What I like best about PostgreSQL is its stability, reliability, and advanced feature set. It supports complex queries, JSON data types, and powerful indexing options, making it ideal for both analytical and transactional workloads. The open-source nature, strong community support, and compatibility with many tools like Tableau and Django make it highly flexible. Its performance, scalability, and security features make PostgreSQL a dependable choice for enterprise-grade applications. Review collected by and hosted on G2.com.

One thing I dislike about PostgreSQL is that performance tuning and configuration can be complex, especially for beginners. Managing replication, optimizing queries, and handling large-scale data requires deeper technical expertise. Also, compared to some commercial databases, built-in monitoring and GUI tools are limited, so additional tools are often needed. Despite this, its overall reliability and flexibility still make it a top choice for database management. Review collected by and hosted on G2.com.

This is an easy way to work with and integrate multiple platforms. Review collected by and hosted on G2.com.

So far, everything appears to be working perfectly. I haven't noticed any issues yet. Review collected by and hosted on G2.com.

PostgreSQL is always my go-to option when beginning a new project. Being open-source, it allows you to cut costs while still offering impressive power and flexibility. A major advantage is its support for extensions, which lets you customize the database to fit your unique requirements. Additionally, PostgreSQL includes strong built-in security features, making it a reliable solution for projects ranging from small applications to large enterprise systems. Review collected by and hosted on G2.com.

The only aspects I’m not completely satisfied with are the process-per-connection model and the tendency for PostgreSQL to demand significant hardware resources, particularly when operating at scale. Despite these drawbacks, PostgreSQL continues to be one of the most reliable and flexible databases I have ever worked with. Review collected by and hosted on G2.com.

It's super powerful and open-sourced. Its performance is unmatched and competes with solutions that cost thousands of dollars. The number of features is simply amazing. I use this every day to accomplish my work. It was super easy to set up. I'm a developer and use this for clients and my own applications. On my Mac, I use TablePlus to manage my Postgres databases. I have many connections to manage in the app. It works so flawlessly in my applications, it's hard not to rave over it. Review collected by and hosted on G2.com.

There really isn't any negative to using PostgreSQL. I suppose customer support would be the biggest downfall since it's an open-source project. Review collected by and hosted on G2.com.

What I like best about PostgreSQL is that it feels like a complete database out of the box while still being incredibly flexible. It has strong support for standards, which makes queries predictable, and it includes a wide range of useful data types like JSONB, arrays, and ranges without needing third-party add-ons. Its extensibility is a major strength, letting you define your own data types, functions, and operators so the database can adapt to your needs. Reliability is another big factor, with its multi-version concurrency control ensuring safe transactions and reducing locking issues. On top of that, it offers excellent performance without sacrificing correctness, and the active community keeps improving it with new features, extensions, and tooling. PostgreSQL manages to combine enterprise-grade robustness with developer-friendly features. Review collected by and hosted on G2.com.

Nothing to dislike. Some of the ORMS for Typescript are lacking in features but that's not a PostgresQL issue Review collected by and hosted on G2.com.

I like that PostgreSQL is free and open source. We can rely on it for scalability and ease of use, which saves a lot of money on database infrastructure. It's also very customizable, and we can run it on servers with minimal hardware configurations. Its advanced features allow us to have better control of our data sets, manage complex queries, and handle JSON more easily. The fact that we can contribute to its development gives us a sense of involvement and community. Review collected by and hosted on G2.com.

It's a bit slow compared to other specialized databases like MySQL or NoSQL databases for large data sets. Initial setup was a bit difficult because it was not supported for our legacy system hardware. Review collected by and hosted on G2.com.

PostgreSQL strikes a great balance between ease of use and depth of features. The initial setup and implementation are straightforward, and it integrates well with most programming languages, frameworks, and ORMs. I use it frequently because it offers rich features out of the box (CTEs, JSONB, full-text search, indexing options) without needing external add-ons. It’s very stable, reliable, and easy to scale once you get familiar with its ecosystem. Review collected by and hosted on G2.com.

The main challenge is that advanced tuning and optimization require expertise — features like partitioning, replication, or query optimization aren’t always beginner-friendly. Customer support depends heavily on community resources unless you opt for paid enterprise support, which might not suit smaller teams. GUI tools like pgAdmin are functional but not the most user-friendly compared to some commercial alternatives. Review collected by and hosted on G2.com.

This is one of my favorite databases. It allows me to get set up fast and handle any workload. I love using it with Prisma, I love using it with Ruby on Rails and all my projects. I don't think there's even a project that I use without it. Review collected by and hosted on G2.com.

Don’t have any dislikes at this point in time Review collected by and hosted on G2.com.

I use PostgreSQL for every project, from small to large, as it integrates well with my back-end REST and GraphQL APIs. I really like how it allows me to perform advanced SQL queries beyond just the normal ones. The advanced analytical features in PostgreSQL is very useful for my projects. I also love that it allows me to work with JSON objects, simplifying tasks related to both NoSQL-like use cases and SQL databases. Review collected by and hosted on G2.com.

Scaling and operational aspects could be better, as it's doable but could be much more straightforward. Also, much more customization should be there. Review collected by and hosted on G2.com.

Postgres is known for being super stable.

It don’t easily lose data, and it handle crashes very well.

For big, serious applications, this is very helpful. Review collected by and hosted on G2.com.

If your app is super basic (just simple reads), MySQL can be faster.

Postgres focus more on accuracy and complex queries, so sometimes speed feel a bit slower for small things. Review collected by and hosted on G2.com.