The real-time analytics database built for the cloud

Sub-second analytics on change data capture (CDC) and event streams. Build live dashboards and user-facing analytics with surprising efficiency.

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Updates, Inserts & Deletes: Comparing Elasticsearch and RocksetLearn more →

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Performance without compromise

Rockset connects to your CDC or event streams, ingests and indexes changes in real time, and gives you sub-second data APIs for search, aggregations and joins.

67% faster queries

Real-time SQL analytics: search, aggregate and join any data at scale, with sub-second response.

Query performance

vs. ClickHouse →

20-40% less compute

Cloud-native efficiency: scale efficiently with the Converged Index and compute-storage separation in the cloud.

Compute efficiency

vs. Druid →

20x faster development

Iterate faster: build data apps in weeks not months, with SQL search, aggregations and joins even on deeply nested JSON

Development efficiency

vs. Elasticsearch →

User-Facing Analytics

Real-time Personalization
Harness behavioral data to create customized eCommerce experiences. Move from batch to real time for personalized recommendations while the user’s session is still active.
Gaming
Create competition in the game with leaderboards and social features. By indexing your data, you can build more engaging features faster without impacting your primary game database.
Logistics
Monitor fleets, manage inventory in real-time and do predictive maintenance. Analyze thousands of data points in your fleet, the environment and inventory management systems to take real-time actions.
Anomaly Detection
Identify fraud, sensor, and security anomalies as they happen. Join streaming and historical data to generate real-time inferences. Save money and protect your business.
IoT
Analyze sensor data in real-time, detect anomalies and trigger automations. Take the right actions at the right time by using real-time sort, filter and search functionalities on raw sensor data at scale.

Ingest, Transform, Store and Query in Real Time

With RocksetMillisecondsWithout RocksetMinutes or hours

With Rockset

Simple data flow diagram typical of a Rockset setup

Real-Time Data Connectors

Built-in connectors for Kafka, Kinesis, DynamoDB, MongoDB, PostgreSQL, MySQL, Oracle, SQL Server, and more, for high-volume streaming ingest

Ingest transformations

Streaming aggregations (rollups) to reduce storage by 10-100x and custom ingest transformations like field masking and type casting, using SQL

Converged Index™

Rockset indexes every field in a combined row, search and columnar index, which is stored on RocksDB. Compute-efficient search, aggregations, and joins, using SQL

Data APIs

Turn your SQL into Data APIs using Query Lambdas - named, parameterized SQL queries that you can execute via REST endpoint

Architected for efficiency

Rockset is designed for efficient, high-volume streaming ingest. For change data capture streams, use efficient upserts to stay in sync in real time. It avoids expensive merge operations. For time-series data streams, use ingest transformations to roll up data as it arrives, which reduce storage cost by 10-100x and make queries 20-40x more efficient.

All your data is organized in a Converged Index™ stored on open-source RocksDB under the hood. Rockset uses a distributed SQL query engine for fast, compute-efficient data retrieval. This avoids the compute-intensive full-table scans that data warehouses rely on. Avoid over-provisioning by scaling compute and storage independently.