Case Study: Amberdata achieves sub-second analytics and lower costs with StarTree Cloud

Amberdata Real-Time Analytics for the Entire Cryptoeconomy

Amberdata, a financial services company focused on crypto-economy market intelligence and digital asset data, needed a real-time analytics platform that could handle massive upsert volumes, support growing query demand, and keep latency low while serving front-, middle-, and back-office use cases. The company turned to StarTree Cloud, powered by Apache Pinot, to support its scale and performance requirements.

With StarTree, Amberdata achieved sub-second, even millisecond-scale query latencies, sustained higher query concurrency to meet SLAs, and processed nearly 1 million insert events per second at peak, averaging more than 350,000 per second. StarTree also helped Amberdata reduce infrastructure costs by 66%, while enabling its engineers to spend less time on infrastructure and more time building customer-facing insights.

Amberdata

Joanes Espanol

Co-Founder