The EDB Postgres AI omni data platform is a multi-model data solution that seamlessly integrates structured, semi-structured, and unstructured data into a single Postgres environment. It enables high-performance queries for on-demand workloads, providing real-time insights while offering secure, observable, and cost-efficient systems.

No more endless searching for the right database to solve your current or emerging business problems. The EDB Postgres AI omni data platform eliminates the complexity of managing multiple purpose-built databases, which often results in infrastructure sprawl, ballooning costs, and data silos. By unifying various data models, the platform simplifies integration, reduces costs, and accelerates innovation.

The platform supports a wide variety of data models—SQL, vector, JSON, time-series, key-value, and more—by leveraging open source Postgres extensions. It even incorporates unstructured data via seamless integration with cost-efficient object storage. This allows enterprises to handle all data types within a single, secure environment, eliminating the need for multiple databases.

Key features include:

• Extensible open source Postgres with enterprise-grade security, observability, and scale.
• External lakehouse ecosystem integration for seamless incorporation of unstructured data.
• Vectorized Query Engine for complex analytical queries across data in Postgres tables and object storage with no lag on existing workloads.

Key benefits include:

• Empowered decision-making with all your organization’s data unified in Postgres. 
• Faster time to insight with fewer ETL pipelines, reduced latency, and 30x faster analytical queries.
• More control via zero vendor lock-in, tighter security, and reduced TCO with 18x cost-efficient object storage.

Integration with the lakehouse ecosystem seamlessly connects operational data in Postgres with unstructured data in a cost-efficient object storage environment that’s 18x more efficient than solid state drive storage— and it enables querying of data in object storage with familiar SQL. This reduces the need for complex ETL pipelines, lowering TCO and simplifying data management.

The Vectorized Query Engine is optimized for columnar formats well-suited to complex analytical queries across aggregate data. It performs up to 30x faster than standard Postgres, allowing real-time insights without impacting existing workloads.

The platform helps businesses make faster data-driven decisions, reduces time to insights, and improves operational control by eliminating vendor lock-in. These capabilities drive higher customer satisfaction, sustainable growth, and enhanced business resilience.

By consolidating data into a single platform and utilizing cost-efficient object storage, the platform reduces infrastructure sprawl, lowers operational complexity, and eliminates the high costs associated with managing multiple purpose-built databases.

 Any business can benefit from the omni-data platform as they work to meet the modern expectations of on-demand workloads and personalized experiences. However, the benefits are especially powerful for heavily regulated industries such as healthcare, financial services, and telecommunications, where structured, semi-structured, and unstructured data must be synthesized from varied — and often sensitive — customer sources.