November 27th, 2025
DataGrip Pricing and Licensing: Free & Commercial Plans [2025]
By Zach Perkel · 13 min read
DataGrip pricing recently got a new free tier for non-commercial use. Here’s how to figure out whether you qualify or if you need to pay for a plan in 2025.
DataGrip pricing: At a glance
DataGrip has three main pricing paths, and the cost depends on whether your work counts as commercial. Here’s a quick comparison between the three:
Plan | Individual Price | Organization Price | Best For |
|---|---|---|---|
Non-Commercial | Free | Free | Learning, self-education, OSS work without commercial benefits, content creation, hobby projects |
Commercial | $10.90/month or $109/year | $25.90/user/month or $259/user/year | Paid work, client work, or any project tied to revenue |
All Products Pack | $29.90/month or $299/year | $97.90/user/month or $979/user/year | Users or teams that need multiple JetBrains IDEs |
DataGrip introduced its new free non-commercial tier in October 2025. We’ll talk more about what falls under non-commercial use below.
JetBrains also offers the AI Pro add-on, which unlocks AI features across supported IDEs. It costs $10 a month or $100 a year for individuals, and $20 per user a month or $200 per user a year for organizations. The All Products Pack includes every JetBrains IDE along with the AI Pro add-on, so you already have access to those features without buying them separately.
DataGrip pricing plans breakdown
DataGrip’s pricing separates personal learning from commercial work, and the cost shifts based on whether you need the IDE alone or the full JetBrains suite. Here’s what each plan includes and who it’s for:
DataGrip Non-Commercial plan
Price: Free
What’s included: Full DataGrip IDE, AI Free, data editor, query tools, schema tools, Git support, and all core features.
Best for: Users who don’t earn revenue from their work and want a full SQL IDE without paying.
Pros: No cost, full feature access, and easy signup.
Cons: Can’t be used for paid work or anything tied to revenue.
DataGrip Commercial plan
Price: $10.90/month or $109/year (individual), $25.90/user/month or $259/user/year (organization)
What’s included: Full DataGrip IDE, AI Free, private support channels, and more control over shared environments.
Best for: Anyone who uses DataGrip for paid projects or internal company development.
Pros: Affordable for individuals, discounted renewal rates, and full commercial rights.
Cons: Higher cost for organizations and AI Pro isn’t included.
All Products Pack
Price: $29.90/month or $299/year (individual), $97.90/user/month or $979/user/year (organization)
What’s included: 11 JetBrains IDEs, extensions, profilers, and JetBrains AI Pro at no extra cost.
Best for: Users or teams that rely on multiple JetBrains IDEs.
Pros: Full JetBrains suite, AI Pro included, strong value if you use more than one IDE.
Cons: Big price jump from the previous plan. Not practical if you don’t need all the included tools.
Add-On: JetBrains AI Pro
Price: $10/month or $100/year (individual), $20/user/month or $200/user/year (organization)
What’s included: AI-assisted coding tools, inline explanations, refactoring help, and query guidance inside supported JetBrains IDEs
Best for: Users who want AI help inside the editor for faster debugging, query support, or code edits
Pros: Speeds up problem-solving, works across multiple JetBrains IDEs, and is included in the All Products Pack
Cons: Extra cost if you only use one IDE, and not essential for simple queries or early learning
The All Products Pack includes AI Pro, so you don’t need to buy it separately if you choose that plan.
If you rely on your IDE to explain errors, rewrite code, help with SQL, or guide you through unfamiliar syntax, AI Pro tends to save time.
What qualifies as non-commercial DataGrip use?
Usage qualifies as non-commercial when the work produces no revenue and offers no commercial benefit to you or anyone else. Learning, self-education, open-source contributions without payment, personal content creation, and hobby development are valid non-commercial cases according to JetBrains.
You can practice SQL, explore databases, or contribute to community projects, but any paid client work or employer-driven development requires a commercial license.
I’d recommend a paid plan if your SQL work supports your job, contributes to a product your company sells, or involves any project where you’re compensated for the outcome.
Is DataGrip worth the cost?
DataGrip is worth the cost if you use it for steady SQL work, paid projects, or database-heavy workflows that need more than a basic editor. The free tier helps for learning and hobby use, but the paid plans matter once your work involves revenue, multiple databases, or collaboration within a team.
Here’s how to decide:
It’s worth it if: You write SQL every day, manage several databases, or want dependable tools for schema work, refactoring, and complex queries.
It’s best for: Professionals who need one consistent IDE across Postgres, MySQL, SQL Server, or mixed environments.
Skip it if: You only run simple queries or prefer lightweight editors, since many free tools cover basic needs.
Overall, DataGrip’s paid plans make sense when SQL is part of your job or when you need a stable environment that handles more than the basics. I’d recommend upgrading once your workflow outgrows free tools or casual learning.
