Migration of Analytics Workload from Snowflake to BigQuery
Client
The client is a SaaS-based applicant tracking software and
recruiting platform that helps thousands of companies source,
hire, and onboard top talent.
Project Context
The client’s analytics setup used Snowflake and Looker, but faced slow queries, ETL lag, and high storage costs.
Challenges
4B–5B events per week with 70+TB in Snowflake
4–6 hour ETL lag
Need for simplified, cost-efficient data architecture
Solution
Migrated from Snowflake to BigQuery
Integrated Looker dashboards with BQ
Built reliable pipelines with reduced latency
Delivered faster and fresher data insights
Project Objectives
Demonstrate BigQuery’s low-latency capabilities. Simplify pipeline architecture. Improve ETL freshness. Integrate existing Looker dashboards with BigQuery backend.
Solution Delivery
SquareShift migrated the client’s workload to BigQuery, delivering <10s dashboard refresh speeds, higher data freshness, and simplified architecture with better TCO.
Testimonial
Thanks to SquareShift, our analytics stack now runs faster, costs less, and performs better with real-time insights
