Swiggy chooses Snowflake to power data-driven decisions
Swiggy is using Snowflake as a unified data foundation to support analytics and decision-making across its food delivery, Instamart and Dineout businesses, with the platform helping accelerate some data workloads by up to 96%, Snowflake said.
As Swiggy expanded across multiple businesses, the company faced challenges in extracting insights from fragmented data and supporting peak workloads. It also wanted to provide employees with self-service access to data while reducing reliance on central data teams.
Swiggy has established a central analytical layer on Snowflake using Apache Iceberg. According to Snowflake, the move has improved the company’s slowest data workflows by 90% to 96%. Its heaviest queries have been reduced from about two hours to 15 minutes, while data processing that previously took six hours can now support near real-time decision-making.
The changes are being applied across several functions. Marketing teams can build and launch targeted campaigns within their own tools, while...
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