Disco MapReduce Alternatives
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 Spark is the most popular Windows, Mac & Linux alternative to Disco MapReduce.
- - Apache Spark is the most popular Open Source & free alternative to Disco MapReduce.
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.
Apache Hadoop Features
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
- - Amazon Kinesis is the most popular SaaS alternative to Disco MapReduce.
- - Amazon Kinesis is the most popular commercial alternative to Disco MapReduce.
HPCC Systems offers an open source cluster computing platform used to solve Big Data problems. Its unique architecture and simple yet powerful data programming language (ECL) makes it a compelling solution to solve data intensive computing needs.
HPCC Systems Features
dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid. dispy is well suited for data parallell (SIMD) paradigm where a computation is evaluated with...