December 8th, 2025
What Are the Best DataGrip Alternatives With AI? Top 6 Tools
By Drew Hahn · 20 min read
After testing what the best AI DataGrip alternatives can do, I found 6 tools that delivered faster queries and clearer insights. Each one solves a different part of everyday database work, so you can pick the tool that fits how you analyze data in 2025.
What are the best DataGrip alternatives with AI? 6 best options at a glance
Some AI SQL tools focus on natural-language prompts, while others add support for quick metrics, simple visuals, or Postgres-specific tasks. I compared pricing, ideal use cases, and what each tool offers so you can see which one matches your workflow. Here are the best AI DataGrip alternatives side-by-side:
Alternative | Best for | Starting Price (Billed Annually) | Key Advantage vs DataGrip |
|---|---|---|---|
natural language analysis for business teams | Natural-language analysis with charts, summaries, and notebook workflows | ||
Visual database browsing with AI query help | Open source AI queries with support for many databases | ||
Quick SQL creation from prompts | Simple natural language SQL output without any setup | ||
Cross-platform SQL editing with AI suggestions | Open source client with an AI assistant for SQL and a clean UI | ||
Postgres workflows that need NL filtering | AI-powered filtering and query creation for Postgres workflows | ||
Multi-database work with AI chat assistance | AI “Database Chat” that understands schemas and supports SQL, NoSQL, and file-based sources |
Why I looked for DataGrip alternatives with AI
When I was using DataGrip, I kept seeing the same bottleneck repeat itself. DataGrip handled core editing well, but the workflow depended on manual SQL and constant context switching. I think it works best when you already know the query you want to run, which isn’t ideal when you need to explore or move through questions fast.
DataGrip does offer AI features through the JetBrains AI Assistant, but the add-on focuses on SQL guidance instead of natural-language analysis or automated insights. If you want AI that helps explore data, create visuals, or speed up early questions, you’ll need a tool built for that kind of workflow.
From my testing and my research, three things usually push people to look for DataGrip alternatives:
Heavy SQL dependence: DataGrip makes every action query-first, which slows non-SQL users and limits quick exploration.
Limited AI support: You only get AI if you pay for the JetBrains AI Pro add-on or the highest DataGrip pricing tier, and the features focus on query guidance instead of deeper analysis or visual output.
Slow setup for insights: DataGrip is strong as an editor, but it takes extra steps to turn raw tables into reports or summaries.
1. Julius: Best for natural language analysis for business teams
We designed Julius to make everyday analysis easier for business teams that don’t want to write SQL. You can ask direct questions about your connected data and get charts or summaries fast. That removes the extra steps that slow down early exploration in tools like DataGrip.
Julius includes connectors for BigQuery, Sheets, and Postgres, which makes it easy to bring data in without extra setup. Once your data is connected, Julius keeps track of how your tables relate, so follow-up questions take less time and don't require you to rewrite queries.
Our Notebook system saves each step of your analysis and keeps outputs consistent across updates. You can schedule reports, share results, and keep formatting stable without rebuilding anything week after week.
Julius focuses on quick insights, recurring reports, and lightweight comparisons. It’s built for the routine moments when you need clear answers without managing SQL or setting up dashboards.
Why it beats DataGrip
Faster answers: Ask questions directly without preparing SQL
Easier exploration: Follow-up questions don’t require query edits
Ready-to-share output: Charts appear without extra formatting
Quicker setup: Connect sources like Sheets or Postgres quickly
Repeatable workflows: Notebooks keep results stable across updates
Pros
Direct connectors for Sheets, BigQuery, and Postgres
Scheduled reports for recurring updates
Simple question-driven workflow
Cons
Not designed for deep BI modeling
Limited control over advanced visual layouts
Pricing
Julius starts at $16 per month for the Plus plan.
Bottom line
2. Chat2DB: Best for visual database browsing with AI query help
I tried Chat2DB on a few sample datasets to see how quickly I could move from raw tables to a usable view. The interface made it easy to browse schemas, run basic queries, and check results without extra setup. I didn’t need much configuration before I could see patterns in the data.
My first round with the AI features showed that Chat2DB can draft SQL from natural questions and explain the logic behind the output. This helped when I wanted a quick check before refining a query on my own.
