,000+ questions","valueNumber":25000,"valueBoolean":null}]},{"id":"cmqmfw5hu000c2upnmkcq9dfc","slug":"typical-cluster-cost-monthly-","name":"Typical Cluster Cost (Monthly)","unit":"USD","category":"Cost","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"$1,500-$5,000+","valueNumber":3250,"valueBoolean":null}]},{"id":"cmqmfw5ie000i2upnyios96ni","slug":"data-processing-speed-1tb-dataset-","name":"Data Processing Speed (1TB dataset)","unit":"minutes","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"5-15 minutes","valueNumber":10,"valueBoolean":null}]},{"id":"cmngdxbu400dh9t3stnrebgr1","slug":"supported-programming-languages","name":"Supported Programming Languages","unit":"languages","category":"Development","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Python, Scala, Java, R, SQL","valueNumber":5,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Python, R, Java, C++, Node.js, Go","valueNumber":6,"valueBoolean":null,"winner":true}]},{"id":"cmqmfw5jc000u2upnejx01fgd","slug":"setup-time-for-production-deployment","name":"Setup Time for Production Deployment","unit":"hours","category":"Ease of Use","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"40-80 hours","valueNumber":60,"valueBoolean":null}]},{"id":"cmqmfw5jm00102upnx4l89u80","slug":"supported-warehouse-platforms","name":"Supported Warehouse Platforms","unit":"platforms","category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Hadoop, Kubernetes, cloud object storage (3+ classes)","valueNumber":3,"valueBoolean":null}]},{"id":"cmqmfw5ju00162upnwpwblvxu","slug":"built-in-data-testing-features","name":"Built-in Data Testing Features","unit":"count","category":"Features","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"0 (requires external frameworks)","valueNumber":0,"valueBoolean":null}]},{"id":"cmqmfw5k2001c2upna3znl5no","slug":"minimum-dataset-size-for-optimal-use","name":"Minimum Dataset Size for Optimal Use","unit":"GB","category":"Use Case","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"100+ GB","valueNumber":100,"valueBoolean":null}]},{"id":"cmqmfw5kk001i2upnwfk47trk","slug":"github-community-stars-","name":"GitHub Community (Stars)","unit":"thousands","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"38.5K stars","valueNumber":38500,"valueBoolean":null}]},{"id":"cmqoo05f200653w9axwk16ffz","slug":"query-performance-on-1tb-dataset","name":"Query Performance on 1TB Dataset","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"30-120 seconds","valueNumber":75,"valueBoolean":null}]},{"id":"cmqoo05fm006b3w9aif47fekt","slug":"cluster-setup-time","name":"Cluster Setup Time","unit":"hours","category":"Implementation","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"40-80 hours","valueNumber":60,"valueBoolean":null}]},{"id":"cmqoo05fv006h3w9arbjqjfxj","slug":"cost-per-core-hour","name":"Cost per Core-Hour","unit":"USD","category":"Pricing","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"$0.035-0.15","valueNumber":0.09,"valueBoolean":null}]},{"id":"cmqoo18nf006n3w9a4h9wttsg","slug":"supported-languages-apis","name":"Supported Languages/APIs","unit":"count","category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Python, Scala, Java, SQL, R","valueNumber":5,"valueBoolean":null}]},{"id":"cmqoo18nu006t3w9a8hp8duxw","slug":"maximum-dataset-size-supported","name":"Maximum Dataset Size Supported","unit":"GB","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Unlimited (depends on storage)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqjt8gd5002hjar6qrn7808f","slug":"cloud-provider-support","name":"Cloud Provider Support","unit":"providers","category":"Features","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"4+ (AWS, Azure, GCP, on-prem)","valueNumber":4,"valueBoolean":null}]},{"id":"cmqoo18o4006z3w9akdub1o9h","slug":"machine-learning-algorithms-available","name":"Machine Learning Algorithms Available","unit":"count","category":"ML Capabilities","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"50+ (MLlib + custom models)","valueNumber":50,"valueBoolean":null}]},{"id":"cmqoo18oz007b3w9aiskh3y5x","slug":"data-format-support","name":"Data Format Support","unit":"format types","category":"Flexibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8+ formats (Parquet, ORC, Avro, Delta, Iceberg, HDF5, CSV, JSON)","valueNumber":8,"valueBoolean":null}]},{"id":"cmqqfa3g2001h6jhiith0f4h5","slug":"processing-speed-same-1tb-dataset-","name":"Processing Speed (Same 1TB dataset)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"30-60 seconds (in-memory)","valueNumber":45,"valueBoolean":null}]},{"id":"cmqpf2t3p00i3w8edks76bpif","slug":"processing-speed-average-query-","name":"Processing Speed (Average Query)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"10-60 seconds","valueNumber":35,"valueBoolean":null}]},{"id":"cmqpf2t4a00i9w8ed0lz9qa8m","slug":"memory-requirement-per-node-","name":"Memory Requirement (Per Node)","unit":"GB","category":"Infrastructure","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"16-256 GB","valueNumber":128,"valueBoolean":null}]},{"id":"cmqach7gc000v12ffdaarhrzz","slug":"first-release","name":"First Release","unit":"year","category":"History","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2014","valueNumber":2014,"valueBoolean":null}]},{"id":"cmqpf2t5c00irw8edxi3zafr7","slug":"real-time-streaming-capability","name":"Real-time