The Arize Database (ADB) is designed to support both large file and real-time event ingestion for AI data use-cases, emphasizing scalability, data ownership, and interactive feedback. ADB's architecture separates compute from data storage, leveraging Apache Parquet and Arrow for efficient data handling, allowing for elastic scaling and operational flexibility. This separation ensures that operational efficiency is maintained without compromising system resilience, enabling quick data access and minimizing costs associated with data retrieval. The use of Arrow IPC format and gRPC-based Flight technology enhances performance by reducing serialization costs, making ADB well-suited for streaming analytics. ADB also incorporates a distributed write-ahead-log (WAL) to ensure strong data delivery guarantees and effective deduplication of events in real-time data streams. Built to meet specific needs unmet by existing solutions, ADB aims to provide a robust platform for the Arize AX ecosystem, with plans for further exploration of its technical architecture and capabilities.