Case Study: Unacast achieves near-infinite scalability and zero-ops data processing with Google Cloud Platform

Unacast staying ahead of explosive growth with Google Cloud Platform

Unacast, an Oslo- and New York–based startup that builds the Real World Graph™ from proximity sensors and other location sources, faced rapidly exploding and heterogeneous data as the proximity-sensor industry grew. To stay competitive and keep engineers focused on product and partnerships instead of operations, the company needed a highly scalable, managed cloud platform that could ingest, verify and analyze massive, varied location data streams.

Unacast rebuilt its platform on Google Cloud Platform—using Google App Engine, Pub/Sub, Dataflow, BigQuery and Google Kubernetes Engine—delivering a managed, NoOps architecture that scaled quickly (built in eight weeks) and eliminated the need for dedicated operations staff. BigQuery became the company’s fast primary storage and analytics engine, reducing reliance on additional databases and enabling rapid prototyping, complex queries in minutes and preparation for future machine‑learning initiatives.

Unacast

Andreas Heim

VP of Engineering