Lightning Fast Cluster Computing
Apache Spark is a high performing general engine for large-scale data processing. While Spark can provide advanced analytics capabilities, it requires a fast, distributed back-end data store. Cassandra is the most modern, reliable and scalable choice for that data store.
Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing. Runs programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python and R shells.
Your Spark engine is right where your operational database resides. No need for extracting, transforming and loading into a new environment.
We provide Apache Cassandra as a managed service and Spark fully integrates with the key components of the Cassandra.
Colocation of operational database and your analytics engine provides the capability to stream for true real time analytics.