Powering user-facing applications globally

Meesho built a new real-time analytics platform on StarTree and Apache Pinot for advanced clickstream analysis – moving from pre-aggregated data with Druid/Flink.

Grab’s offers a blueprint for real-time observability with Apache Pinot in complex, multi-service environments. By separating the interface from the infrastructure and focusing on consistency, automation, and explainability, it has built a system that serves everyone from operations teams to data scientists to AI models.

Life360 chose StarTree to support an ambitious upgrade of its service to support real-time location tracking with Apache Pinot. Queries had to be answered in less than 90 milliseconds to meet strict round-trip service level agreements. The architecture also had to uphold rigorous privacy standards and scale efficiently without breaking the bank.

CrowdStrike leverages Apache Pinot’s real-time distributed OLAP datastore to support security analytics handling 25k QPS across 10 clusters.

As Together AI’s  token volumes surged into the billions per hour, they sought an observability platform that could keep up and allow for deep inspection of usage. They chose StarTree Cloud and launched new dashboards in just 30 days that delivered on sub-second query latency, high cardinality slicing and dicing, and near instant visibility into usage.

MiQ’s Audiences engine is powered by a modern data stack designed for speed, scale, and flexibility. MiQ replaced Amazon Athena with StarTree, a real-time analytics engine built on Apache Pinot, to support the platform’s advanced search and indexing capabilities.

Razorpay uses StarTree Cloud to monitor payment success rates across the more than 100 payments methods that are used across India. They also use StarTree ThirdEye for anomaly detection to proactively alert partners when issues arise, and to conduct root case analysis to resolve them quickly.

7SIGNAL — a platform for enterprise Wi-Fi optimization  — replaced it’s Flink-based pre-processing pipeline with query-time aggregation on Apache Pinot to achieve <5 minute data freshness.

DoorDash wanted to identify issues immediately and reduce the time needed to notify partners when they occurred. DoorDash engineers turned to StarTree. This enabled them to infinitely scale anomaly detection pipelines for each of their partners.

Sovrn set a goal to speed up and enhance data reporting. Apache Pinot was a natural fit. Pinot captures and segments extensive batches of data, allowing Sovrn’s customers to drill down to specifics like what dimensions of ads they wish to work with or detailed metrics on visitor behavior.