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.
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distribute ...
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unboun ...
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apa ...
Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, ...
Upsolver is an In-Memory Data Preparation Platform. It removes the complexity from Big Data and Real-Time projects and shorten ...
A realtime, distributed, fault-tolerant stream processing engine from Twitter
Amazon Kinesis makes it easy to work with real-time streaming data in AWS. Amazon Kinesis is a platform for streaming data on ...
Apache Gearpump is a real-time big data streaming engine. The name Gearpump is a reference to the engineering term “gear pump” ...