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

Users want smarter, more analytical SaaS products that boost efficiency and enhance collaboration. The challenge is in building real-time analytical features that can meet the speed and scale demanded of applications.

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.

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How 3 SaaS Companies Built Real-Time Analytics

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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
End-users demand real-time filtering, slicing and dicing in SaaS applications, but many data systems cannot support sub-second analytical queries for thousands of users.
Analyze and act on real-time data at scale
Rockset delivers millisecond-latency SQL queries on TBs of data using its Converged Index. The Converged Index builds an inverted index, columnar index and row index on all data for fast search, aggregations and joins.
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Need to know your queries and define your data structure upfront
Interactive, real-time analytics requires support for a wide range of analytical queries. But, many systems require the access patterns of the application to be defined upfront, making it challenging to run ad-hoc analysis of the data.
Introduce new types of queries without restructuring your data
Users can run ad-hoc analysis on constantly changing data in real-time. Rockset ingests and indexes deeply nested, semi-structured data- JSON, Parquet, XML, etc.- to support a wide range of query patterns out of the box.
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Systems are complex to operate
As SaaS application usage and adoption grows, many complex systems will require deep expertise to manage indexes, shards, clusters and replicas.
Go serverless for low ops
Rockset is a fully-managed solution that frees teams from data ops and infrastructure management. With Rockset, you do not need to do data prep, build or maintain indexes, or manage infrastructure.
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See Rockset in action

Real-time analytics at lightning speed

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.

How it works

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.

How it works

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.”

Ralph Debusmann, IOT Solution Architect at Bosch

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“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

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“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

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Bosch
Command Alkon
Deloitte
eGoGames
Full
Intel
Ritual
Rumble
SeeSaw
Sequoia
ido data
Ubiquity6

Resources

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See Rockset in action

Real-time analytics at lightning speed