Snowflake Introduces Postgres on Its AI Data Cloud in Public Preview

Snowflake has opened public preview of Snowflake Postgres, a fully-managed PostgreSQL database service tightly integrated into its AI Data Cloud platform, aiming to simplify transactional workloads alongside analytics and AI workflows.

Snowflake Postgres lets users create, manage and connect to dedicated Postgres instances directly through the Snowflake environment, using any standard PostgreSQL client. Each instance runs on a virtual machine within Snowflake’s infrastructure, providing traditional transactional database capabilities — such as concurrent read/write operations and low-latency processing — together with Snowflake’s governance, security and operational tooling.

The public preview follows Snowflake’s earlier plans to acquire open-source Postgres specialist Crunchy Data to bring enterprise-ready PostgreSQL to its platform, a move seen as critical to meeting customer demand for secure, compliant operational databases tightly coupled with analytical and AI systems.

By unifying transactional Postgres with Snowflake’s analytics and AI services, developers can run operational applications and analytics without relying on external database systems or complex data pipelines. The integrated setup is expected to accelerate time-to-value for applications that blend transactional data and AI workloads.

Industry observers say this capability enhances Snowflake’s appeal to developers who prefer PostgreSQL’s open ecosystem and tools, while also benefiting enterprises that must meet governance and compliance requirements for mission-critical uses.

Snowflake Postgres’s public preview marks a milestone in the platform’s evolution toward a unified data foundation for both AI and traditional database workloads, potentially attracting new customers seeking an all-in-one cloud data solution.