Case Study: Gloat achieves a scalable data platform, 99% faster queries, and enhanced security with Snowflake

Gloat Scales Its Data Platform, Boosts Performance, and Enhances Security With Snowflake

Gloat, a Tel Aviv–based workforce agility platform used by global enterprises, aggregated HR data to help organizations match skills and accelerate internal mobility. As customer volume grew, its MySQL single‑tenant setup caused performance bottlenecks, duplicated code, and inconsistent logic, so Gloat needed a centralized, scalable and secure data platform that could handle larger volumes and support future growth.

Gloat rebuilt its architecture on Snowflake’s Data Cloud to create a single ecosystem for data engineering, analytics and data science—leveraging Snowpark, data sharing, and Terraform‑driven security rules. The migration delivered dramatic gains: >99% faster queries, client database prep cut from four days to five minutes, development cycles shortened by about 30% (roughly a week), and stronger end‑to‑end security with regional replication and failover.

Gloat

Aviv Netel

Data Engineering Team Lead