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Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Spark Alternatives

The best Apache Spark alternatives based on verified products, votes, reviews and other factors.
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  1. Open-source software for reliable, scalable, distributed computing

  2. Seamless project management and collaboration for your team.

    $12.0 / Monthly (Per user)

  3. Hadoop-Related

  4. Fast column-oriented distributed data store

  5. Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

  6. OLAP Engine for Big Data

  7. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

  8. Distributed SQL Query Engine for Big Data (by Facebook)

  9. Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

  10. Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

  11. Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

  12. Level up your Java code and explore what Spring can do for you.

  13. Apache Storm is a free and open source distributed realtime computation system.

Apache Spark Reviews

External sources with reviews and comparisons of Apache Spark

5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph...
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This article was published on | Author: | Publisher: SaaSHub
Categories: Databases, Big Data, Big Data Analytics