DataGrip alternatives and pricing comparison
DataGrip isn’t the only option for working with SQL, schemas, or database workflows. I looked at a few tools that take different approaches to editing, querying, and analysis. Some focus on lightweight performance, while others focus on analytics or team workflows.
Let’s compare the DataGrip alternatives side by side:
Tool | Starting price (Billed annually) | Best for | Key advantage |
|---|---|---|---|
Business users who want quick insights without SQL | Natural-language analysis with charts, insights, and repeatable notebooks | ||
$79/year starting with 3 seats (one-time purchase) | Users who want a fast, simple SQL editor | Simple interface with quick query edits and native support for many databases | |
Users who want a modern open-source SQL GUI | Clean UI with cross-platform support and strong usability out of the box |
Julius: Best for non-technical users who want quick insights without SQL
We designed Julius to help business users explore data without writing SQL. You can connect sources like Postgres, BigQuery, Sheets, or Stripe and ask questions to get charts, summaries, or repeatable notebooks. It keeps analysis simple for teams that want answers they can share or schedule.
Julius starts at $16 per month for the Plus plan. It’s a good match for users who want quick insights or visual reporting without setting up dashboards, though technical users may still prefer a dedicated SQL editor for deep query work.
TablePlus: Best for technical users who want a fast, simple SQL editor
I tested TablePlus when I needed a lightweight SQL editor that focused on speed. It opens quickly, keeps the layout centered on tables and queries, and supports several databases without extra setup. The workflow fits technical users who move between environments and want direct control over their SQL.
TablePlus starts at $79 per year for three seats. It’s a strong option for engineers who want a clean, fast editor, but it doesn’t offer the natural-language queries, team sharing, or automated reporting that help non-technical users explore data.
Beekeeper Studio: Best for technical users who want a modern open-source SQL GUI
I found Beekeeper Studio easy to navigate when I tested it across a few databases. The layout stays clean, and the open-source design keeps it flexible for mixed setups. It handled Postgres, MySQL, SQLite, and SQL Server in my tests without extra configuration.
Beekeeper Studio starts at $9 per user per month for the Pro tier. It’s a solid choice if you want a modern SQL GUI with cross-platform support, but non-technical users or cross-functional teams may still need tools that turn questions into charts or summaries without writing SQL.
Julius vs DataGrip: Which should you choose?
Julius is built for non-technical users who want quick insights, charts, and explanations without writing SQL. DataGrip focuses on technical users who need a full SQL IDE for detailed schema work, refactoring, and complex queries.
Use this quick guide to figure out which one’s best for you:
Julius is better for: Non-technical users who want fast answers from connected data, natural-language querying, and visual reporting. It’s a strong fit for teams that review metrics, share insights, or automate recurring analysis.
DataGrip is better for: Technical users who write SQL daily and want developer-level control across multiple databases. DataGrip pricing makes the most sense when your workflow needs a full IDE with advanced tools rather than a lightweight editor.
Use both if: You rely on DataGrip for deep SQL development but want Julius to handle quick questions, charts, or scheduled reports for your team. This setup lets technical and non-technical users work together without slowing each other down.
Ready to see how Julius can help your team make better decisions? Try Julius for free today.
My bottom line on DataGrip pricing
I like that DataGrip has a free non-commercial tier that is enough for learning or experimenting, but I think DataGrip’s pricing is worth it when you rely on SQL tools that are consistent across different databases.
The IDE delivers enough structure and control that the subscription is justified if you want a dependable environment for technical work. It’s built for technical users and developers who spend real time inside their editor, not for quick pass-through tasks.
If your focus is reviewing data, asking questions in natural language, or sharing insights with a team, I’d recommend using Julius alongside or instead of DataGrip. It gives you fast answers and clear visuals without needing the depth of a full IDE.
Frequently asked questions
Does DataGrip support multiple databases?
Yes, DataGrip supports multiple databases, including Postgres, MySQL, SQL Server, MariaDB, Oracle, and SQLite. The IDE lets you manage connections, schemas, and queries across engines in one place. You can switch between databases without changing tools, which helps keep your workflow consistent.
Do you need a commercial license for DataGrip if you use it at work?
Yes, you need a commercial license if you use DataGrip for paid work or anything tied to your employer’s projects. The free non-commercial tier only applies to learning, open-source work without payment, and hobby development.
Can you connect DataGrip to the same sources Julius supports?
Postgres, MySQL, and SQL Server all work in DataGrip, so you can connect to the same core SQL engines that Julius supports. Julius has connectors for sources like BigQuery, Google Sheets, Stripe, and Google Ads, which DataGrip doesn’t handle natively. DataGrip stays focused on traditional databases, while Julius connects to both databases and business data sources for analysis.