Elasticsearch was designed for log analytics and optimized for text search. Rockset, a leading Elasticsearch alternative, is designed for real-time search, aggregations and joins on event streams and CDC streams. Reduce infrastructure costs using real-time data connectors, efficient upserts and compute-storage separation. Save ops time with a fully managed cloud-native real-time analytics database.
Ingest high volume event streams and CDC streams. Rockset’s Converged Index is mutable at an individual field level, with highly efficient upserts. Achieve better performance at scale with full isolation between ingest compute and query compute
Lower Infrastructure Costs
Eliminate hardware over-provisioning with compute-storage separation. Additionally, Rockset achieves 10-100x reduction in storage with streaming aggregations in the form of SQL-based rollups during ingestion
Faster Development Time
Elasticsearch was built for the datacenter era, demanding constant capacity planning, cluster management, re-indexing and re-sharding. Deploy real-time analytics 20x faster with Rockset’s fully managed cloud-native real-time analytics database
Run standard SQL, including complex JOINs on deeply nested JSON, with Rockset’s compute-efficient Converged Index. No denormalization required. The lack of performant JOINs in Elasticsearch is a huge constraint.
Xin Xia, Marketplace and DiscoveryRead More
Doug Moore, VP of CloudRead More
The Elasticsearch database is designed for log analytics. Use Rockset for real-time analytics with complex search, aggregations and JOINs on event streams and CDC streams. Scale with cloud-native efficiency.
Reduce infra costs by 44%
Increase ingest speeds by 4x
Full SQL, including joins
20x faster development