Apache Storm vs Heron: What are the differences?
Apache Storm: Distributed and fault-tolerant realtime computation. 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 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; Heron: Realtime, distributed, fault-tolerant stream processing engine from Twitter. Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.
Apache Storm and Heron can be categorized as "Stream Processing" tools.
Apache Storm and Heron are both open source tools. It seems that Apache Storm with 5.81K GitHub stars and 3.94K forks on GitHub has more adoption than Heron with 3.39K GitHub stars and 602 GitHub forks.
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