6 Data Lake Use Cases You Didn’t Think Were Possible | Iceberg & Delta Lake

Can Apache Iceberg and Delta Lake support customer-facing analytics, observability, log search, vector search, and other workloads with strict performance SLAs—without copying data into another database? In this technical webinar, StarTree explores 6 data lake use cases that have traditionally been pushed into Elasticsearch, time-series stores, serving warehouses, or vector databases. See what changes when these workloads can run directly on open tables while Iceberg or Delta remains the system of record. You’ll learn how page-level Parquet fetching and the Apache Pinot™ index portfolio enable selective reads, reduce remote I/O, and support predictable query performance under concurrency. Topics covered: • Customer-facing analytics at high concurrency • Real-time and historical data in one query path • Interactive analytics across high-cardinality dimensions • Log and event analytics with text and JSON indexing • High-cardinality observability workloads • Vector similarity search for RAG and agent-facing applications This session is designed for data platform leaders, data engineers, and architects running Apache Iceberg or Delta Lake—especially teams maintaining purpose-built databases downstream of the lakehouse. 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