Case Study: GitLab achieves faster, more powerful analytics with Sisense for Cloud Data Teams

GitLab - Customer Case Study

GitLab, the single-application DevOps platform used by thousands of organizations, faced scaling limits with its managed Postgres and a BI stack that made reporting slow and laborious. The data team needed a scalable warehouse and a self-serve analytics tool that let analysts write SQL (and use Python/R) to deliver fast, iterative insights across growing event and application data.

By migrating to Snowflake and adopting Sisense for Cloud Data Teams, GitLab created a high-performance, columnar data warehouse and a flexible analytics layer that accelerated time-to-value, enabled complex cross-source analysis (Zuora, Salesforce, Zendesk and application data), and unlocked richer use cases—improved retention and feature-value analysis—multiplying the impact of the data org and keeping pace with GitLab’s rapid product roadmap.

GitLab

Taylor Murphy

Staff Data Engineer