Snappydata
A distributed, in-memory optimized analytics database that fuses Apache Spark and Apache Geode for unified stream, transaction, and analytic workloads.
What is Snappydata?
SnappyData is a distributed, in-memory optimized analytics database that fuses Apache Spark and Apache Geode to provide a unified platform for streaming, transactional, and analytic workloads. It solves the problem of slow, batch-oriented analytics by enabling interactive query speeds over large datasets with minimal pre-processing, all within a single cluster.
Data engineers and analysts who need to perform real-time analytics on large volumes of data, especially those already using Apache Spark but seeking higher performance and unified stream/transaction capabilities.
Developers choose SnappyData for its ability to deliver up to 20x faster query performance compared to native Apache Spark, its support for both columnar and row storage, and its unique combination of stream ingestion, transactions, and analytic processing in one system.
Overview
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Use Cases
Best For
- Performing interactive ad-hoc analytics on large datasets without pre-aggregation
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