Case Study: Cribl achieves faster data quality monitoring and cost savings with Revefi

Cribl cuts data quality monitoring time by 47.9% with Revefi

Cribl, a data engine for IT and security, faced challenges with limited visibility into its data pipelines and inefficient manual tracking of data health. This reactive approach led to difficulties in identifying anomalies and broken pipelines, increasing operational overhead and risking unreliable reporting. To address this, Cribl sought a robust data observability solution and partnered with Revefi.

By implementing Revefi's data observability platform, Cribl automated its manual processes, gaining real-time insights into data quality, lineage, and anomalies. The results were significant, including a 47.9% reduction in weekly time spent on data quality issues and early cost savings of over $10,000. Revefi enabled immediate improvements in identifying and resolving data issues, leading to more reliable reporting and decision-making.

Cribl