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Open Source for the Enterprise
Home»Open Source Big Data Analytics

Open Source Big Data Analytics

LEADING OPEN SOURCE BIG DATA ANALYTICS SOFTWARE

Apache Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hadoop Core contains a distributed computing platform. This includes the Hadoop Distributed Filesystem (HDFS) and an implementation of MapReduce. 

Apache Spark 

Apache Sparks fills the gaps of Apache Hadoop concerning data processing. Interestingly, Spark can handle both batch data and real-time data. As Spark does in-memory data processing, it processes data much faster than traditional disk processing.

Apache Storm

Apache Storm is a distributed real-time framework for reliably processing the unbounded data stream

Apache Cassandra

Apache Cassandra is a distributed type database to manage a large set of data across the servers. This is one of the best big data tools that mainly processes structured data sets.

OTHER OPEN SOURCE BIG DATA ANALYTICS SOFTWARE

HPCC

HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.

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