Case Study: Starburst achieves 98.3% noise reduction with Endor Labs

Starburst Gets 98.3% Noise Reduction with Endor Labs

Starburst, an open data lakehouse provider, faced challenges with its previous software composition analysis (SCA) tool, Rezillion. The tool generated too many false positives without providing rationales, failed to adequately identify risks in transitive dependencies, and only offered post-deployment scanning, making it difficult to address customer security concerns effectively.

By implementing Endor Labs for SCA, Starburst gained function-level reachability analysis for both direct and transitive dependencies. This solution provided the accurate, justifiable results the team needed, integrated easily into their development workflows, and enabled pre-deployment scanning. As a result, Endor Labs delivered a 98.3% reduction in noise from false positives, allowing Starburst to confidently prioritize real risks and respond faster to customer queries.

Starburst

Alex Olea

DevSecOps Engineer