Apache Hadoop Alternatives

Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.

Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.

Apache Storm makes it easy to reliably process unbounded streams of data for real-time processing. It is a distributed stream processing computation framework written predominantly in the programming language Clojure. The software is released free and open-source under the Apache License. In a nutshell, Apache Storm does to real-time processing, what Apache Hadoop did to bactch processing. Large corporations like Weather Channel, FullContact, Twitter, Yahoo, Spotify, and Alibaba use and trust Apache Storm for big data analytics with fault-tolerance and fast data processing.