Streaming Capability","unit":"latency (ms)","category":"Features","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"500-5000 ms micro-batches","valueNumber":2000,"valueBoolean":null}]},{"id":"cmqpf2t5t00ixw8ed740fvru9","slug":"market-adoption-by-fortune-500","name":"Market Adoption by Fortune 500","unit":"percent","category":"Industry","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"82%","valueNumber":82,"valueBoolean":null}]},{"id":"cmqpf2t6800j3w8edu009hqwd","slug":"typical-cluster-cost-100-node-setup-","name":"Typical Cluster Cost (100-node setup)","unit":"USD annual","category":"Cost","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"$450,000-650,000","valueNumber":550000,"valueBoolean":null}]},{"id":"cmqn73d8a0035pji0x9d77s01","slug":"fault-tolerance-method","name":"Fault Tolerance Method","unit":"mechanism","category":"Reliability","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Lineage-based recovery (RDD parents)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqkt56cs008hz3ctgmxwuvnk","slug":"end-to-end-latency-p99-","name":"End-to-End Latency (p99)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"500-2000ms","valueNumber":1250,"valueBoolean":null}]},{"id":"cmqpf5iqf00k7w8edm9m66aop","slug":"native-connectors-available","name":"Native Connectors Available","unit":"count","category":"Ecosystem","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"200+ via ecosystem integrations","valueNumber":200,"valueBoolean":null}]},{"id":"cmmxr90aj01vvlh9en2wgumc3","slug":"github-stars","name":"GitHub Stars","unit":"stars","category":"Community Adoption","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"40,100 stars","valueNumber":40100,"valueBoolean":null}]},{"id":"cmou6cqol001hybooelqt3ov2","slug":"enterprise-adoption-rate","name":"Enterprise Adoption Rate","unit":"%","category":"Industry Adoption","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"65% (Databricks, AWS, Google, Meta deployments)","valueNumber":65,"valueBoolean":null}]},{"id":"cmqpf5irh00kpw8edqrkyos6r","slug":"memory-overhead-per-task-","name":"Memory Overhead (per task)","unit":"MB","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"~400-800MB (GC overhead)","valueNumber":600,"valueBoolean":null}]},{"id":"cmqpf5irt00kvw8edkg7ou9we","slug":"supported-event-time-semantics","name":"Supported Event Time Semantics","unit":null,"category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Partial in Structured Streaming, limited out-of-order support","valueNumber":null,"valueBoolean":null}]},{"id":"cmqpf5is400l1w8edz1j42m5t","slug":"throughput-events-sec-per-node-","name":"Throughput (events/sec per node)","unit":"events/sec","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"~500K-1M events/sec","valueNumber":750000,"valueBoolean":null}]},{"id":"cmqpf5isg00l7w8edv6xywqpe","slug":"batch-stream-unified-code","name":"Batch+Stream Unified Code","unit":null,"category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Unified via Structured Streaming/Dataset API","valueNumber":null,"valueBoolean":null}]},{"id":"cmraiu8rn0059f6fbad9fpwhc","slug":"processing-speed-iterative-query-","name":"Processing Speed (Iterative Query)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"0.5-2 seconds","valueNumber":1.25,"valueBoolean":null}]},{"id":"cmraiu8ry005ff6fbvuodcakf","slug":"memory-requirement","name":"Memory Requirement","unit":"GB","category":"Resources","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8-64 GB per node","valueNumber":32,"valueBoolean":null}]},{"id":"cmqgkhrqb002kd5qlu95ftzza","slug":"supported-languages","name":"Supported Languages","unit":null,"category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"5 (Scala, Python, Java, R, SQL)","valueNumber":5,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"7 (Python, Node.js, Go, Rust, R, Java, C++)","valueNumber":7,"valueBoolean":null,"winner":true}]},{"id":"cmraiu8sj005rf6fba73quq39","slug":"real-time-processing","name":"Real-time Processing","unit":"latency (milliseconds)","category":"Capability","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"100-500 ms (micro-batch)","valueNumber":300,"valueBoolean":null}]},{"id":"cmraiu8su005xf6fb45g1m9ja","slug":"ecosystem-age","name":"Ecosystem Age","unit":"years","category":"Maturity","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"12 years (since 2013)","valueNumber":12,"valueBoolean":null}]},{"id":"cmqijelfu0024ihrn025osuin","slug":"enterprise-adoption","name":"Enterprise Adoption","unit":"companies","category":"Market","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"74% currently use","valueNumber":74,"valueBoolean":null}]},{"id":"cmraiu8tf0069f6fb9acurakd","slug":"machine-learning-capability","name":"Machine Learning Capability","unit":"native support","category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Full MLlib with algorithms, pipelines","valueNumber":null,"valueBoolean":null}]},{"id":"cmraiu8tp006ff6fb62iinpaz","slug":"data-storage-redundancy","name":"Data Storage Redundancy","unit":"replication factor","category":"Reliability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Depends on underlying storage","valueNumber":null,"valueBoolean":null}]},{"id":"cmrckrmjs00e3vg6xn9tl95fy","slug":"event-latency-processing-end-to-end-","name":"Event Latency (Processing End-to-End)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"100-2,000ms (Spark Streaming micro-batch interval)","valueNumber":500,"valueBoolean":null}]},{"id":"cmqs6wdsy00ejr09qeh2q76ze","slug":"throughput-capacity","name":"Throughput Capacity","unit":"events/second/node","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"500,000 - 2,000,000 (batch-optimized)","valueNumber":1000000,"valueBoolean":null}]},{"id":"cmrc25y5w0051znhzrqlcor9s","slug":"memory-per-node","name":"Memory Per Node","unit":"GB per 1M events/sec","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8-12GB (caching overhead)","valueNumber":10,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2-64 (varies)","valueNumber":16,"valueBoolean":null,"winner":false}]},{"id":"cmq3udoi20022dhy5vjnq5lse","slug":"developer-community-size","name":"Developer Community Size","unit":"active developers","category":"Ecosystem","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"7,200,000 (StackOverflow, job postings 2024)","valueNumber":7200000,"valueBoolean":null}]},{"id":"cmrckrmks00ervg6xykkl4x1h","slug":"available-libraries-integrations","name":"Available Libraries & Integrations","unit":"count","category":"Ecosystem","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"14,000+ (Spark packages, MLlib, SQL, GraphX, etc.)","valueNumber":14000,"valueBoolean":null}]},{"id":"cmrckrml900f3vg6xrt18396t","slug":"mean-time-to-deploy-production-job","name":"Mean Time to Deploy Production Job","unit":"weeks","category":"Development Velocity","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2-4 weeks (larger talent pool, more examples)","valueNumber":3,"valueBoolean":null}]},{"id":"cmrckrmlj00f9vg6xvsrbwih7","slug":"stateful-window-operations-complexity","name":"Stateful Window Operations Complexity","unit":"lines of code for session windows","category":"Functionality","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"80-150 lines (custom state handling needed)","valueNumber":120,"valueBoolean":null}]},{"id":"cmrcnkbzm00ouerbmnf9anqvy","slug":"minimum-achievable-latency-p99-","name":"Minimum Achievable Latency (P99)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"500-2000ms","valueNumber":1250,"valueBoolean":null}]},{"id":"cmrcnkc0000p0erbmm0lhn9li","slug":"github-stars-popularity-indicator-","name":"GitHub Stars (Popularity Indicator)","unit":"stars","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"32,000","valueNumber":32000,"valueBoolean":null}]},{"id":"cmqpem9n40099w8ed7ojh8864","slug":"market-adoption-rate","name":"Market Adoption Rate","unit":"percentage of streaming workloads","category":"Adoption","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"60-65%","valueNumber":62.5,"valueBoolean":null}]},{"id":"cmrcnkc0s00pcerbm5868h44t","slug":"memory-overhead-per-task","name":"Memory Overhead per Task","unit":"megabytes (baseline)","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"512-1024MB","valueNumber":768,"valueBoolean":null}]},{"id":"cmrcnkc1700pierbmxqvcf2bo","slug":"ansi-sql-compliance","name":"ANSI SQL Compliance","unit":"percentage","category":"SQL Support","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"98%","valueNumber":98,"valueBoolean":null}]},{"id":"cmrcnkc1m00poerbm75hrrtp8","slug":"state-management-capabilities","name":"State Management Capabilities","unit":"feature count","category":"Functionality","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2 types (RDD state, DataFrame state)","valueNumber":2,"valueBoolean":null}]},{"id":"cmrcnkc2000puerbmsn4ixlra","slug":"production-deployments-2026-","name":"Production Deployments (2026)","unit":"thousands of deployments","category":"Adoption","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"45,000-55,000","valueNumber":50000,"valueBoolean":null}]},{"id":"cmozkbxw7000h120nkkjqj677","slug":"year-over-year-growth-rate","name":"Year-over-Year Growth Rate","unit":"percentage","category":"Trend","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8%","valueNumber":8,"valueBoolean":null}]},{"id":"cmqs8f1uv00orr09qypwvgqym","slug":"minimum-hardware-requirements","name":"Minimum Hardware Requirements","unit":"GB RAM","category":"Infrastructure","dataType":"text","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"8GB (per node, 3+ nodes recommended)","valueNumber":24,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"512MB standalone","valueNumber":0.5,"valueBoolean":null,"winner":true}]},{"id":"cmrd439no017967zzxsvatu29","slug":"query-latency-on-100gb-dataset","name":"Query Latency on 100GB Dataset","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"5-30 seconds","valueNumber":17.5,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.1-0.5 seconds","valueNumber":0.3,"valueBoolean":null,"winner":true}]},{"id":"cmqgixs3i000ilmjyg7b01n8r","slug":"maximum-practical-data-size","name":"Maximum Practical Data Size","unit":"TB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"100,000+ (petabyte scale)","valueNumber":100000,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1,000","valueNumber":1000,"valueBoolean":null,"winner":false}]},{"id":"cmrd439od017l67zzs1ao85qf","slug":"memory-usage-for-10gb-query","name":"Memory Usage for 10GB Query","unit":"GB","category":"Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2-4GB","valueNumber":3,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.5-1GB","valueNumber":0.75,"valueBoolean":null,"winner":true}]},{"id":"cmrd439or017r67zzswnx47el","slug":"time-to-first-query-fresh-install-","name":"Time