Case Study: Ginkgo Bioworks scales biology with near real-time data using Snowflake

By replicating experiment data into Snowflake, Ginkgo’s scientists spot issues and correct course within minutes, speed analyses without tying up costly equipment, and deliver greater value to customers

Ginkgo Bioworks, a company developing microorganisms to benefit humanity, faced delays in accessing and analyzing experiment data because scientists had to work directly from expensive analytical chemistry instruments. This slowed collaboration, sometimes left teams waiting a week for results, and made it difficult to manage the company’s high-volume, highly diverse biological data. Ginkgo Bioworks turned to Snowflake to help solve these challenges.

By replicating experiment data into Snowflake, Ginkgo Bioworks enabled scientists to spot issues and correct course within minutes instead of days, speed up analyses without tying up costly equipment, and improve collaboration across biology teams. The impact was significant: experiment issues could be identified in about 5 minutes, and more than 1,000 Ginkgo employees gained near-instant access to data.

Ginkgo Bioworks

Aleksey Yeremenko

Director of Data Platform and Engineering