Real-Time Analytics for SaaS
The real-time indexing database for implementing interactive, sub-second latency queries in your SaaS application.
Work Smarter with Real-Time Analytics
Rockset is optimized for real-time analytics. Our unique approach to indexing delivers millisecond-latency SQL queries on TBs of semi-structured data that is a second old. We make it simple for developers to build with data- they never have to prep data, build indexes, or manage infrastructure.
A logistics company that provides real-time visibility into construction shipments across the supply chain.
A fintech company that uses advanced machine learning to evaluate the sustainability of investments.
Real-time Analytics Use Cases
Logistics Monitoring
Give users the ability to monitor fleets, manage inventory in real-time and do predictive maintenance. Let them analyze thousands of data points in their fleet, the environment and inventory management systems to take real-time actions.
Security Analytics
Help teams understand, respond to threats in real-time and automatically prevent and detect vulnerabilities. Let users investigate any data using real-time sort, filter and search functionalities.
Real-time Customer 360
Deliver a unified view of your customer’s actions in real-time. Join and aggregate data from multiple channels as-it-happens, for enhanced support tooling, product monitoring and marketing automation.
Why Real-Time Analytics in SaaS is Hard, and How Rockset Makes it Easy
Why Real-Time Analytics in SaaS is Hard
How Rockset Makes it Easy
Can’t get fast queries on TBs of data
Analyze and act on real-time data at scale
Need to know your queries and define your data structure upfront
Introduce new types of queries without restructuring your data
Systems are complex to operate
Go serverless for low ops
Real-Time Data Stack for SaaS Applications
Rockset builds indexes on any data- semi-structured, structured, geo or time series data- to serve fast search, aggregations and joins in SaaS applications. Whereas OLTP databases were built for transactions, Rockset was built for real-time analytics in applications.
Real-Time Data Stack for SaaS Applications
Rockset builds indexes on any data- semi-structured, structured, geo or time series data- to serve fast search, aggregations and joins in SaaS applications. Whereas OLTP databases were built for transactions, Rockset was built for real-time analytics in applications.
What Our Customers Are Saying
“Using data to create custom, relevant site experiences has been made simple with Rockset. My engineering team is wowed by the query speed and the ease with which they can consume data APIs created on Rockset.”
Kira Furuichi, Manager of Data Science and Analytics at Ritual
“As a mobile esports platform, we need to have insight into what’s going on with a host of metrics in real time. Rockset is perfect for analyzing real-time events in DynamoDB without having to spend a lot of time coding or managing systems.”
David Cerna, CDO at eGoGames
"Since DynamoDB and Rockset are both serverless, our lean engineering team can focus on delivering life-saving innovations in the product rather than managing data infrastructure, because we trust DynamoDB and Rockset to give us the reliability and scale we need."
Yannick Tocquet, CEO of Ido-Data
