Case Study: Cogenta achieves real-time analysis of 20 million price points and 40% lower TCO with Elastic

How do you provide retailers with the up-to-date competitive pricing visibility they need to make the right decisions

Cogenta is a European provider of retail market data and pricing intelligence that collects about 20 million price points daily to give retailers up-to-date competitive visibility. The company faced scaling and latency problems with a homegrown Lucene/SQL solution that required five-hour index rebuilds and could not easily support planned expansion across many countries.

Cogenta replaced its legacy stack with Elasticsearch (integrated with SQL, MongoDB and RabbitMQ), enabling immediate indexing of incoming data at peak throughputs (~3,000 messages/sec). The move delivered real-time market access for customers, accelerated development and releases, and cut total cost of ownership by roughly 40%—allowing cost-effective expansion from 2 to 20 countries.

Cogenta

Yann Cluchey

Chief Technology Officer