Real-time analytics at cloud scale
The real-time analytics database built for the cloud. Sub-second SQL on streaming data with surprising efficiency.Or start a free trial
Simple to start. Efficient to scale.
Serve low latency, high concurrency applications. Rockset’s Converged Index™, stored on RocksDB, gives you faster, more cost-effective data retrieval.
Search, aggregate and join any data at scale with millisecond latency SQL. Query data from CDC and event streams within 1-2 seconds of it being generated.
Kira Furuichi, Manager of Data Science and Analytics, Ritual
The only real-time analytics database to independently scale compute-storage and compute-compute.
Avoid overprovisioning. Scale compute up and down on demand. Run multiple applications on shared, real-time data.
Jane Xu, Software Engineer, Meta
Iterate faster with a fully managed database. No managing servers, clusters, shards and indexes.
Get started in minutes with built-in connectors for Kafka, DynamoDB, S3 and more. Run SQL on deeply nested JSON. Build apps in weeks, not months, regardless of the shape of your data.
Emmanuel Fuentes, Head of Machine Learning and Data Platforms, Whatnot
Harness behavioral data to create customized eCommerce experiences while a user’s session is still active.
Build real-time leaderboards, achieve instant in-game matchmaking, and implement dynamic pricing for in-game purchases.
Analyze thousands of data points in your fleet, the environment, and inventory management systems to take real-time actions.
Join streaming and historical data to identify fraud, sensor, and security anomalies as they happen.
Use real-time sort, filter and search functionalities to analyze sensor data and trigger automations.
Fast KNN search with metadata filters to deliver relevant results, all in real time.
Ingest, transform, store and query in real time
Built in data connectorsSchemaless ingest using native connectors for Kafka, Kinesis, MSK, CDC streams, MongoDB, DynamoDB, S3, Postgres, MySQL, and more. Ingest millions of events per second.
Ingest transforms and rollupsPre-aggregate and transform data at ingest time using SQL. Reduce the cost of storing and querying high-volume streaming data by up to 100x, and eliminate the need for separate real-time data pipelines.
In place updatesEfficiently insert, update, and delete data in place. Avoid the expensive and error prone workarounds inherent in append only databases.
High performance SQL JOINsAvoid denormalization. Run fast, SQL JOINs on nested JSON, Parquet, Avro, and XML data formats. Rockset also supports streaming inner JOINs.
Converged Index™Execute analytical queries on large datasets in milliseconds. All fields, including deeply nested fields, are automatically indexed in a Converged Index™, which includes an inverted index, columnar index and row index.
Compute compute separationIndependently scale compute and storage to avoid overprovisioning. Isolate compute for streaming ingest and queries. Run multiple apps on shared real time data.
Built on open source RocksDBLeverage the same embedded storage engine trusted by Netflix, Linkedin, and Uber. RocksDB uses LSM trees to achieve the high volume write rates essential for ingesting streaming data.
Secure and reliableSupport for PII / PHI masking, role-based access control, SSO, IP allowlisting, MFA, audit logging, AWS PrivateLink, and more. Designed to be fault tolerant with cloud storage as the durability layer.
Ways to get started
Speak with an engineer
- Speak with a senior database engineer with decades of experience
- Receive a 1v1 consultation with best practices for cloud and streaming data architectures
- Get a live demo tailored to your specific technical requirements
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