Elasticsearch was designed for log analytics and optimized for text search. Rockset, a leading Elasticsearch alternative, is designed for real-time SQL search, aggregations and joins on event streams and CDC streams. Rockset is cloud-native and has compute-storage and compute-compute separation to avoid overprovisioning resources. Save on infrastructure costs and 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 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
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