New real-time observability and anomaly detection, along with a new write API for data integration, expands the range of potential applications for StarTree Cloud.

Real-time analytics platform developer StarTree is bolstering its StarTree Cloud system with new observability and anomaly detection capabilities, along with the introduction of a new write API that facilitates real-time data synchronization for ELT data pipelines.

StarTree also said it has contributed vector indexing technology, a key feature of AI applications, for Apache Pinot, the open-source, real-time OLAP database that was originally developed by StarTree’s founders and which the company’s platform is based on.

The new capabilities are designed to address the challenges of integrating real-time data from multiple sources and applications for observability and data analytics tasks.

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“What our customers are asking for is a standard layer that allows [them] to store and query this data [and] build their own applications on top of it,” said StarTree co-founder and CEO Kishore Gopalakrishna, in an interview with CRN.

“As companies cross a certain threshold, they look at this data as more valuable beyond the application they actually started with. So now they want that data to be accessible for multiple applications. And that’s where we come in,” Gopalakrishna said.

StarTree, founded in 2020 and headquartered in San Jose, Calif., is particularly focused on the data storage and query layers of a “data stack” for unlocking data – especially real-time data streams – for external user-facing analytics. Its technology, powered by Apache Pinot, enables faster, more scalable queries for analytical tasks and more efficient, cost-effective storage options for observability, according to the company.

The new capabilities will help StarTree expand its cloud offering into new domains such as fraud detection and observability as well as emerging generative AI applications, Gopalakrishna said.

The company announced the general availability of StarTree ThirdEye, a real-time anomaly detection, metrics monitoring and root cause analysis application built on StarTree Cloud. The software allows organizations to monitor critical business KPIs and metrics, detect anomalies and spot real-time fluctuations in key metrics across product, business and engineering domains.

StarTree also unveiled private previews of StarTree Cloud Observability, which provides query support for metric, log and trace data; and StarTree Cloud Write API for tighter integration with data systems and pipelines that enable data ingestion and updates. The company also launched a “free tier” offering of StarTree Cloud that includes StarTree Data Manager and a developer platform.

StarTree is an active contributor to the Apache Pinot open-source project and the company also announced that it had contributed vector indexing and new visual integrations (with Grafana and Tableau) to the project. Vector indexing is a key feature of AI applications.

The company also works closely with Confluent, developer of a real-time data streaming data platform based on the Kafka open-source platform. StarTree was Confluent’s Integration Partner of the Year in 2023.