Case Study: Alpega Group achieves sub‑10‑second customer‑facing analytics and 90% faster queries with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Alpega Group Case Study

Alpega customer-facing analytics with Google BigQuery on GCP

Alpega Group, a European leader in transportation management SaaS best known for its Transwide TMS, needed to future-proof its customer-facing analytics and enable near real-time KPIs. Its legacy data warehouse was too slow (some queries took over a minute), costly to remodel, and the infrastructure team was already stretched, so the company evaluated cloud platforms to speed time to market.

Alpega built a new data platform on Google Cloud Platform using BigQuery for analytics and Tableau on Compute Engine, with Pub/Sub and Kubernetes for real-time processing and orchestration, implemented with partners Datatonic and EPAM in under six months. The result: query times cut by up to 90%—one year of detailed data now visualizes in under 10 seconds—reduced maintenance through a NoOps model, and freed engineering capacity to develop new real-time services and roll the solution out across other products.


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Alpega Group

Aart Verbeke

Lead Architect, Data Analytics


Google Cloud Platform

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