Apache Spark
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Some of the top features or benefits of Apache Spark are: Speed, Ease of Use, Advanced Analytics, Scalability, Support for Various Data Sources, and Active Community. You can visit the info page to learn more.
- Open Source
Best Apache Spark Alternatives & Competitors in 2025
The best Apache Spark alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Open-source software for reliable, scalable, distributed computing
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The most intuitive platform to manage projects and teamwork
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Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
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Apache Storm is a free and open source distributed realtime computation system.
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Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
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Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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Level up your Java code and explore what Spring can do for you.
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Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.
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PostgreSQL is a powerful, open source object-relational database system.
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Distributed SQL Query Engine for Big Data (by Facebook)
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.