Software Alternatives, Accelerators & Startups

Hadoop

Open-source software for reliable, scalable, distributed computing

Hadoop Alternatives

The best Hadoop alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. 32

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

    Open Source

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  2. 12

    PostgreSQL is a powerful, open source object-relational database system.

    Open Source

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  4. 17

    The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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  5. 12

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

    Open Source

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  6. 10

    MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

    Open Source

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  7. 12

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

    Open Source

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  8. Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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  9. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

    Open Source

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  10. Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

    Open Source

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  11. Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

    Open Source

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  12. 11

    The world's most popular open source database

    Open Source

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  13. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    Open Source

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

    Open Source

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