G2

Shivam G.

Software Developer

Information Technology and Services

Mid-Market (51-1000 emp.)

6/10/2026

"DataGrip’s Next-Level SQL Intelligence in One Powerful Multi-DB Client"

4.5/5

What do you like best about DataGrip?

The SQL intelligence in DataGrip is genuinely on another level compared to most database clients. The autocomplete understands your schema deeply, resolves table aliases across joins, catches syntax errors before you even run the query and suggests fixes in real time. For someone writing complex SQL day in and day out that alone makes a noticeable difference. The Git integration is also something I rely on heavily, version controlling SQL scripts and collaborating on query changes feels natural inside the tool. And being able to connect to MySQL, PostgreSQL, Oracle, MongoDB, Redis and more from one single interface without juggling separate clients is something I did not fully appreciate until I had it. Review collected by and hosted on G2.com.

What do you dislike about DataGrip?

The pricing is the first thing that comes to mind. At around $109 per year for individuals and $259 per user per year for organizations it is hard to justify unless you are using it every single day for serious work. The tool is also quite heavy on memory, JetBrains products in general demand a solid machine and DataGrip is no exception. The initial schema introspection when you connect to a large database can feel painfully slow and that is frustrating when you just want to run a quick query. There is also no built in data visualization which means you are always exporting data elsewhere if you want to chart or analyze results visually. Review collected by and hosted on G2.com.

What problems is DataGrip solving and how is that benefiting you?

Before DataGrip I was managing different tools for different databases and spending more time navigating tooling than actually working with data. The moment I had everything under one roof the context switching dropped significantly. The intelligent code completion also addressed a very real problem I had with writing error prone SQL on large schemas where remembering every table and column name was unrealistic. I would say my time spent debugging query syntax issues dropped by at least half after switching. The Git integration solved another pain point where SQL scripts were living in random files with no version history, now everything is tracked properly. Review collected by and hosted on G2.com.