StarTree showcases real-time analytics capabilities for observability

StarTree showcases real-time analytics capabilities for observability

StarTree delivers on vision for integration of real-time analytics for observability use cases at Current 2024.

StarTree showcased new observability capabilities at Current 2024 in Austin, Texas.

The public technology demonstration highlighted how StarTree Cloud, powered by Apache Pinot, can now be used as a Prometheus-compatible time series database to drive real-time Grafana observability dashboards.

This effort, in turn, highlights the momentum of organizations seeking to unify their back-end data services on StarTree for both business and operational metric use cases.

 StarTree empowers millions of users with up-to-the-minute insights via user-facing applications. It allows businesses and their customers to make critical decisions based on the freshest data, at scale, using real-time data streams.

Currently there is a dynamic occurring in the industry as many vendors seek to lock in customers with all-in-one solutions against a countercurrent of open-source practitioners looking to select best-in-breed components that comply with open standards, such as Open Telemetry (OTEL).

 Kishore Gopalakrishna, Co-founder and CEO, StarTree, said: “With the world of OTEL, users are exploring new architectures with disaggregated observability stacks. They don’t want a single-vendor lock-in. They want the best components at each layer. The best tooling for their agents. The most flexible ways to visualize their data or to manage their alerts. For the data storage layer, StarTree provides superior performance, scalability and affordability for the disaggregated stack. Rather than have redundant, separate data stores built into each observability tool, you can use the same database to manage all of your observability data – all your logs, traces and metrics – as well as your real-time business-oriented data.”

In the live demonstration StarTree showed how open telemetry (OTEL) metrics generated by Datadog Vector agents were ingested into Apache Kafka to be consumed by StarTree Cloud. StarTree Cloud immediately indexed this data to drive real-time observability dashboards in Grafana using the Prometheus query language (PromQL).

 Also at Current 2024 StarTree provided a demonstration of its new Performance Manager (currently in Private Preview).

With Performance Manager, customers can now optimize query performance with a simple guided interface.

When users select “Optimize” in the query console the Performance Manager looks at the query structure and resulting query stats and makes a recommendation – whether it is to add an index or bloom filter on a particular column or add a derived column or materialize certain results in the form of a star-tree Index.

Users can apply the changes directly in the tool and see their performance improve near instantaneously. 

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