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.
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Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to...
Features:
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Features:
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...
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce paradigm and written in Python.
Features:
Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter http://heronstreaming.io .
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