Star-Tree Index

Intelligent partial aggregations

Achieve 95% faster queries with the Star-Tree Index. Query fresh data in real time with consistent speed, even at massive scale and concurrency.

Intelligent partial aggregations with Star-Tree Index

Fast insights at petabyte scale with Star-Tree Index

Freshest Data

95-99% faster analytics at any scale

Bolt Power

Intelligent storage-speed balance

Fastest Performance Yellow

Real results across industries

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Real-Time Observability of Financial Transactions Using StarTree Cloud

Results

reduction in storage costs
50%
faster queries
4x
spans supported in a single request
100k

Uses Cases

Observability
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overview

What makes the Star-Tree Index unique

Sub-second query responses

Faster queries

Reduce query latency on massive datasets with millions of records by using intelligent pre-aggregation and optimized data access patterns.

Reduce query latency with Star-Tree Index
Smart resource optimization

Scan less data

By minimizing the volume of data scanned and aggregated per query, the Star-Tree Index dramatically decreases disk I/O. This reduction not only lowers query latency but also frees up CPU and memory resources, allowing your infrastructure to handle higher workloads efficiently.

Minimize the volume of data scanned with Star-Tree Index
Adaptable performance tuning

Flexible configuration

Achieve consistent sub-millisecond response times and meet demanding SLAs by balancing storage space and query speed. Tune the space-time tradeoff with configurable thresholds between pre-aggregation and data scans to maintain high QPS for customer-facing applications.

Adaptable performance tuning lets you achieve consistent sub-millisecond response times while meeting SLAs
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“The benefits of migrating to StarTree and Pinot center around three areas: query performance, SLAs, and cost. With Pinot, we are now in the subseconds to milliseconds range, the higher query concurrency means we can serve more customers faster, and we’ve been able to reduce our infrastructure costs.”

Amberdata Joanes Espanol
Joanes Espanol
CTO and Co-Founder

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