Case Study: BigID achieves 120x faster queries and eliminates timeouts for scalable security with Elastic

BigID tames massive data growth with Elastic for scalable security through Elastic Cloud, on AWS

BigID, a leader in data security, privacy, compliance, and AI data management, helps organizations discover and manage vast, distributed data across cloud, SaaS, and on-prem environments. As data volumes and hybrid architectures grew, BigID struggled with slow, brittle search workflows—frequent schema migrations, index churn, and ad-hoc queries led to poor performance and timeouts that hindered customer experience and product innovation.

BigID migrated key data modules to Elasticsearch on Elastic Cloud (AWS), enabling real‑time indexed search, flexible pipelines, and user-configurable scans. The move delivered dramatic improvements: queries became 120x faster (from ~20 minutes to seconds), count and aggregation timeouts were eliminated, and the platform now scales for complex filtering and growth—improving UX, reducing costs, and accelerating feature development.

BigID

Tomer Negbi

Director of Engineering