to First Query (fresh install)","unit":"minutes","category":"Setup","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"45-120 (including cluster setup)","valueNumber":82.5,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2-5 (download and run)","valueNumber":3.5,"valueBoolean":null,"winner":true}]},{"id":"cmqs8jnr3018dr09q2cuacp9x","slug":"number-of-supported-languages","name":"Number of Supported Languages","unit":"languages","category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"6 (Scala, Python, SQL, R, Java, Go)","valueNumber":6,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"5 (SQL, Python, R, C++, Go)","valueNumber":5,"valueBoolean":null,"winner":false}]},{"id":"cmrd439pf018367zz8h59kcm0","slug":"community-github-stars-2026-","name":"Community GitHub Stars (2026)","unit":"stars","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"39,500+","valueNumber":39500,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"21,800+","valueNumber":21800,"valueBoolean":null,"winner":false}]},{"id":"cmrd439pr018967zzp5d13vvr","slug":"query-processing-throughput-gbps-","name":"Query Processing Throughput (GBps)","unit":"GB/s","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"1-10 (cluster dependent)","valueNumber":5.5,"valueBoolean":null,"winner":false},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-100 (vectorized)","valueNumber":55,"valueBoolean":null,"winner":true}]},{"id":"cmrd5gxcq02zj67zzpkmyvwxh","slug":"typical-processing-speed-iterative-queries-","name":"Typical Processing Speed (iterative queries)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2-5 seconds","valueNumber":3,"valueBoolean":null}]},{"id":"cmrd5gxcz02zp67zzk5j55dh9","slug":"memory-requirements-per-node","name":"Memory Requirements per Node","unit":"GB","category":"Hardware","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"16-64 GB (in-memory caching)","valueNumber":32,"valueBoolean":null}]},{"id":"cmrd5gxd702zv67zzpfn2nxbk","slug":"real-time-streaming-support","name":"Real-time Streaming Support","unit":null,"category":"Capabilities","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Native (Spark Streaming, Structured Streaming)","valueNumber":null,"valueBoolean":null}]},{"id":"cmrd5gxde030167zz6yoeuexe","slug":"production-deployments-estimated-2024-","name":"Production Deployments (estimated 2024)","unit":"thousands","category":"Adoption","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"450,000+ globally","valueNumber":450,"valueBoolean":null}]},{"id":"cmrd5gxdm030767zzrow9luio","slug":"setup-time-basic-cluster-","name":"Setup Time (basic cluster)","unit":"hours","category":"Deployment","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"1-2 hours","valueNumber":1.5,"valueBoolean":null}]},{"id":"cmrd5gxdu030d67zzwvligmkl","slug":"active-development-2024-2026-","name":"Active Development (2024-2026)","unit":null,"category":"Maintenance","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"Highly active (Apache Foundation priority)","valueNumber":null,"valueBoolean":null}]},{"id":"cmrd5gxe4030j67zzt5ad08mx","slug":"approximate-learning-time-for-developers","name":"Approximate Learning Time for Developers","unit":"weeks","category":"Developer Experience","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2-4 weeks","valueNumber":3,"valueBoolean":null}]},{"id":"cmouznzao001bdyq076nopaln","slug":"first-release-year","name":"First Release Year","unit":null,"category":"History","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqgixs1q0005lmjyugq6ccb5","valueText":"2014","valueNumber":2014,"valueBoolean":null,"winner":true},{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2019","valueNumber":2019,"valueBoolean":null,"winner":false}]},{"id":"cmqd6w0os00698hw3v2cqnwsm","slug":"maximum-cluster-size","name":"Maximum Cluster Size","unit":"nodes","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1 (single machine)","valueNumber":1,"valueBoolean":null}]},{"id":"cmqd6w0p6006f8hw32d0u08r9","slug":"query-latency-1gb-aggregation-","name":"Query Latency (1GB aggregation)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50ms","valueNumber":30,"valueBoolean":null}]},{"id":"cmqd6w0pg006l8hw3i2rn34s7","slug":"compression-ratio-typical-","name":"Compression Ratio (typical)","unit":"ratio","category":"Efficiency","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"4:1 to 8:1","valueNumber":6,"valueBoolean":null}]},{"id":"cmqd6w0pp006r8hw34i9oya68","slug":"memory-required-minimal-","name":"Memory Required (minimal)","unit":"MB","category":"Resource Usage","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50MB","valueNumber":30,"valueBoolean":null}]},{"id":"cmqd6w0qb006x8hw33c99nqyr","slug":"ingest-throughput","name":"Ingest Throughput","unit":"million rows/second","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50 million rows/sec","valueNumber":30,"valueBoolean":null}]},{"id":"cmqd6w0qw00798hw300w2v2qs","slug":"sql-standard-compliance","name":"SQL Standard Compliance","unit":"percent","category":"Compatibility","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"95% ANSI SQL","valueNumber":95,"valueBoolean":null}]},{"id":"cmqfg2hv200a9wj6nbngw3chv","slug":"aggregation-query-time-1-billion-rows-","name":"Aggregation Query Time (1 billion