{"slug":"duckdb-vs-spark)","title":"DuckDB vs Apache Spark","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","faqCount":5,"faqs":[{"question":"When should I use DuckDB instead of Spark?","answer":"Use DuckDB when your dataset is under 1TB, you need interactive query response times (sub-second), you're working locally or with a single machine, and you want zero infrastructure overhead. DuckDB is ideal for data exploration, ad-hoc analytics, and notebooks. Spark is overkill for these use cases and adds unnecessary complexity."},{"question":"Can DuckDB handle streaming data like Spark?","answer":"No, DuckDB is designed for analytical SQL on static/batch data. It does not natively support streaming ingestion. Apache Spark has Structured Streaming for real-time data processing. If you need streaming, Spark is the right choice, or consider complementing DuckDB with a separate streaming system like Kafka."},{"question":"Is DuckDB production-ready?","answer":"Yes, DuckDB 1.0 reached production stability in 2024. However, its production use case is limited to single-machine deployments. Multi-node clustering (Motherduck) is in beta. For mission-critical distributed systems, Spark has more mature production deployments across thousands of organizations."},{"question":"What's the cost difference between DuckDB and Spark?","answer":"DuckDB is open-source and free. Apache Spark is also open-source and free, but requires infrastructure costs (servers, clusters, cloud resources). Motherduck (DuckDB's cloud offering) costs $0.005 per GB scanned. Databricks (Spark managed service) costs significantly more. For pure software, both are free; costs come from infrastructure."},{"question":"Can I migrate from Spark to DuckDB or vice versa?","answer":"Partial migration is possible. DuckDB uses standard SQL, so Spark SQL queries often work directly. However, Spark's distributed execution model, RDDs, and complex transformations don't translate to DuckDB. You can use DuckDB for small datasets, then scale to Spark if needed. The reverse (Spark to DuckDB) is not practical for large-scale systems."}],"faqPageSchema":{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#faq","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","inLanguage":"en-US","name":"DuckDB vs Apache Spark — FAQ","description":"Frequently asked questions about DuckDB vs Apache Spark","dateModified":"2026-07-09T13:35:35.768Z","author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"publisher":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"isPartOf":{"@type":"Article","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#article"},"license":"https://creativecommons.org/licenses/by/4.0/","speakable":{"@type":"SpeakableSpecification","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#faq-speakable","cssSelector":[".faq-answer"]},"mainEntity":[{"@type":"Question","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#q1","name":"When should I use DuckDB instead of Spark?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#a1","text":"Use DuckDB when your dataset is under 1TB, you need interactive query response times (sub-second), you're working locally or with a single machine, and you want zero infrastructure overhead. DuckDB is ideal for data exploration, ad-hoc analytics, and notebooks. Spark is overkill for these use cases and adds unnecessary complexity.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#q2","name":"Can DuckDB handle streaming data like Spark?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#a2","text":"No, DuckDB is designed for analytical SQL on static/batch data. It does not natively support streaming ingestion. Apache Spark has Structured Streaming for real-time data processing. If you need streaming, Spark is the right choice, or consider complementing DuckDB with a separate streaming system like Kafka.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#q3","name":"Is DuckDB production-ready?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#a3","text":"Yes, DuckDB 1.0 reached production stability in 2024. However, its production use case is limited to single-machine deployments. Multi-node clustering (Motherduck) is in beta. For mission-critical distributed systems, Spark has more mature production deployments across thousands of organizations.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#q4","name":"What's the cost difference between DuckDB and Spark?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#a4","text":"DuckDB is open-source and free. Apache Spark is also open-source and free, but requires infrastructure costs (servers, clusters, cloud resources). Motherduck (DuckDB's cloud offering) costs $0.005 per GB scanned. Databricks (Spark managed service) costs significantly more. For pure software, both are free; costs come from infrastructure.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}},{"@type":"Question","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#q5","name":"Can I migrate from Spark to DuckDB or vice versa?","answerCount":1,"acceptedAnswer":{"@type":"Answer","@id":"https://www.aversusb.net/compare/duckdb-vs-spark)#a5","text":"Partial migration is possible. DuckDB uses standard SQL, so Spark SQL queries often work directly. However, Spark's distributed execution model, RDDs, and complex transformations don't translate to DuckDB. You can use DuckDB for small datasets, then scale to Spark if needed. The reverse (Spark to DuckDB) is not practical for large-scale systems.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/duckdb-vs-spark)","upvoteCount":1,"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"}}}]}}