Case Study: Mnemonic reduces BigQuery compute costs by 20% with Masthead Data

Mnemonic cuts BigQuery costs by 20% in 24 hours with Masthead Data

Mnemonic, a software development company, faced a significant challenge in monitoring and controlling its Google BigQuery compute costs. While processing massive amounts of blockchain data for its customers, any bugs or unexpected spikes in query consumption could severely impact its fees. Masthead Data was brought in to provide an observability solution to track these costs and gain control over its data pipeline pricing.

The solution from Masthead Data provided cost tracking and data lineage, which pinpointed inefficient pipelines and irrelevant queries within 24 hours of onboarding. This allowed Mnemonic to swiftly eliminate unnecessary processes. As a result, Masthead Data helped the company slash its Google BigQuery cloud compute costs by 20% and achieve comprehensive observability without adding to its expenses.

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