USE CASE: OMNI-DATA PLATFORM

Accelerate insights and launch on-demand workloads with the EDB Postgres® AI multi-model data platform.


Data silos limit innovation

Enterprises building next-gen applications must leverage various data models at once — including structured, semi-structured, and unstructured data. This often requires many different purpose-built databases, leading to infrastructure sprawl, high complexity, ballooning costs, and data silos that limit innovation.

Simplify with a single platform

EDB Postgres AI provides an omni-data platform for on-demand business application development by combining a cost-efficient Postgres Lakehouse with open source Postgres multi-model support — seamlessly integrating structured, semi-structured, and unstructured data in a single location.

Enterprise, multi-model Postgres


Leverage open source Postgres extensions to enable all types of data models — SQL, vector, JSON, time-series, key-value, and more — with enterprise-grade security and observability.

Flexible Postgres Lakehouse


The open Postgres Lakehouse architecture provides seamless integration with unstructured data in an object storage environment that’s 18x as cost-efficient as standard Postgres, reducing ETL (extract, transform, and load) pipelines and storage costs.

Columnar Query Engine


A vectorized query engine optimized for columnar formats enables complex analytical queries across aggregate data with no lag on existing workloads — 30x faster than standard Postgres.

Run high-performance queries across structured, semi-structured, and unstructured data for on-demand workloads — all while eliminating vendor lock-in and maintaining secure, observable, cost-efficient systems.

Empowered decision-making


Make faster, more informed decisions with all your organization’s data unified in Postgres. 

Faster time to insights


Get comprehensive insights in real time with fewer ETL pipelines, reduced latency, and 30x faster analytical queries.

Simplified data management


Eliminate vendor lock-in, reduce infrastructure sprawl, and improve operational agility with seamless, secure data management and robust observability across environments. 

EDB Postgres AI enables an omni-data platform

 

omni-data platform architecture

Consolidate structured, semi-structured, and unstructured data into a single data management system. EDB Postgres AI supports diverse data models including relational, time series, document, vector, and key value and accelerates analytics (OLAP) queries with up to 30x performance. Unify data silos, drive system consolidation, and unlock cost efficiency while accelerating innovation by your developers.


 

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Modern IT Challenges Require a Multi-model Data Platform


Omni-data platform FAQs

What is the EDB Postgres AI omni-data platform?>

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.

What challenges does the platform solve for enterprises?>

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.

How does EDB Postgres AI help businesses handle different data models?>

The platform supports a wide variety of data models — SQL, vector, JSON, time-series, key-value, and more — by leveraging open source Postgres extensions. This allows enterprises to handle all data types within a single, secure environment, eliminating the need for multiple databases.

What are the key features of the omni-data platform? >

Key features include:

  • Extensible open source Postgres with enterprise-grade security, observability, and scale.
  • Flexible Postgres Lakehouse architecture for seamless integration with unstructured data in an object storage environment.
  • Columnar Query Engine for complex analytical queries across aggregate data with no lag on existing workloads.
What benefits does the omni-data platform offer to businesses?>

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.
What are the key benefits of the Postgres Lakehouse architecture?>

The Postgres Lakehouse seamlessly integrates operational data in Postgres with unstructured data in a cost-efficient object storage environment that’s 18x more efficient than standard Postgres tables. It reduces the need for complex ETL pipelines, lowering TCO and simplifying data management.

How does the Columnar Query Engine enhance query performance? >

The Columnar 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.

What business outcomes can be achieved with EDB Postgres AI? >

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.

How does the platform reduce TCO? >

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.

What industries benefit the most from the omni-data platform? >

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.