Case Study: Factors.AI achieves 30X faster query response with SingleStore

A SingleStore Case Study

Preview of the Factors.AI Case Study

Factors.AI Accelerates Query Response 30X and Reduces Analytics Effort from Days to Minutes with SingleStore

Factors.AI, a B2B marketing analytics company, needed a way to handle rapidly growing incoming data and support real-time, interactive analytics for marketers. Its existing PostgreSQL setup on Google Cloud struggled to scale and could not deliver the speed needed for fast, data-driven decision-making, so the company turned to SingleStore Helios.

With SingleStore, Factors.AI implemented a single distributed data store for both transactional and analytical workloads, with SQL and JSON support and easy migration from PostgreSQL. The results were dramatic: query response time improved from 2–5 minutes to 20 seconds on 50 million records, delivering about 30X faster performance, while customer analytics workflows that once took days now take hours or about one hour, improving time to value by 30–40X.


View this case study…

Factors.AI

Praveen Das

Co-Founder and Chief Product Officer


SingleStore

64 Case Studies