Alternatives to Hadoop
6 alternatives found
Apache Hadoop is an open-source framework for distributed storage and processing of large datasets, developed by Doug Cutting and Mike Cafarella and first released in 2006, inspired by Google's MapReduce and GFS papers. Hadoop's two core components are HDFS (Hadoop Distributed File System) for storing data across commodity hardware clusters, and YARN (Yet Another Resource Negotiator) for cluster resource management.
Apache Spark
100x faster in-memory processing — replaced MapReduce as the standard compute engine
AWS S3
Cloud object storage replacing HDFS — cheaper, no cluster management
Databricks
Managed Spark + Delta Lake — modern cloud data lake without Hadoop ops overhead
Google BigQuery
Serverless data warehouse — no cluster management, pay-per-query analytics
Snowflake
Cloud data warehouse with separation of storage and compute
Apache Flink
True streaming engine for real-time workloads Hadoop/MapReduce couldn't handle
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