Apache Storm Alternatives
Apache Storm
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. Storm is simple, can be used with any programming language, and is a lot of fun to use!
Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
Best Open Source Apache Storm Alternatives
Hate Apache Storm? Use another browser! Which one should you go with? Try out these other browsers before making your final decision. Want some more context? We've got a great list of alternatives to Apache Storm here.
Apache Spark
FreeOpen SourceMacWindowsLinuxApache 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...
Features:
- Machine Learning
- Data analytics
- Parallel Computing
Apache Flink
FreeOpen SourceMacWindowsLinuxBSDFlink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Features:
- Data analytics
- Machine Learning
Heron
FreeOpen SourceLinuxHeron is a realtime, distributed, fault-tolerant stream processing engine from Twitter http://heronstreaming.io .
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