StarTree AI

Founded by Kishore Gopalakrishna in 2019

Run real-time analytical queries on streaming and lakehouse data with millisecond latency

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use StarTree to run ultra-fast analytical queries directly across live event streams and open table formats like Apache Iceberg and Delta Lake. It indexes your data at the page level so you can scan less storage, reduce cloud compute expenses, and return results in milliseconds. The system maintains high query throughput even when thousands of users or autonomous software agents request data at the same time. You can deploy it in your own cloud account, manage mutable records, and connect live Kafka topics without running batch jobs.

What StarTree AI does

Query real-time event streams from Apache KafkaIndex open lakehouse tables in Apache IcebergFilter high-volume application logs during system outagesServe low-latency analytics inside user dashboardsExecute vector similarity searches for retrieval workflowsHandle primary key updates across high-frequency datasetsDeploy a dedicated database cluster within your own cloud accountIndexes Apache Iceberg and Delta Lake tables at the Parquet page levelIngests live streaming events directly from Apache Kafka without batch pipelinesExecutes sub-second queries across high-concurrency workloads exceeding tens of thousands of requests per secondProvides off-heap upsert capabilities to handle billions of mutable primary keysOffers dedicated deployment options for SaaS, Bring Your Own Cloud, and Bring Your Own KubernetesPerforms vector similarity search directly over lakehouse table formatsIncludes role-based access control and data encryption compliant with SOC 2 standards