Case Study: DNAstack achieves 70% reduction in genomics infrastructure costs with Google Cloud Platform

DNAstack Helping researchers find needles in genomics haystacks

DNAstack is a Toronto-based startup that built a cloud-native platform to help researchers “find needles in genomics haystacks” — identifying disease-causing mutations from extremely large, sensitive datasets (a single genome ≈200 GB and ~6 billion base pairs). The company faced the twin challenges of securely storing and processing petabyte-to-exabyte scale data while meeting strict privacy rules and enabling fast, reproducible analysis for clinical labs, pharma, hospitals, and researchers.

DNAstack solved this by building on Google Cloud Platform — leveraging Google Genomics, Cloud Storage, Compute Engine, and BigQuery — and by creating its Workflows app and The Beacon Network (a high-performance global mutation search engine). The result: scalable, compliant infrastructure that cuts customers’ genomics infrastructure costs by about 70%, enables massive parallel re-analysis and rapid time-to-market, powers the world’s largest mutation search, and lets the startup compete with much larger, well‑funded players.

DNAstack

Marc Fiume

CEO and Co-founder