Case Study: Kellogg Company reduces 24-hour ETL to minutes and achieves 20x faster BI with MemSQL

How Kellogg Reduced 24-Hour ETL to Minutes and Boosted BI Speed by 20x

Kellogg, a global leader in cereals and snacks with over $13 billion in sales, relied on customer logistics data to drive shopping experiences and profitability. Their analytics were constrained by a 24-hour ETL cycle and limited concurrency, preventing intraday decision-making and fast access for business users.

By deploying MemSQL on AWS and scaling their cluster, Kellogg cut ETL times from 24 hours to an average of 43 minutes while adding three years of archived data. They also integrated AWS S3 and Kafka for continuous, exactly-once ingestion of internal and third‑party feeds (including Twitter) and connected Tableau directly to MemSQL, yielding a 20x improvement in analytics performance and supporting hundreds of concurrent users.

Kellogg Company

JR Cahill

Principal Architect for Global Analytics