applications at cloud scale

Rockset is the search and analytics database built for the cloud, with real-time indexing and full-featured SQL on JSON, time series, geospatial and vector data.

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World's fastest search and analytics database

Measuring end-to-end latency with streaming ingest and high QPS workload
Streaming Ingest
p95 Query Latency
See performance benchmark ->
vector search diagramvector search diagram

Real-time indexing

Continuously ingest data and vector embeddings with built-in connectors for Kafka, MongoDB, DynamoDB, S3, OpenAI and more. Data is stored as a Converged Index with field level upserts
4x faster ingestCompare w/ Elasticsearch->

Millisecond SQL

Use standard SQL for fast search, filtering, aggregations, joins and vector search with powerful metadata filtering that’s as simple as a WHERE clause
67% FASTER QUERIESCompare w/ Clickhouse->
faster development of new features

Build real-time features in record time

Save thousands of developer hours with the flexibility of schemaless ingestion coupled with Data APIs for fast SQL search, aggregations, joins and vector search. Zero ETL, no denormalization, no managing shards, indexes or clusters.
lower compute and storage cost

Scale performance, not cost

Serve multiple, isolated apps from a single real-time dataset. Scale QPS instantly, without needing additional read replicas. Scale more efficiently in the cloud with compute-storage separation and compute-compute separation.
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For search, real-time analytics and AI apps

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Rockset delivered true real-time indexing and queries that didn’t just match Elasticsearch, but did so at much lower operational effort and cost.

Emmanuel Fuentes,
Head of Machine Learning and Data Platforms

Ways to get started

Get Live Demo

  • Speak with a senior Rockset engineer
  • Discuss best practices for streaming data
  • See a live demo tailored to your requirements
Get a Demo

Try It For Yourself

  • $300 in credits, completely free, no credit card required
  • Access to sample data and hands-on-labs
  • Actively monitored Rockset community for support and feature requests
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