Doing Upsert Efficiently at Scale in StarTree Cloud | RTA Summit 2025
One of the most critical aspects of real-time analytics is the ability to derive timely and accurate insights from data in motion. Real-time upsert ensures the query results are accurate and reflect the latest changes happening to your business. Discover how StarTree has improved this amazing feature to make it more scalable and reliable in our fully-managed StarTree cloud service. For example, with the offheap metadata store, we can support billions of primary keys on one server efficiently; and with minion based metadata preloading, we can bootstrap upsert metadata quickly to make sure cluster and table operations can complete fast. LEARN MORE ► Learn about StarTree and Apache Pinot™: https://docs.startree.ai/ CONNECT Subscribe on YouTube: https://stree.ai/sub Community Slack: https://stree.ai/join-slack Twitter: https://twitter.com/startreedata Linkedin: https://www.linkedin.com/company/startreedata GitHub: https://github.com/startreedata Site: https://startree.ai ABOUT STARTREE StarTree, powered by Apache Pinot™, is the platform for continuous insights at scale. StarTree turns raw data streams—like clickstreams, logs, vector embeddings, and sensor data—into real-time analytics. It powers customer-facing data products, agent-facing data products, and operational intelligence. Apache Pinot™ delivers real-time analytics by design, rather than extension—built from the ground up to ingest massive data streams with millisecond freshness, execute sub-second aggregations, and support tens of thousands of queries per second. Pinot achieves this while radically reducing infrastructure costs by scanning less data and extreme compression. StarTree was founded by the core software engineering team and inventors of Apache Pinot™, which currently powers hundreds of user-facing applications at companies across industries, including Uber, LinkedIn, Stripe, Target, 7Eleven, NuBank, Etsy, Walmart, Together AI, and more. #apachepinot #realtimeanalytics #startree