Hadoop
Open-source software for reliable, scalable, distributed computing
- Open Source
Hadoop Alternatives
The best Hadoop alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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The most intuitive platform to manage projects and teamwork
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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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PostgreSQL is a powerful, open source object-relational database system.
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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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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Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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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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Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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The world's most popular open source database
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Minio is an open-source minimal cloud storage server.
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Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.