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 and compute-compute separation. No replicas needed for isolation. Run multiple applications on a single real-time dataset.
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
Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion
5 Steps for Migrating from Elasticsearch to Rockset for Real-Time Analytics
Case Study: How Rockset Turbocharges Real-Time Personalization at Whatnot
Introducing Compute-Compute Separation for Real-Time Analytics
Can I Do SQL-Style Joins in Elasticsearch?
CTO Talk: Comparing Elasticsearch and Rockset Streaming Ingest and Query Performance
Switch from Elasticsearch to Rockset for real-time analytics. Get more from your search and analytics database for less compute.
Reduce infra costs by 44%
Increase ingest speeds by 4x
Full SQL, including joins
20x faster development