Observability

Real-time insights on critical data

Leading companies use StarTree – powered by Apache Pinot – for real-time observability on log, metric, and trace data to save on costs and get immediate answers to their critical questions.

With StarTree they are able to store and query high cardinality data swiftly and efficiently. Scale telemetry and time-series data to petabytes while supporting query-time table joins, fast aggregations, and billions of upserts.

A database ideal for observability use-cases with real-time data – at speed and scale.

Apache Pinot is a real-time OLAP database built for ultra-fast analytics on high-volume data. It supports sub-second queries on billions of rows, even with high cardinality and concurrency — ideal for working with telemetry, logs, streaming business data and more.

StarTree Cloud delivers a fully managed Pinot experience with enterprise-grade security, automated scaling, and seamless integrations (Kafka, Flink, BI tools, etc.). It gives your team the power to build real-time dashboards, alerts, and APIs on live data — without compromising performance or reliability.

If you’re tracking fast-moving data and need millisecond-level insights at scale, Pinot + StarTree can help you move faster and operate smarter.

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StarTree Industry Report Query Performance Optimization in Open Table Formats
INDUSTRY REPORT

Query Performance Optimization in Open Table Formats

A layered analysis of query performance across Apache Iceberg, comparable Delta Lake concepts, and query engine innovations.
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