Arize has introduced ADB, a proprietary OLAP database designed to support real-time ingestion and high-volume generative AI workloads, while providing fast ad-hoc analytics. Engineered to meet the demands of AI observability and evaluation, ADB enables instant data availability at scale, frequent updates, and seamless data exports. Built from the ground up, ADB has evolved from Apache Druid and now features a unique architecture that separates compute from storage, uses Parquet/Iceberg-backed storage, and supports real-time streaming inserts. This design allows ADB to process billions of spans and traces monthly, offering internet-scale durability, sub-second query responses, and efficient cache management. Emphasizing an anti-monolith approach, ADB utilizes a universal data layer with open file formats, proving that an open architecture with clean separation of storage and compute fits organizational needs better than monolithic solutions. Arize plans to release detailed insights into ADB's architecture and performance in the coming months.