What I appreciate most about EDB for PostgreSQL is the combination of enterprise-grade security, robust high-availability features, and exceptional technical support. These enhancements provide the stability and performance needed for mission-critical applications, while the compatibility tools make scaling and managing complex database infrastructures significantly more efficient and reliable than using standard PostgreSQL alone. Review collected by and hosted on G2.com.

The least helpful thing about EDB for PostgreSQL is its proprietary extensions and enterprise-only features that force licensing costs and create vendor lock-in, making it far less appealing than free, fully open-source vanilla PostgreSQL for most users. The downsides include added complexity from custom tooling that often feels unnecessary, slower uptake of upstream community fixes, and limited community support compared to standard Postgres. Review collected by and hosted on G2.com.

I find EDB for PostgreSQL really good for performance monitoring and tuning as well as migration with minimal downtime. The migration feature stands out to me because it uses snapshot and change data capture to keep data synchronized until cutover, which is both precise and useful. Additionally, its migration assessment analyzes the source database and estimates migration complexity effectively. I also appreciate how easy the initial setup was, thanks to the very clear documentation. Great job on that. Review collected by and hosted on G2.com.

I haven't used that much rather than I mentioned but I would say the monitoring dashboard can be improved with better fonts, minimalistic design. Review collected by and hosted on G2.com.

The Hybrid Control Plane and workload consolidation. Having a single pane of glass to observe transactional, analytical, and AI workloads eliminates the need to manage separate, fragmented databases, which drastically cuts down on administrative overhead. Review collected by and hosted on G2.com.

The pricing structure and licensing models are highly complex and clearly skewed toward massive enterprise environments. Review collected by and hosted on G2.com.

I like that EDB Postgres AI Database gives me the flexibility to support both traditional workloads and modern data and AI use cases on a PostgreSQL foundation. I appreciate the high availability, performance, and better support that prompted my team to switch from a traditional SQL setup. Review collected by and hosted on G2.com.

I think the documentation could be clearer and the setup workflows simpler. Review collected by and hosted on G2.com.

I use EDB for PostgreSQL for controlling cloud agility, which is a key aspect for me. One thing I appreciate is its support for both cold and hot data management. It's really beneficial that it enables the seamless migration of Oracle applications to any cloud platform like Azure or GCP. The initial setup was straightforward due to the installer and package being easy to install, with default configurations. These features make EDB for PostgreSQL a solid tool in my experience. Review collected by and hosted on G2.com.

NODE LIMITES Review collected by and hosted on G2.com.

EDB (EnterpriseDB) for PostgreSQL is highly regarded for bridging the gap between open-source flexibility and rigorous enterprise demands. Based on what database administrators, developers, and enterprise architects consistently value most Review collected by and hosted on G2.com.

While EDB (EnterpriseDB) brings incredible value to the table for enterprise workloads, no database solution is perfect. When looking at the real-world friction points that database administrators, developers, and finance teams encounter, Review collected by and hosted on G2.com.

EDB provide a common platform for agentic based architecture instead of handling standard rds & the vector based database for agentic purposes.

Using terraform i can integrate it in my infrastructure as a code Review collected by and hosted on G2.com.

No dislike as such but it's a bit costlier than standard databse. Review collected by and hosted on G2.com.

I like the enterprise-grade capabilities of EDB Postgres AI Database. I find its reliability, security, high availability, and scalability very beneficial for managing enterprise data and supporting AI-driven use cases. The initial setup was a good experience, even if it was time-consuming. Review collected by and hosted on G2.com.

I find the learning curve for EDB Postgres AI Database a bit steep. Understanding it was a little difficult, and I feel that more guidance is needed. Review collected by and hosted on G2.com.

I like the fast response of EDB Postgres AI Database. Performance-wise, it's faster compared to SQL Server. The initial setup was easy, which I appreciate. Review collected by and hosted on G2.com.

I find the authentication a bit too long in my organisation. Review collected by and hosted on G2.com.

Query Profiler & Log Analysis: A specialized UI that visually breaks down slow-running queries and highlights bottlenecks, similar to Oracle’s AWR (Automatic Workload Repository) reports.

Model Manager: A UI dedicated to managing external inference services (like OpenAI or local models), so users can swap models through a GUI instead of changing infrastructure code.

Unified Billing & Activity Logs: A clean administrative dashboard that consolidates cloud infrastructure costs and database charges into a single view.

The UI tools are clearly designed to look and feel familiar to Oracle users. For example, EDB’s Postgres Workload Reports are formatted almost identically to Oracle’s performance reports, which significantly reduces the learning curve for teams moving away from a legacy database.

Onboarding is treated as a "Time to Value" exercise rather than just a software download. It typically follows a structured pat

Case Management: How to use the EDB Support Portal and set up "Named Contacts."

Lasso Tooling: Installation of EDB’s diagnostic tool, which collects system metadata to help support engineers troubleshoot your specific environment faster.

Architecture Design: Defining the HA (High Availability) and DR (Disaster Recovery) strategy.

Security Hardening: Implementing Row-Level Security and Transparent Data Encryption (TDE).

"AI Intelligence" of EDB PostgreSQL . EDB focuses on three pillars: Sovereign AI (keeping data local), Vector Intelligence (native high-speed search), and Agentic Workflows (autonomous database agents). Review collected by and hosted on G2.com.

It isn’t a universal fit for every team. The most common “dislikes” tend to come from the tension between the flexibility of open source and the constraints that can accompany a high-end commercial product.

Vendor lock-in: Although the core is Postgres, many of the “magic” features (Oracle compatibility, EDB Failover Manager, TDE) are proprietary. If you choose to move away from EDB later, your application code could end up closely tied to these EDB-only functions, making a transition more involved.

Fork lag: Because EDB adds substantial enterprise layers on top, there can sometimes be a slight delay in support for the absolute “bleeding edge” community extensions compared with a vanilla PostgreSQL installation. Review collected by and hosted on G2.com.