Cognitive Match Drives Up Relevance and Conversion Results With Calpont InfiniDB

Query lag. Incomplete queries. Though tasked with matching customers and content in near real-time, rapid growth meant Cognitive Match needed to increase its data processing performance. Its MySQL database was buckling under the need to track hundreds of millions of rows…and its data-intensive queries were taxing its hardware systems to their limits.

This case study chronicles Cognitive Match's challenges with row-oriented database and its subsequent improved results with the columnar database architecture of InfiniDB.

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