EDB Postgres AI Database Reviews & Product Details

What I’ve liked about EDB is how familiar the overall experience feels if you already work with PostgreSQL. It doesn’t come across as learning an entirely new system, yet you still get much better visibility into what’s going on with your databases. Being able to monitor performance, catch potential issues early, and manage different instances without constantly switching between multiple tools is genuinely useful. It makes day-to-day database work more convenient, especially when you’re dealing with multiple environments. Overall, it feels practical instead of overly complicated, and that’s probably what I appreciate most about it. Review collected by and hosted on G2.com.

One thing I found slightly challenging with EDB is that it can feel like more than you need for simpler PostgreSQL setups. There are a lot of capabilities to take in, and getting comfortable with the additional tooling can take time, especially if you’re coming from a standard PostgreSQL environment. The overall cost can also be a factor for smaller teams, where many of the enterprise features may not be used on a regular basis. I’d also like to see a more guided experience for some of the advanced AI and analytics capabilities, so users can get started without spending too much time sorting through the different options and configurations. Review collected by and hosted on G2.com.

I like using EDB Postgres AI Database because it's based on PostgreSQL, which makes database management easy and effective. I appreciate its high availability, which ensures minimal downtime during migrations and other tasks, making it a great choice for production applications. The security features like role-based access control and authentication are crucial for protecting sensitive data in big projects. I also value its scalability as it can efficiently handle increased data loads. The initial setup was straightforward, which added to my positive experience. Review collected by and hosted on G2.com.

I only felt one at the start when I started using as there are multiple advanced features and administrative tools, so it became a bit challenging to learn them all. Review collected by and hosted on G2.com.

I like that EDB Postgres AI Database is stable and easy to work with. Once it's set up, it runs reliably without needing constant attention. Since it's based on PostgreSQL, it's familiar and works well with many tools, so getting started isn't difficult. The performance has been good for our day-to-day work, and features like backup, security, and replication give us confidence that our data is safe. Overall, it's a dependable database that just gets the job done without creating extra headaches. Review collected by and hosted on G2.com.

One thing that could be better is the user interface. Some settings and administrative tasks take a bit of time to find, especially if you're new to the platform. The documentation is helpful, but for a few advanced features I had to spend extra time figuring things out. It would also be nice if monitoring and performance insights were easier to access without switching between different tools. Other than that, it has been a reliable database to work with. Review collected by and hosted on G2.com.

I really like EDB Postgres AI Database's ability to combine database, analytics, and AI capabilities into a single PostgreSQL-based platform. This integration helps in reducing complexity and eliminating data silos, which is a big plus for me. I appreciate how it allows me to use the same platform to manage operational data, run analytics and reporting, and support AI/GenAI use cases, which significantly minimizes data silos. The platform's flexibility over MySQL is another aspect I value, along with the straightforward and easy initial setup, particularly for teams already familiar with PostgreSQL. Review collected by and hosted on G2.com.

One improvement I'd like to see in EDB Postgres AI is a simple onboarding experience for advanced AI and analytics features, as the platform's broad capabilities can create a learning curve for new users. Additionally, some organizations may find the deployment and management of hybrid environments complex, especially when compared to fully managed cloud-native solutions. Review collected by and hosted on G2.com.

I like that EDB Postgres AI Database combines traditional database functions with AI capabilities into a single platform. I can store relational databases, JSON documents, and vector embeddings all in one database, simplifying architecture and reducing the need to manage multiple databases, which results in less operational overhead and lower costs. I appreciate the enterprise features like high security, application center, and Oracle capability, making it suitable for mission-critical applications while being ready for modern AI use cases, such as semantic search and retrieval. The biggest advantage for me is having one platform for both traditional and AI workloads, which reduces complexity and provides enterprise-grade scalability. The platform also enables AI features like semantic search and recommendation engines, making development processes simpler. Review collected by and hosted on G2.com.

I find the AI features, such as the search and write functions, a bit challenging to learn, especially if the team is new to AI concepts. Better AI built-in tutorials and examples would help developers get started more quickly. Configuring and performing tests for vector indexes and optimizing similarity search for large datasets can also be a bit tricky and require careful handling. Review collected by and hosted on G2.com.

I find EDB Postgres AI Database easy to work with if you're familiar with PostgreSQL. I appreciate the consistent performance and straightforward setup. Customer support has been responsive whenever we've had questions. I love this product for its high reliability and compatibility with PostgreSQL. The initial setup was effortless, just a few steps, and you're good to go. Review collected by and hosted on G2.com.

Documentation for certain features could be more detailed. While most topics are covered, some advanced features would benefit from step-by-step implementation guides, real-world use cases, and architecture diagrams. I also think adding more troubleshooting examples for common issues, migration scenarios, performance tuning, and high availability setups would make it easier for new users and reduce the time spent searching for solutions. Review collected by and hosted on G2.com.

I like the multi-model data feature of EDB Postgres AI Database because it supports multiple data types in one platform, like relational data and time series data, which is very handy. The AI knowledge processing is another aspect I appreciate. The initial setup was very easy, with everything properly managed and organized in the documentation. Implementing solutions, from building to deployment, was smooth. Everything needed for configuration was asked all at once, like setting up pipelines and AI chatbots. Review collected by and hosted on G2.com.

Setting up RAG pipelines embedding generation still require database and AI expertise it should be for example drag and drop ai pipeline builder Review collected by and hosted on G2.com.

It’s a solid enterprise PostgreSQL solution with strong stability, security, and integration support for business applications. From my practical knowledge and experience, it runs reliably once it’s configured properly, but the initial setup, tuning, and upgrades can sometimes be complex—especially for smaller teams. Overall, it’s a good choice for organisations already invested in PostgreSQL and enterprise database management.

AI/Intelligence capabilities are limited compared to some newer cloud-native database platforms. Pricing may feel also higher for smaller teams Review collected by and hosted on G2.com.

One area that could be improved in EDB Postgres is the overall setup and administration experience.

Initial configuration, migration and performance tuning can be complicated for teams without strong PostgreSQL expertise, which increases setup time and intuitive compared to newer cloud native database platforms. Review collected by and hosted on G2.com.

I find EDB for PostgreSQL easy to handle for processes, programs, and data. When it's working, it really simplifies things. I appreciate that it supports faster and secure data transmission, protecting data from theft. This makes it a solid choice for server-based applications and dedicated business software. I also recognize the core strengths in procedural capabilities like loops, conditional logic, and block structures. Review collected by and hosted on G2.com.

The initial setup of EDB for PostgreSQL was not easy for me, as the installer failed to complete if the target data directory contained any files, including system-generated folders like lost+found. These had to be cleared, or a new location specified, before the setup could proceed. Review collected by and hosted on G2.com.

I like that EDB for PostgreSQL gives you the best of both worlds. You get the power and flexibility of PostgreSQL, along with extra enterprise features like better security, high availability, performance tools, and Oracle compatibility. It's a practical choice for businesses that want an open-source database without compromising on reliability or support. Review collected by and hosted on G2.com.

If I had to point out a downside, I'd say the biggest one is the learning curve for some of the enterprise features. It can also be more expensive than using community PostgreSQL, which may not make sense for every project. Other than that, it's a solid platform with very few drawbacks. Review collected by and hosted on G2.com.