Apache Storm is described as 'Free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing' and is an app. There are seven alternatives to Apache Storm for a variety of platforms, including Linux, Self-Hosted, SaaS, Web-based and Mac apps. The best Apache Storm alternative is Apache Spark, which is both free and Open Source. Other great apps like Apache Storm are Amazon Kinesis, ILUM, Gigasheet and Apache Flink.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Apache Spark is the most popular Self-Hosted alternative to Apache Storm.
Apache Spark is the most popular Open Source & free alternative to Apache Storm.
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Amazon Kinesis is the most popular SaaS alternative to Apache Storm.
Amazon Kinesis is the most popular commercial alternative to Apache Storm.
Gigasheet is the most popular Web-based alternative to Apache Storm.
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Apache Flink is the most popular Windows, Mac & Linux alternative to Apache Storm.
Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter.
Object storage has been nothing short of revolutionary. S3 broke ground in 2006 with simple storage operations on named objects – and 18 years later, S3 Express One Zone even allows appends. But ultimately, object storage is all about blobs and byte ranges.
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