Case Study: Cogenta achieves real-time retail market analysis at scale with Elastic

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Preview of the Cogenta Case Study

Cogenta cuts TCO by 40% with Elastic

Cogenta, a provider of retail market data and pricing intelligence, needed to scale its operations to analyze 20 million daily price points and expand into new countries. Their previous system required time-consuming index rebuilds that delayed data availability. They turned to Elastic and implemented Elasticsearch to meet their data volume and real-time processing challenges.

By using Elasticsearch, Cogenta integrated real-time data indexing into its platform, slashing data processing time from five hours to seconds. The solution from Elastic enabled Cogenta to expand its operations from 2 to 20 countries, grow its market reach by 10x, and cut its total cost of ownership by approximately 40% annually by running on inexpensive commodity hardware.


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