rows)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.5-2 seconds","valueNumber":1,"valueBoolean":null}]},{"id":"cmqfg2hvj00afwj6npq2jo7d4","slug":"memory-usage-1tb-analytical-dataset-","name":"Memory Usage (1TB analytical dataset)","unit":"GB","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50 GB","valueNumber":30,"valueBoolean":null}]},{"id":"cmnf2jcm500v12s3jbbrl773n","slug":"acid-compliance-level","name":"ACID Compliance Level","unit":null,"category":"Reliability","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Partial (batch insert-optimized)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqfg2hw800arwj6nymzgifrz","slug":"concurrent-write-support","name":"Concurrent Write Support","unit":null,"category":"Concurrency","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Single-threaded writes only","valueNumber":1,"valueBoolean":null}]},{"id":"cmqffp5tm0073wj6n2316wth0","slug":"years-in-production","name":"Years in Production","unit":"years","category":"Maturity","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"5 years (since 2019)","valueNumber":5,"valueBoolean":null}]},{"id":"cmqfg2hwv00b3wj6nmg4lleim","slug":"native-format-support","name":"Native Format Support","unit":null,"category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Parquet, CSV, JSON, Iceberg, Hugging Face","valueNumber":null,"valueBoolean":null}]},{"id":"cmqfg2hxa00b9wj6n9dsjcnrv","slug":"database-file-size-limit","name":"Database File Size Limit","unit":"TB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Unlimited","valueNumber":null,"valueBoolean":null}]},{"id":"cmqfg2hxm00bfwj6nus79tjj2","slug":"production-deployments-estimated-","name":"Production Deployments (Estimated)","unit":"count","category":"Adoption","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Growing (100K+)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqg58oip004aw2p8blt5s1x7","slug":"typical-maximum-dataset-size","name":"Typical Maximum Dataset Size","unit":"GB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"~100 GB","valueNumber":100,"valueBoolean":null}]},{"id":"cmqg58oix004gw2p8844rbsa1","slug":"query-latency-100m-rows-simple-aggregation-","name":"Query Latency (100M rows, simple aggregation)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"50-200ms","valueNumber":125,"valueBoolean":null}]},{"id":"cmqg58oj6004mw2p82p72f7mw","slug":"idle-memory-usage","name":"Idle Memory Usage","unit":"MB","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"50-100 MB","valueNumber":75,"valueBoolean":null}]},{"id":"cmqfdjjjg000iwj6ndpcaz1b3","slug":"data-compression-ratio","name":"Data Compression Ratio","unit":"x compression","category":"Storage Efficiency","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"5-8x","valueNumber":6.5,"valueBoolean":null}]},{"id":"cmqj96l4200v4nco2p415sc13","slug":"aggregation-query-speed-10m-rows-","name":"Aggregation Query Speed (10M rows)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2.3s","valueNumber":2.3,"valueBoolean":null}]},{"id":"cmqj96l4f00vanco2karipsm5","slug":"memory-usage-1gb-dataset-","name":"Memory Usage (1GB dataset)","unit":"MB","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"450MB","valueNumber":450,"valueBoolean":null}]},{"id":"cmqj96l4p00vgnco2vi99sgaf","slug":"sql-standard-coverage","name":"SQL Standard Coverage","unit":"% of SQL:2016","category":"Feature Completeness","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"95%","valueNumber":95,"valueBoolean":null}]},{"id":"cmqj96l4y00vmnco2osopdois","slug":"acid-transactions","name":"ACID Transactions","unit":null,"category":"Data Integrity","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Fully supported","valueNumber":null,"valueBoolean":null}]},{"id":"cmqj96l5600vsnco2eh60udvv","slug":"core-language","name":"Core Language","unit":null,"category":"Implementation","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"C++ (Rust bindings available)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqj96l5f00vynco2t68ww3xv","slug":"language-bindings-supported","name":"Language Bindings Supported","unit":"count","category":"Ecosystem","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"5 (Python, R, Java, Node.js, Go)","valueNumber":5,"valueBoolean":null}]},{"id":"cmqj96l5v00wanco2cwc08yzu","slug":"latest-stable-version","name":"Latest Stable Version","unit":null,"category":"Development","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"v0.10.0 (2024)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqmn9lol004a8q83xi14yltx","slug":"total-cost-of-ownership-annual-100tb-dataset-","name":"Total Cost of Ownership (Annual, 100TB dataset)","unit":"USD","category":"Cost","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"$0","valueNumber":0,"valueBoolean":null}]},{"id":"cmqd6w0ql00738hw3c55u9g5p","slug":"setup-time-to-first-query","name":"Setup Time to First Query","unit":"minutes","category":"Ease of Use","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"< 1 minute","valueNumber":0.5,"valueBoolean":null}]},{"id":"cmqmn9lp6004m8q83ugddc1fi","slug":"query-latency-10gb-dataset-simple-aggregate-","name":"Query Latency (10GB dataset, simple aggregate)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.3 seconds","valueNumber":0.3,"valueBoolean":null}]},{"id":"cmqmn9lpg004s8q830sxnrn4d","slug":"query-latency-1tb-dataset-complex-join-","name":"Query Latency (1TB dataset, complex join)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"3-5 seconds","valueNumber":4,"valueBoolean":null}]},{"id":"cmqmn9lpq004y8q83vrqe1x9d","slug":"maximum-supported-dataset-size","name":"Maximum Supported Dataset Size","unit":"TB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2 TB (local)","valueNumber":2,"valueBoolean":null}]},{"id":"cmqmn9lpz00548q83p52eeegt","slug":"concurrent-user-queries","name":"Concurrent User Queries","unit":"users","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1-5 simultaneous","valueNumber":3,"valueBoolean":null}]},{"id":"cmqmn9lqa005a8q83ibudgbkw","slug":"built-in-machine-learning-capabilities","name":"Built-in Machine Learning Capabilities","unit":null,"category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"No (requires external integration)","valueNumber":null,"valueBoolean":null}]},{"id":"cmq129ux0000c4shk4pzvjqmo","slug":"github-stars-community-traction-","name":"GitHub Stars (Community Traction)","unit":"thousands","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"18,500+","valueNumber":18500,"valueBoolean":null}]},{"id":"cmqfyqq6o008nmrq6r6hk0yoa","slug":"setup-time-minutes-","name":"Setup Time (Minutes)","unit":"minutes","category":"Ease of Use","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"5-10","valueNumber":7,"valueBoolean":null}]},{"id":"cmqpck6gg00ib10z2usq0vgat","slug":"query-latency-on-1gb-dataset","name":"Query Latency on 1GB Dataset","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"10-50","valueNumber":25,"valueBoolean":null}]},{"id":"cmqpck6gu00in10z2wxhwqmrd","slug":"minimum-cluster-nodes-required","name":"Minimum Cluster Nodes Required","unit":"nodes","category":"Infrastructure","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1","valueNumber":1,"valueBoolean":null}]},{"id":"cmqpck6h100it10z2osj0mdim","slug":"real-time-streaming-ingestion","name":"Real-time Streaming Ingestion","unit":null,"category":"Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Batch-focused only","valueNumber":null,"valueBoolean":null}]},{"id":"cmqpck6h700iz10z2e4b4ez2a","slug":"concurrent-queries-supported","name":"Concurrent Queries Supported","unit":"queries","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Limited by single machine","valueNumber":null,"valueBoolean":null}]},{"id":"cmqpck6hk00jb10z2fsx8gl1x","slug":"annual-infrastructure-cost-1tb-dataset-","name":"Annual Infrastructure Cost (1TB dataset)","unit":"USD","category":"Cost","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0-5,000","valueNumber":2500,"valueBoolean":null}]},{"id":"cmqpdx4pp007n1ja7d4csrfzh","slug":"query-performance-on-10gb-parquet-file-group-by-aggregation-","name":"Query Performance on 10GB Parquet File (GROUP BY aggregation)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1.2 seconds","valueNumber":1.2,"valueBoolean":null}]},{"id":"cmqpdx4q1007t1ja7ogon2w8c","slug":"memory-usage-10gb-dataset-analysis-","name":"Memory Usage (10GB dataset analysis)","unit":"GB","category":"Resource Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"2.1 GB (with compression)","valueNumber":2.1,"valueBoolean":null}]},{"id":"cmqpdx4qa007z1ja7sc3ct1xx","slug":"startup-import-time","name":"Startup/Import Time","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"45ms (lightweight binary)","valueNumber":45,"valueBoolean":null}]},{"id":"cmqpdx4qi00851ja77jm7z2wa","slug":"number-of-built-in-data-transformation-methods","name":"Number of Built-in Data Transformation Methods","unit":"count","category":"API Completeness","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"65 SQL functions + standard","valueNumber":65,"valueBoolean":null}]},{"id":"cmqpdx4qr008b1ja75eklgzwk","slug":"stack-overflow-questions-as-of-2026-","name":"Stack Overflow Questions (as of 2026)","unit":"thousands","category":"Community Support","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"8.2K questions","valueNumber":8.2,"valueBoolean":null}]},{"id":"cmqpdx4r0008h1ja7tyo5vmk8","slug":"maximum-dataset-size-without-disk-streaming-","name":"Maximum Dataset Size (without disk streaming)","unit":"GB","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1000+ GB (out-of-core)","valueNumber":1000,"valueBoolean":null}]},{"id":"cmqpdx4r9008n1ja7ojtecfrb","slug":"sql-window-function-support","name":"SQL Window Function Support","unit":"yes/no","category":"SQL Features","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Yes (ROW_NUMBER, LAG, LEAD, RANK, etc.)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqpdx4rv008t1ja7v0a6tgsc","slug":"time-to-analyze-100mb-csv-end-to-end-","name":"Time to Analyze 100MB CSV (end-to-end)","unit":"seconds","category":"Workflow Speed","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"3.8 seconds","valueNumber":3.8,"valueBoolean":null}]},{"id":"cmnbmkzqe00jrslg4x15wjy90","slug":"base-monthly-cost","name":"Base Monthly Cost","unit":"USD","category":"Pricing","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Free","valueNumber":0,"valueBoolean":null}]},{"id":"cmqeqt88y0075jwxr9i89t1ky","slug":"free-tier-storage","name":"Free Tier Storage","unit":"million vectors","category":"Capacity","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Unlimited (disk-dependent)","valueNumber":null,"valueBoolean":null}]},{"id":"cmqvty6rj00adr51ctzls9ffq","slug":"free-tier-row-reads-month","name":"Free