Case Study: Coinbase achieves near real-time blockchain data streaming with Databricks

Boosting blockchain and finance data with streaming ingestion

Coinbase, a 24/7 global fintech and blockchain company, needed a better way to handle massive volumes of mobile, web, and blockchain data across its ecosystem. Its multiple data ingestion processes were creating complexity, operational overhead, and data latency that slowed real-time incident analysis and metrics.

Databricks helped Coinbase implement SOON on the Data Intelligence Platform, unifying streaming ingestion into a single framework with configurable freshness settings and support for high CDC traffic. The result was lower latency, streamlined onboarding, reduced maintenance, and improved performance — with key tables refreshed as fast as every minute or within 15 to 30 minutes for larger datasets — enabling Coinbase to capture business metrics faster and respond more quickly to production and upsell opportunities.

Coinbase

Eric Sun

Senior Engineering Leader