Apache Pinot Evolves as StarTree Unleashes Next-Gen Real-Time Analytics and Observability Features: StarTree, the commercial force behind the powerful open-source Apache Pinot platform, has unveiled a suite of major updates during its Real-Time Analytics Summit.
These enhancements aim to revolutionize real-time analytics and data observability for cloud-native enterprises.
Apache Pinot, originally developed at LinkedIn by current StarTree CEO Kishore Gopalakrishna, is designed to deliver ultra-low-latency, high-concurrency analytics at scale. Today, global giants like Stripe, Walmart, and DoorDash depend on Pinot for rapid data insights. StarTree extends Pinot’s capabilities through a managed cloud service tailored for demanding enterprise workloads.
🚀 What’s New: StarTree Product Announcements
At the summit, StarTree introduced several critical upgrades across its product ecosystem:
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Serverless Real-Time Analytics Cloud Service
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Native Integrations with Grafana, Tableau, and other BI tools
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General Availability of ThirdEye, a robust observability solution
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Support for Vector Search, ideal for AI and LLM use cases
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New Cloud Write API for seamless ingestion and faster pipelines
These innovations collectively empower organizations to derive actionable insights from real-time metrics, logs, and traces, unlocking more use cases and deeper operational awareness.
🔍 Observability Meets Intelligence: ThirdEye Launches Publicly
To tackle the growing demand for business-centric observability, StarTree has officially launched ThirdEye. According to Chinmay Soman, Head of Product at StarTree, ThirdEye enables:
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Anomaly Detection in Real-Time
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Root Cause Analysis
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Smart Triaging for Business Metrics
Traditional monitoring tools often fail to track complex, derived business metrics. For instance, platforms like PagerDuty excel at IT system alerts, but struggle to analyze dynamic KPIs like driver supply in ride-sharing apps. ThirdEye fills this gap by building on Pinot’s real-time architecture, enabling businesses to measure what truly matters — not just system health, but operational outcomes.
🧠 AI-Ready with Apache Pinot 1.1 and Vector Search Support
Another major highlight at the summit was the announcement of Apache Pinot 1.1, which introduces support for vector indexes — a foundational technology for generative AI and large language models (LLMs).
The update includes:
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Hierarchical Navigable Small Worlds (HNSW) for advanced vector search
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Multiple Specialized Indexes (text, geo, JSON, numerical)
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Low Latency with High Concurrency — even at enterprise scale
According to Gopalakrishna, “Pinot now provides specialized indexing across various data types with unmatched performance, ensuring even complex AI workloads remain responsive and scalable.”
With tech giants like Google now standardizing vector support across cloud databases, Pinot’s latest upgrade ensures it remains ahead of the innovation curve in AI-driven analytics.
📊 Why This Matters for Enterprises
Today’s enterprises demand more than just dashboards — they need real-time visibility, AI integration, and scalable infrastructure that doesn’t break the bank. StarTree, through its tight integration with Apache Pinot, delivers:
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Enterprise-Grade Observability
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Streamlined BI Tool Compatibility
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Faster Development Cycles for AI and Analytics Projects
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Cost-Efficient Scalability in the Cloud
🌐 Learn More and Get Started
Whether you’re building the next-gen customer experience platform or trying to monitor mission-critical metrics, Apache Pinot and StarTree’s commercial tools offer unmatched power and flexibility.
Visit https://startree.ai or https://pinot.apache.org to explore documentation, start a trial, or request a live demo.
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