ENTERPRISEDB POSTGRES AI

The essence of EnterpriseDB

EnterpriseDB (EDB) is a company that offers enterprise-level database solutions centered around PostgreSQL. EDB Postgres AI combines the flexibility of open source PostgreSQL with enterprise features, high availability, security, and performance optimization. The platform helps with database operation, development, and modernization with built-in AI and automation capabilities. It supports hybrid and multicloud environments as well as Oracle compatibility, making it an ideal choice for complex, mission-critical business systems. EDB's goal is to make enterprise data management simpler, faster, and more cost-effective by building on PostgreSQL.

EDB for large enterprises Postgres

The EnterpriseDB (EDB) and its products are closely based on the community PostgreSQL and can be interpreted as an extension and enterprise reinforcement of it – they do not offer a separate database, but rather a PostgreSQL ecosystem elevated to the enterprise level.

EnterpriseDB is the corporate extension and supporter of the PostgreSQL community. EDB products combine the openness and freedom of PostgreSQL with the stability, support, and advanced functionality that large enterprise environments require.

EnterpriseDB Portfolio Components

The EnterpriseDB (EDB) portfolio is built around PostgreSQL and consists of components that together cover the entire lifecycle of enterprise database use—from development to operation to modernization.

EDB Postgres Advanced Server

The enterprise extension of PostgreSQL, offering extra performance, security, and manageability features. Its Oracle-compatible capabilities make it easy to migrate existing Oracle applications to PostgreSQL.

EDB Postgres Distributed (PGD)

A distributed, multi-node PostgreSQL solution that provides high availability, global scalability, and low-latency data management. Designed specifically for critical, high-load enterprise systems.

EDB Postgres AI

EDB's modern data platform, which complements the database with AI-based automation, optimization, and observability. Its goal is to simplify database operations, improve performance, and support AI-driven applications.

EDB Migration Toolkit

Toolkit for migrating databases—especially Oracle—to PostgreSQL. Automate the conversion of schemas, data, and code, reducing migration risk and time.

EDB Management and Monitoring Tools

This includes EDB Postgres Enterprise Manager and other monitoring, management, and automation tools. These help with performance monitoring, error handling, capacity planning, and automation of operational tasks.

Corporate support and services

EDB provides not only software, but also enterprise-level support, consulting, and training. This ensures the stability and long-term operation of critical systems.

Skills, advantages

PostgreSQL-based, unified data platform
EDB Postgres AI is built entirely on community PostgreSQL, maintaining its compatibility while providing enterprise-level enhancements. It manages transactional (OLTP), analytical (OLAP), and AI workloads on a single platform, reducing the need for data silos and complex integrations. Managing a Kubernetes environment can be complicated and cumbersome for those without solid hands-on experience in deployment and usage, and it becomes even more complex when the number of application instances is significant. Kubernetes operators can simplify the management of stateful applications that use other components such as databases, caches, and monitoring environments to function. They create certified application packages using standard Kubernetes tools in line with best practices, while automating tasks such as updating, backing up, and scaling. Red Hat OpenShift supports the use of Kubernetes Operators, using them as a model for scaling applications while reducing operational tasks and ensuring operational consistency.
Oracle compatibility and seamless modernization
EDB solutions—especially EDB Postgres Advanced Server, which forms the basis of EDB Postgres AI—provide a high level of Oracle compatibility. This includes Oracle-like SQL syntax, PL/SQL compatibility, packages, triggers, and built-in functions, allowing existing Oracle-based applications to be migrated to PostgreSQL with minimal modification. Oracle compatibility significantly reduces migration time, cost, and risk while allowing you to take advantage of open source benefits. This is an ideal solution for organizations that want to break away from proprietary database licenses but cannot afford to completely rewrite their applications.
Advanced replication and high availability
EDB Postgres AI offers comprehensive replication capabilities that go beyond basic PostgreSQL functionality. It supports synchronous and asynchronous replication, multi-master and geo-distributed architectures, and automatic failover and recovery. These capabilities enable the creation of highly available, low-latency, and globally scalable database environments.
Global scaling and business-critical operations
Replication based on Postgres Distributed (PGD) technology is particularly suitable for systems covering multiple data centers or regions. It ensures that applications always access the data instance closest to the user, while maintaining data consistency and integrity. As a result, EDB Postgres AI is an ideal platform for financial, telecommunications, government, and other critical systems.
Hybrid and multicloud operation
The platform can be used uniformly in on-premise, private, and public clouds. This ensures data and AI sovereignty while enabling flexible scaling and free movement between environments.
Unified management and observability
It provides centralised supervision and monitoring capabilities that make it easy to manage multiple databases and environments. Transparent operation facilitates operation and rapid error detection. Red Hat OpenShift is fully capable of meeting the needs of IT organizations and application developers. Customers can choose from a wide range of Kubernetes-based solutions, from platforms built on their own from community projects to managed services built on public clouds or their own infrastructure. As one of the market's leading solutions, Red Hat OpenShift offers a complete solution for customers who do not want to build and maintain their own custom platform based on the upstream project, acquire the necessary in-depth expertise, but need a secure, supported Kubernetes platform for their day-to-day business operations.
Built-in AI and generative AI support
The platform natively supports the development of AI-based applications, including the use of generative AI and vector search. This allows AI functions to operate directly near the database, providing faster response times and simpler architecture.
AI-driven automation and optimization
EDB Postgres AI uses artificial intelligence to support database operations such as performance optimization, fault prevention, and capacity planning. This reduces operational burdens and increases system stability.
Continuous availability and scalability
EDB Postgres AI supports high availability, distributed architectures, and global scaling. This makes it suitable for running business-critical systems where performance and reliability are key. With Red Hat OpenShift Serverless, applications can easily use only the resources they actually need, as resources are automatically scaled up or down based on current load and demand. This approach removes the burden of deploying and configuring servers from developers, allowing them to focus on application development instead. OpenShift Serverless helps developers deploy and run serverless applications that can scale up and down flexibly, with zero load and resource usage. With Red Hat OpenShift Pipeline, developers can take complete control of their application deployment processes, plug-ins, and access management without the need for a central CI/CD server. OpenShift Pipeline runs each step of the CI/CD pipeline in its own container, enabling each step to be scaled independently to meet pipeline requirements. It provides a streamlined, task-oriented user experience through the OpenShift console developer view, command line interface (CLI), and integrated development environment (IDE).

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