Low-latency APIs over your BigQuery datasets

Companies facing challenges in productizing data stored in BigQuery due to its limitations in handling numerous real-time requests can integrate Tinybird to enhance data availability via APIs. This approach is exemplified by Acme.co, a B2B2C company that seeks to provide its enterprise clients with a real-time transaction dashboard, enabling cost reduction, fraud prevention, and revenue improvement through data segmentation. By leveraging Tinybird, Acme.co can expose BigQuery data in real-time, allowing for fast query times and efficient data consumption via APIs. The integration involves creating data sources in Tinybird, performing bulk uploads and streaming ingestion using Google DataFlow, and applying real-time transformations to optimize API performance. Acme.co publishes API endpoints to facilitate custom client dashboards and uses tools like Tableau for visualization and Vega for data quality testing, enabling a robust real-time analytics solution for their BigQuery datasets.

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