GitLab vs JetBrains
Who this is for
If you're weighing GitLab against JetBrains in Developer Tools, this page is for you. It puts the facts from both Techarda profiles side by side, with each company's recent stories and any community threads that name them both. It doesn't pick a winner: the questions further down come from our evaluation guide, so you can put the same ones to both.
Stories and counts cover the last 90 days, counted on 23 Oct 2026. Profiles last updated 27 Sept 2026. Want a different line-up? The interactive compare tool takes up to four companies.
The facts side by side
From each company's Techarda profile. Categories they share are marked, with each company's position in the category's leader list.
| GitLab | JetBrains | |
|---|---|---|
| Founded | 2014 | 2000 |
| Headquarters | San Francisco, California, USA | Prague, Czech Republic |
| Categories |
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| What they do | GitLab is a DevSecOps platform company whose single application covers source code management, CI/CD, security testing and software delivery, with AI features under GitLab Duo. Available as SaaS or self-managed and built on an open core model, it serves development and platform teams. GitLab Inc. was founded in 2014… | JetBrains is a software company that makes integrated development environments and developer tools, including IntelliJ IDEA, PyCharm, WebStorm, Rider, GoLand and CLion, the TeamCity CI/CD server and the YouTrack issue tracker. It created the Kotlin programming language and offers AI Assistant and the Junie coding… |
| Official site | about.gitlab.com | jetbrains.com |
| Stories, last 90 days | 40 | 56 |
Recent stories from each
What each company has published in the last 90 days, newest first. Each story links to the original source.
How to choose between them
We don't score or rank these two. The questions below come from our Developer Tools evaluation guide, and they work best when you put each one to both companies and compare the answers side by side.
Effect on your own codebase
Results on demo repositories rarely carry over to large, older codebases with internal frameworks.
Ask both: Can we trial the tool with several of our teams on real work, and what measures do you suggest beyond your own usage statistics?
Code and data handling
Source code is intellectual property and may contain secrets or customer data. Where it goes and how long it stays matters.
Ask both: What code and context leaves the developer’s machine, which model providers receive it, how long is it kept, and is any of it used for training?
Security of generated code
Generated code can introduce vulnerabilities, outdated dependencies or licensed snippets as easily as a rushed person can.
Ask both: What checks run on generated code for vulnerabilities and licence matches, and how do the results reach our developers and security team?
Limits on what agents can do
Tools that run commands and edit files act with the developer’s access. Without limits, one bad instruction can reach production credentials.
Ask both: What can the agent run or change without approval, can we restrict commands, files and network access, and is every action logged?
Fit with editors and workflow
Developers use different editors, terminals and review tools. A tool that works well in only one of them splits your teams.
Ask both: Which editors, terminals and code review platforms do you support equally well, and what is missing in each?
Pricing at full adoption
Per-seat prices look modest in a pilot. Usage charges for agents and premium models can grow quickly once everyone has access.
Ask both: What would we pay with every developer active, including premium model and agent usage, and can we set limits by team?
Admin, identity and audit
Security teams need to manage access, enforce settings and answer questions after an incident.
Ask both: Do you support single sign-on and automated provisioning, can we enforce settings centrally, and which audit logs can we export?
Model choice and portability
Model quality changes quickly. A tool locked to one model provider limits you as better or cheaper options appear.
Ask both: Which models can we use, can we bring our own endpoint or self-hosted model, and how do we move settings and history if we switch tools?
The guide also lists red flags to watch for in any Developer Tools vendor, and how to build a shortlist.
Keep going
Each profile has the full detail, and the alternatives pages show who else sits in the same categories.
How this page is put together
Every fact comes from the two Techarda profiles, which our editors check against each company's own site and public records. Rows are left out when neither profile has the detail. Stories are the ones each company published in the last 90 days; review counts include published, moderated reviews only.
Something wrong or out of date? Email engage@techarda.com. Used one of them in production? A short review of GitLab or JetBrains helps the next team decide.