Case Study: How Factors.AI made campaign execution 32x faster with SingleStore
Key results
The challenge
Factors.AI ran on a single-instance PostgreSQL database that could not scale to its incoming data volume or support real-time analytical queries. The resulting slow performance affected customer support and limited the product.
The solution
Factors.AI adopted SingleStore Helios as a unified engine for transactional, analytical, vector, and JSON workloads at the heart of its automated marketing analytics solution.
“We have a lot of incoming data, and all of it is now available in real time for analysis. We went from taking 2-5 minutes to run a query on 50 million records to 20 seconds. That's on average a 30X faster query response.”
PDPraveen DasCo-Founder, Factors.AI
The results, in context
Factors.AI reports queries on 50 million records dropping from 2-5 minutes to 20 seconds, a 30x improvement, and end-to-end campaign execution completing in about one hour, roughly 32x faster than before. It cites 10-100x the performance at one-third the cost of legacy databases and 30-40x faster time to value for its own customers.