What is a cloud database?
A modern cloud database is a database that is deployed, delivered, and accessed in the cloud. It enables users to perform all the functions of traditional databases, including data storage, retrieval, modification, deletion, and processing; while supporting multiple data models (JSON, relational, key-value), specialized AI capabilities like vector search and embeddings storage, agent memory, and real-time data processing. Plus, it delivers the flexibility, scalability, and automation of cloud infrastructure needed for agentic AI applications.
By their nature, cloud databases have more automation built in, and they provide a more convenient and cost-effective way for organizations to quickly “spin up” and “wind down” dev and test environments. Modern platforms have freed developers from operational burdens that previously consumed up to 15 hours per week, enabling 37% productivity gains and faster innovation cycles. It’s also faster and easier to evolve database clusters, provide services, expand regions, and move data in the cloud because cloud providers already have the required infrastructure in place. There’s no need for organizations to purchase, set up, or configure their infrastructure in advance.
Today’s developer-first cloud databases excel in four key areas essential for agentic AI: flexibility in data models and access patterns, exceptional performance at scale, real-time data processing capabilities, and built-in support for AI workloads. They support the complete AI data lifecycle, from data sourcing and preparation through operational use, validation, and observability, while running consistently across cloud, edge, mobile, and on-premises environments.