Tier Row Reads/Month","unit":"millions","category":"Quotas","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Unlimited","valueNumber":null,"valueBoolean":null}]},{"id":"cmodmsyo100annv6uy4tac09q","slug":"global-edge-locations","name":"Global Edge Locations","unit":"locations","category":"Infrastructure","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"None (local only)","valueNumber":0,"valueBoolean":null}]},{"id":"cmqvty6ry00apr51ctffp5wav","slug":"olap-query-speed-1gb-dataset-","name":"OLAP Query Speed (1GB dataset)","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"50-100ms","valueNumber":75,"valueBoolean":null}]},{"id":"cmqmkamqe00codz1rkcr935g0","slug":"replication-latency","name":"Replication Latency","unit":"milliseconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Not supported","valueNumber":null,"valueBoolean":null}]},{"id":"cmqp7jet3004vva9es8n7zvji","slug":"installation-required","name":"Installation Required","unit":null,"category":"Convenience","dataType":"text","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"No (embedded library)","valueNumber":null,"valueBoolean":null}]},{"id":"cmrc25y4d0047znhzjozb2mmi","slug":"ingestion-rate-events-second-","name":"Ingestion Rate (events/second)","unit":"events/sec","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"50,000","valueNumber":50000,"valueBoolean":null}]},{"id":"cmrc25y4n004dznhznlfgbr4i","slug":"query-latency-1b-rows-","name":"Query Latency (1B rows)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.5-2","valueNumber":1.25,"valueBoolean":null}]},{"id":"cmqztgycq001pxnxuhc4f86o3","slug":"maximum-recommended-dataset-size","name":"Maximum Recommended Dataset Size","unit":"rows","category":"Performance","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1","valueNumber":1,"valueBoolean":null}]},{"id":"cmq9xuv49002p11c7omgny8bm","slug":"deployment-time","name":"Deployment Time","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"0.08","valueNumber":0.08,"valueBoolean":null}]},{"id":"cmqhv2z3m004smpkebitb5wcs","slug":"minimum-cluster-size","name":"Minimum Cluster Size","unit":"nodes","category":"Infrastructure","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1","valueNumber":1,"valueBoolean":null}]},{"id":"cmrc25y670057znhzsawwfw36","slug":"multi-node-support","name":"Multi-node Support","unit":"boolean","category":"Architecture","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"No (single-node only)","valueNumber":null,"valueBoolean":null}]},{"id":"cmrc25y6i005dznhzgfsy0is9","slug":"real-time-upsert-support","name":"Real-time Upsert Support","unit":"boolean","category":"Features","dataType":"text","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"No (batch only)","valueNumber":null,"valueBoolean":null}]},{"id":"cmrc5u8to0159wm9d9ikwy8qg","slug":"query-speed-1gb-csv-aggregation-","name":"Query Speed (1GB CSV aggregation)","unit":"seconds","category":"Performance","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"1.2 seconds","valueNumber":1.2,"valueBoolean":null}]},{"id":"cmqs8jnq7017vr09qy5667z58","slug":"maximum-practical-dataset-size","name":"Maximum Practical Dataset Size","unit":"petabytes","category":"Scalability","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"100+ GB","valueNumber":100,"valueBoolean":null}]},{"id":"cmrc5u8u5015lwm9d9ilpv5px","slug":"memory-usage-1gb-csv-load-","name":"Memory Usage (1GB CSV load)","unit":"MB","category":"Efficiency","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"200 MB (compressed)","valueNumber":200,"valueBoolean":null}]},{"id":"cmrc5u8ud015rwm9dsb3l4884","slug":"built-in-statistical-functions","name":"Built-in Statistical Functions","unit":"count","category":"Features","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"200+","valueNumber":200,"valueBoolean":null}]},{"id":"cmrc5u8ul015xwm9d2fu6rgp2","slug":"sql-support-level","name":"SQL Support Level","unit":null,"category":"Query Language","dataType":"text","higherIsBetter":null,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"Full ANSI SQL + extensions","valueNumber":null,"valueBoolean":null}]},{"id":"cmp1d4607000tcccnp4q9xq0f","slug":"learning-curve-1-10-scale-","name":"Learning Curve (1-10 scale)","unit":"difficulty level","category":"Operability","dataType":"number","higherIsBetter":false,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"7 (requires SQL)","valueNumber":7,"valueBoolean":null}]},{"id":"cmrc5u8v00169wm9dgd3p2kb9","slug":"stack-overflow-questions-answered","name":"Stack Overflow Questions Answered","unit":"count","category":"Community","dataType":"number","higherIsBetter":true,"values":[{"entityId":"cmqd6w0o200628hw3ac3indd9","valueText":"3,200","valueNumber":3200,"valueBoolean":null}]}],"faqs":[{"question":"When should I use DuckDB instead of Spark?","answer":"Use DuckDB when your dataset is under 1TB, you need interactive query responses (sub-second latency), you want zero infrastructure overhead, or you're building an embedded analytics feature in an application. DuckDB's 100-500ms latency is 10-100x faster than Spark's 5-30 second queries on equivalent datasets. For single-analyst exploration or small team BI, DuckDB eliminates cluster management entirely."