Software Alternatives & Reviews


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.

  2. 12

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

  3. Featured

    Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance.

    Try for free freemium $0.1 (per credit)

  4. 14

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

  5. 15

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

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


  7. 10

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

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


  9. 10

    The world's most popular open source database

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

  11. Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

  12. An enhanced, drop-in replacement for MySQL

  13. Ceph is a distributed object store and file system designed to provide excellent performance...

  14. Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Suggest an alternative
If you think we've missed something, suggest an alternative to Hadoop.

Generic Hadoop discussion

Log in or Post with

Hadoop Reviews

External sources with reviews and comparisons of Hadoop

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Read all Hadoop reviews →

Was this Hadoop alternatives list helpful? Your feedback is important!

Yes No

11 out of 14 people consider this list as helpful.
This is equivalent to 3.9 / 5 rating.

Author: | Publisher: SaaSHub
Categories: Databases, NoSQL Databases, Big Data


News from the blogs of product alternatives mentioned above