From Warehouses to Real-Time: Navigating the New Analytic Database Landscape | Webinar

Real-time analytics isn’t a retrofit anymore—it’s a new category built for high concurrency, sub-second latency, and always-fresh data. In this GigaOm + StarTree session, learn what sets real-time analytic databases apart, how to evaluate platforms, and see real-world use cases like personalization, anomaly detection, and AI/LLM observability. Get clarity, a decision framework, and examples you can apply today with this webinar. Join: https://stree.ai/slack Subscribe: https://stree.ai/sub LEARN MORE ► Learn about Apache Pinot: https://docs.startree.ai/ CONNECT Subscribe on YouTube: https://youtube.com/c/startreedata?sub_confirmation=1 Community Slack: https://stree.ai/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 #engineering #dataengineering