},{"question":"Can DuckDB replace Spark for production analytics?","answer":"DuckDB can replace Spark for production analytics pipelines on datasets under 1TB, but not for petabyte-scale processing or cross-organization distributed computing. DuckDB is production-ready for embedded analytics, API-backed dashboards, and data science workflows. If your data exceeds 1TB or requires horizontal scaling across 100+ nodes, Spark remains necessary."},{"question":"What's the cost difference between Spark and DuckDB?","answer":"DuckDB is free and open-source with minimal infrastructure costs (runs on laptops or small VMs). Spark is free but requires significant infrastructure: a 10-node cluster costs $500-2,000/month on AWS (EC2 + EMR). Enterprise Spark support (Databricks) adds $30,000-100,000+ annually. For sub-1TB analytics, DuckDB's zero infrastructure cost saves 95% compared to Spark clusters."},{"question":"How do the query languages compare?","answer":"Both support standard SQL, but Spark also supports Scala, Python, R, and Java DataFrames with distributed operations. DuckDB supports SQL plus bindings for Python, R, C++, and Go. For pure SQL analytics, both are equivalent. For complex transformations, Spark's multi-language ecosystem (especially Scala and PySpark) offers more flexibility than DuckDB's Python focus."},{"question":"Can I migrate from Spark to DuckDB or vice versa?","answer":"Migrating from Spark to DuckDB is straightforward for queries under 1TB: Parquet and CSV files load directly into DuckDB without conversion. Migrating from DuckDB to Spark requires packaging your data in distributed format (Parquet shards across HDFS/S3). Most migrations go Spark → DuckDB for cost/latency savings. Reverse migrations (DuckDB → Spark) occur when data grows beyond 1TB."}],"relatedComparisons":[{"slug":"duckdb-vs-spark","title":"DuckDB vs Apache Spark","category":"software"},{"slug":"apache-spark-vs-duckdb","title":"Apache Spark vs DuckDB","category":"software"},{"slug":"clickhouse-vs-duckdb","title":"ClickHouse vs DuckDB","category":"software"},{"slug":"duckdb-vs-sqlite","title":"DuckDB vs SQLite","category":"software"},{"slug":"duckdb-vs-polars","title":"DuckDB vs Polars","category":"software"},{"slug":"apache-spark-vs-databricks","title":"Apache Spark vs Databricks","category":"software"},{"slug":"apache-spark-vs-dbt","title":"Apache Spark vs dbt","category":"software"},{"slug":"duckdb-vs-bigquery","title":"DuckDB vs BigQuery","category":"software"},{"slug":"apache-spark-vs-bigquery","title":"Apache Spark vs Google BigQuery","category":"software"},{"slug":"pinot-vs-duckdb","title":"Pinot vs DuckDB","category":"software"},{"slug":"duckdb-vs-pandas","title":"DuckDB vs Pandas","category":"software"},{"slug":"hadoop-vs-apache-spark","title":"Hadoop vs Apache Spark","category":"software"}],"relatedBlogPosts":[{"slug":"best-streaming-services-in-2026-top-picks-for-every-budget-interest","title":"Best Streaming Services in 2026: Top Picks for Every Budget & Interest","excerpt":"Navigating the crowded streaming landscape in 2026 can be overwhelming. We've tested and ranked the best streaming services that offer the most value, from Netflix's massive library to budget-friendly options like Tubi, helping you cut cable and find your perfect entertainment solution.","category":"technology"},{"slug":"best-live-tv-streaming-services-plans-for-spring-2026-complete-buyers-guide","title":"Best Live TV Streaming Services & Plans for Spring 2026: Complete Buyer's Guide","excerpt":"Tired of overpaying for cable? Discover the best live TV streaming services and plans for Spring 2026, including YouTube TV's new genre-based packages starting at $55/month. Our comprehensive guide breaks down pricing, channels, and features to help you cut the cord.","category":"technology"},{"slug":"philo-in-2026-streaming-tv-service-review-pricing-reddit-community-insights","title":"Philo in 2026: Streaming TV Service Review, Pricing & Reddit Community Insights","excerpt":"Explore Philo's evolution heading into 2026, including pricing tiers, channel lineup, and how it compares to competitors like Sling TV. Discover what the r/PhiloTV Reddit community thinks about the service's current offerings and future prospects.","category":"technology"},{"slug":"best-us-fighter-jets-2026-top-american-combat-aircraft-ranked","title":"Best US Fighter Jets 2026: Top American Combat Aircraft Ranked","excerpt":"Discover the most advanced US fighter jets dominating the skies in 2026. From the legendary F-22 Raptor to the versatile F-35 Lightning II, we rank America's best combat aircraft based on performance, stealth, and air superiority capabilities.","category":"technology"},{"slug":"philo-in-2026-pricing-lineup-how-it-compares-to-sling-tv","title":"Philo in 2026: Pricing, Lineup & How It Compares to Sling TV","excerpt":"As we head into 2026, Philo continues to position itself as an affordable streaming alternative for cable TV lovers. Discover what Philo offers, how its pricing stacks up against competitors like Sling TV, and what the Reddit community thinks about its future.","category":"technology"}],"metadata":{"metaTitle":"Apache Spark vs DuckDB 2026: Which Is Better?","metaDescription":"Compare Apache Spark vs DuckDB: Spark handles petabyte-scale distributed computing; DuckDB offers 50x faster analytics on sub-1TB datasets with zero setup.","publishedAt":"2026-07-09T06:14:24.304Z","updatedAt":"2026-07-09T06:14:24.389Z","isAutoGenerated":true,"isHumanReviewed":false,"viewCount":0}}