Apache Spark™ is a fast and general engine for large-scale data processing.
Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Apache Spark has an advanced DAG execution engine that supports acyclic data flow and in-memory computing.
Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, and S3.
You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, or on Apache Mesos. Access data in HDFS, Cassandra, HBase, Hive, Tachyon, and any Hadoop data source.
Smart Source makes deploying Spark simple whether you need a free Proof-of-Concept (POC) trial, development environment, or a blown production environment.