SnappyData, the Spark Database. Stream - Transact - Analyze - Predict all in one cluster
SnappyData is a high performance in-memory data platform for mixed workload applications. Built on Apache Spark, SnappyData provides a unified programming model for streaming, transactions, machine learning and SQL Analytics in a single cluster. SnappyData unifies real time data sources with external data sources that have a Spark connector. SnappyData is 100% compatible with Apache Spark and is Open Sourced with an Apache V2 license.
20X faster
Than Apache Spark
Faster than Spark
Using a number of OLAP optimizations, SnappyData improves on the performance of Spark. Learn more
Unify real-time & static data sources
with in-memory processing
Unify data sources
Ingest streams, transactional data, NoSQL, SQL, HDFS, CSV, S3, JSON and access via SQL or the Spark API. Learn more
Simple, unified programming
For the big data audience
Simple Programming
Use SQL and Spark APIs for transactions, analytics, streaming, ML or map-reduce Learn more
Introducing Synopses Data Engine
Exponential Performance
Synopses Data Engine
Use machine learning & statistical techniques to condense large data sets and answer expensive in a fraction of the time & resources. Learn more
Performance
SnappyData delivers a 20X speed-up to Spark and a 100X speed-up using synopses data
Open Source
100% compatible with Apache Spark. 100% committed to Open source.
Why
SnappyData?
Flexible
Easily work with JSON/SQL/Objects. Work with all data sources supported by Spark.
Simple
One cluster to support transactions, streaming and analytics. Simpler to deploy, manage and own
-
Industrial Internet
Continuous ingestion of sensor data analyzed to predict failures before they happen.
-
Finance
Analytics Platform as a service in Finance: post-trade and tick analytics.
-
Ad Tech
Exploratory analytics for data scientists in the Ad Tech world
