Case Study: YipitData achieves 90% faster data processing and lower costs with Databricks

YipitData transforms financial market information overload into insight

YipitData, a data-driven research company that helps investors turn alternative data and web data into market insights, was facing the challenge of processing growing volumes of information quickly and cost-effectively. By using Databricks, YipitData needed a scalable platform to speed up analytics, support more complex queries, and improve collaboration across its data team.

Databricks helped YipitData cut data processing time by up to 90%, with some large queries dropping from about 6 hours to roughly 7 seconds. The company also reduced database and operations expenses by almost 60% and cut its annual AWS bill by 50%, or about $2.5 million, while increasing the scale of analyses and customer reporting by 4–5x.

YipitData

Steve Pulec

Chief Technology Officer