Case Study: Darwin Ecosystem achieves faster real-time data discovery with IBM analytics and cloud technologies

Accelerating discovery and insight through cutting-edge big data and cognitive technologies

Darwin Ecosystem, a company that creates data exploration and research tools, needed a scalable architecture for its computationally intensive temporal curation algorithms. The challenge was moving beyond simple search to help experts understand the latest, moment-to-moment evolution of topics within vast streams of unstructured data, a process that was too slow with their existing open source tools.

By building its solution on IBM InfoSphere Streams and the IBM SoftLayer cloud platform, Darwin Ecosystem achieved a tenfold performance increase. The IBM technology enabled the company to process data in seconds instead of minutes, scale its services almost limitlessly, and launch a new web-based API. This resulted in massive productivity gains for its users and allowed Darwin to grow its user-base by several orders of magnitude without a significant cost increase.

Darwin Ecosystem

Thierry Hubert

Founder and CEO