Real-Time Analytics at Cloud Scale
The only real-time analytics solution that enables low latency search, aggregations and joins on massive semi-structured data, without operational burden.
Real-Time Analytics at Lightning Speed
Rockset automatically indexes your data- structured, semi-structured, geo and time series data- for real-time search and analytics at scale. Create personalized user experiences, build real-time decision systems or serve IoT applications, with a real-time indexing database that can power sub-second queries at massive scale.
1 Second
Data Latency
New data is queryable within 1 second of being generated, an end-to-end latency no warehouse can achieve.
125X
Query Performance
Run faster, higher concurrency queries than any interactive SQL engine.
15X
Fewer Ops Hours
Spend fewer operational hours per month as compared to Elastic or Druid.
Analytics at Its Core
Fast search, aggregations and joins. Standard SQL including JOINs on multi-dimensional data. Rockset indexes all fields, including nested fields, in a Converged Index™ which combines an inverted index for search, a columnar index for aggregations and a row index for random reads. Serve complex analytical queries with sub-second latencies for your applications.
React to Events in Real-time
Query real-time data. Rockset indexes data continuously from your OLTP database, stream or data lake using secure built-in connectors that consume change streams. Data is ingested schemalessly and a schema is automatically generated based on the exact fields and types present. Ingest millions of events per second. New data is reflected in queries with p95 of 2 seconds.
Designed for Serving Applications
Serve low latency, high concurrency queries. Aggregate billions of rows in a few milliseconds. Complex search queries on 100 billion records return in 100 milliseconds. Rockset scales horizontally so you can scale out read-intensive applications without impacting your production data source. Scale to thousands of queries per second on any data at massive scale.
Serverless for Low Ops
Built to exploit the elasticity of the cloud. Compute-storage separation for the best price performance. Scale read-intensive applications without the hassle of installing, configuring and tuning a database. Rockset automatically indexes your data, manages shards and clusters so you can focus on building your application.
Real-time Data Serving For Applications
Rockset ingests and indexes data in real-time from OLTP databases, streams or lakes and acts as a speed layer for serving analytical queries to real-time applications.
Real-Time Analytics At Lightning Speed
See Rockset in action
Core Features
Built-In Data Connectors
Click and connect securely to MongoDB, DynamoDB, Kafka, Kinesis, S3, GCS and more. Data is continuously indexed using change streams. As new inserts, updates or deletes happen in your data source, changes are reflected in your queries in seconds.
Distributed SQL
Query semi-structured data using a distributed SQL engine. Full support for search, aggregations, inner and outer joins, with added extensions for working with nested data. Native support for nested JSON, XML, Parquet, Avro and CSV.
Converged Index™
All fields in all documents are automatically indexed in a Converged Index™ backed by RocksDB-Cloud, to enable millisecond latency analytical queries on massive datasets.
Query Lambdas
Save a SQL query as a REST endpoint and turn it into an API with Query Lambdas. Version-control your queries. Access effortlessly from your favorite web or mobile frameworks, GraphQL, or any programming language.
Use Cases
Real-time Personalization
Harness clickstream data to create compelling user experiences. Move from batch to real-time for personalized targeting and generate 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.
Real-time Customer 360
Get a unified view of your customers actions in real-time. Join and aggregate data from multiple channels as-it-happens, for support tooling, product monitoring and marketing automation.
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.
AI
Test, validate and deploy models faster by analyzing live data in real-time. Easily move models to production with a serving layer that can search, aggregate and join data at scale.
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.
Why Rockset
Serving data-intensive applications is hard
Rockset makes it easy
Serving data-intensive applications is hard
Rockset makes it easy
What Our Customers Are Saying
"Rockset fits all the requirements that we have for a new kind of database. It's serverless, real-time, provides a common API like SQL, and is able to ingest event data easily via a Kafka connector. It's also blazingly fast as compared to on-prem databases we have used in the past, making it a great fit for modern data applications."
Ralph Debusmann, IOT Solution Architect at Bosch
Built on RocksDB
Rockset efficiently indexes all fields in all documents in a Converged Index™ built on RocksDB, which is a high performance, embedded, distributed storage engine used by other modern datastores like CockroachDB, Kafka, Flink. RocksDB was created and open-sourced by the Rockset founding team.
Learn more about Rockset
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