Real-Time A/B Experiments
Deliver delightful products and drive growth with real-time A/B experiments
Experimentation Platforms
Scale the number of experiments run and uncover new insights in real-time so your team can build better user experiences faster. In this talk, Rockset CEO and co-founder Venkat Venkataramani shares the requirements for real-time experimentation platforms from his past experience building and scaling data management systems at Facebook.
Why Rockset
Why A/B Testing Is Hard
How Rockset Makes It Easy
Why A/B Testing Is Hard
How Rockset Makes It Easy
Core Features
Built-In Data Connectors
Set up continuous ingestion from common data sources, like MongoDB, DynamoDB, Kafka and S3, in a plug-and-play manner. New data is reflected in Rockset in seconds.
SQL with JOINs
Join multiple data sets for analysis. Rockset supports full-featured SQL, enabling complex search, aggregation and join queries.
Converged Index™
Rockset automatically builds search, columnar and row indexes on your data to deliver fast queries at scale.
Serverless Autoscaling
Rockset scales storage, ingest and query layers automatically and independently in response to growth and spikes in usage.
How It Works
Rockset serves as a real-time sink that continuously ingests and indexes event data from Kafka or Kinesis. Rockset serves fast ad-hoc SQL queries and powers web interfaces with A/B testing results.

Resources
Rapid Experimentation and Growth Using Real-Time Analytics
This post explains how to build for the requirements of a massive-scale A/B experiments platform.
Read moreRunning Real-time A/B Experiments at Massive Scale
In this talk, Rockset Co-founder and CEO Venkat Venkataramani will cover the changing face of real-time analytics.
Read moreHow We Scaled It: Facebook’s Online Data Infrastructure to 1B+ Users
An inside look into building massively scalable online infrastructure at Facebook.
Read moreConverged Index™: The Secret Sauce Behind Rockset's Fast Queries
Learn how Rockset delivers low-latency SQL for search and analytics using a combination of row, column, and search indexes.
Read moreBuilding Real-Time Data Architectures to Foster Innovation
Lessons on building real-time data architectures based on experiences growing Facebook users 30x.
Read moreBuilding a Real-Time Customer 360 on Kafka, MongoDB and Rockset
A step-by-step guide to building a real-time customer 360 using purchase data from MongoDB and marketing data from Kafka.
Read moreCustomers
Real-Time Analytics At Lightning Speed