Streaming Stats,Stickier Sites, Simpler Stacks
Sub-second latency. 10K, 20K, even 80K+ concurrent queries. Finally, a system that keeps up.
When it’s customer-facing, every millisecond matters
Internal dashboards can afford delays. Customer-facing apps cannot. External users expect answers instantly. Slow metrics mean one thing in customer-facing apps – customers don’t stick around.
But scale makes this hard. Supporting tens of thousands of concurrent queries while still delivering sub-second latency is traditionally impossible without brittle workarounds.
The old pattern? Pre-aggregate data, move it into a separate serving layer, and brace yourself for endless pipeline rewrites every time requirements change. The result: complexity, cost, and fragility.
StarTree changes the equation…
Real-time analytics no longer means expensive
For years, “real-time” meant bending a traditional data warehouse or lake into something it was never designed to do — with ballooning compute costs and endless serving-layer complexity.
StarTree flips this equation. When real-time is the core design, compute costs fall dramatically: queries resolve faster, indexes reduce overhead, and concurrency scales without runaway spend.
Storage, too, no longer carries a tradeoff. With Iceberg and S3 integration, data lives cheaply where it belongs — yet insights are still delivered with sub-second SLAs.
The result: faster apps, simpler architectures, and significantly lower TCO.
Performance + simplicity + efficiency for customer-facing insights
Extreme Concurrency
Sub-Second Latency
Fewer Hops, Less Movement
Cost-Efficient by Design
Purpose-built for customer-facing apps
