Apache Flink is described as 'Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams'. There are more than 10 alternatives to Apache Flink for a variety of platforms, including Linux, Mac, Windows, Online / Web-based and Self-Hosted solutions. The best alternative is Apache Spark, which is both free and Open Source. Other great apps like Apache Flink are Apache Hadoop (Free, Open Source), Splunk (Freemium), Disco MapReduce (Free, Open Source) and Robotic Data Automation (RDA) (Freemium).
Apache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to work with thousands of computational independent computers and petabytes of data.
Splunk is software that provides unique visibility across your entire IT infrastructure from one place in real time. Only Splunk enables you to search, report, monitor and analyze streaming and historical data from any source.
Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google.
RDA automates IT DataOps with low-code software bots and pipelines authored in AIOps Studio. RDA lets you go from data to insights and action in minutes. ITOps personnel, professional service teams and MSPs can accelerate AIOps/Observability projects.
IQLECT is the creator of Ampere, a real-time big data analytics platform. Various apps for data center infrastructure monitoring, clickstream analysis, log analysis and others can be deployed on the platform.
Apache Storm is a 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.