Case Study: SimilarWeb achieves faster data insights with Upsolver

SimilarWeb Analyzes Hundreds of Terabytes of Data with Amazon Athena and Upsolver

SimilarWeb, a market intelligence company, needed to analyze hundreds of terabytes of complex data streamed in from multiple sources each month. Their existing on-premises Hadoop batch process took hours and created a 24-hour delay, and building a custom ETL approach would have pulled the team away from daily operations. They needed a low-cost, low-maintenance way to run fast SQL queries and prepare data for analytics.

SimilarWeb chose Upsolver to bridge its data lake and analytics users, using Upsolver’s cloud data lake platform with Amazon Athena for querying. The solution helped clean, normalize, and prepare data for analysis while reducing operational overhead, and Upsolver says it cut the time from ingestion to insight from 24 hours to minutes.

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