Couchbase is a data platform that satisfies various storage needs of an enterprise prediction serving system. It provides scalable, available, and manageable solutions for storing raw input data, features, predictions, and model metadata. The platform can handle different performance requirements of real-time prediction machine learning use cases, such as high-volume requests, sub-millisecond prediction latency, and dynamic workloads. Couchbase's memory-first architecture delivers sustained high throughput and consistent sub-millisecond latency, outperforming other NoSQL products. The platform supports cross data center replication (XDCR) technology to deploy geo-distributed applications with high availability in any environment. It also provides flexible security options, role-based authentication, embedded data, administrative auditing tools, and end-to-end encryption of data both over the wire and at rest. Couchbase can be used to store feature metadata, which helps users discover features that are relevant to their models. The platform powers peak performance and real-time results for machine learning predictions, making it a suitable choice for building or buying an enterprise prediction serving system.