I also noticed that switching between databases stayed smooth because Chat2DB supports many engines out of the box, though the workspace feels limited when you’re comparing multiple queries.
Why it beats DataGrip
Lower barrier: Ask for SQL without remembering exact fields
Faster setup: Start browsing tables with fewer steps
Multi-database support: Move between sources without extra plugins
Pros
Supports many databases out of the box
Clear layout for browsing schemas
Helpful AI prompts for drafting SQL
Cons
Limited dashboarding features
Fewer customization options for output
Pricing
Chat2DB starts at $15 per user per month.
Bottom line
3. AI2SQL: Best for quick SQL generation from prompts
AI2SQL turns short prompts into simple SQL, but the output stays basic. In my testing, the tool converted plain English questions into starter queries without asking for field selection, though the drafts often needed review before running them.
I paid close attention to how AI2SQL handled edits. Each follow-up prompt produced a new version of the query that corrected filters or added new conditions. This saved time when I needed a fast answer rather than a fully structured workflow.
AI2SQL fits situations where you want a quick SQL draft you can paste somewhere else. It’s built for one-off queries and doesn’t support dashboards, visuals, or multi-step analysis, so it’s better suited for light tasks than full reporting work.
Why it beats DataGrip
Faster drafting: Generate SQL from a short prompt
Simple corrections: Fix queries with one follow-up
Low setup: Start without configuring connections
Pros
Clear prompt box for quick requests
Fast SQL generation
Easy to refine queries
Cons
No built-in charts
Limited multi-step analysis
Pricing
AI2SQL starts at $11 per month.
Bottom line
AI2SQL helps you turn questions into SQL without much effort, which matters when you only need a quick result. If you want a traditional editor with more structure, Beekeeper Studio may fit better.
4. Beekeeper Studio: Best for cross-platform SQL editing with AI suggestions
I tried Beekeeper Studio on a few databases to see how fast I could get a clean view of my tables. The layout stayed simple, and switching between queries felt familiar right away. I didn’t need extra plugins to connect to common engines.
I also tested the AI suggestions to see how useful they were for everyday tasks. The prompts produced sample queries and small fixes rather than full analysis. That helped when I wanted a starting point before editing the SQL myself.
Beekeeper Studio works well if you want a lightweight SQL editor with a bit of AI help. It focuses on clean editing, stable connections, and cross-platform support, but it falls short when you need visual outputs.
Why it beats DataGrip
Lower footprint: Runs smoothly without a heavy IDE
Quicker setup: Connect to databases without extra steps
Helpful prompts: Get small SQL suggestions when needed
Pros
Familiar query editor
Useful AI hints
Works across major operating systems
Cons
No advanced visual features
Limited automation tools
Pricing
Beekeeper Studio starts at $9 per user per month.
Bottom line
5. Conar: Best for Postgres workflows that need NL filtering
I liked how fast Conar was when I used it on a Postgres dataset. The tool turned natural-language prompts into SQL that lined up with my expectations. Follow-up questions about ranges or categories updated results without much effort.
I spent extra time checking how well Conar handled filtering. My questions about counts, categories, or limits returned clean results without needing edits. That helped when I wanted simple checks without switching back into SQL for each step.
You can use Conar for free right now while it’s still in beta. The downside is that some areas feel unfinished, so the workflow may change as development continues.
Why it beats DataGrip
Quicker filtering: Ask for conditions without writing SQL
Postgres focus: Works well with common Postgres patterns
Simple setup: Start without heavy configuration
Pros
Clear prompt box for natural-language filtering
Good for quick Postgres checks
Easy to adjust queries
Cons
No dashboarding
Limited support outside Postgres
Pricing
Conar is free while in beta.
Bottom line
Conar makes it easy to run quick Postgres checks with natural-language prompts, which helps when you want simple answers without switching into SQL. If you need cross-database support, Chat2DB is a better fit.
6. DbGate: Best for multi-database work with AI chat assistance
I tested DbGate on several connected sources to see how the AI chat handled different schemas. The tool recognized my tables and produced SQL that matched the structure of each database. I didn’t need separate plugins to move between engines.
I also checked how well DbGate explained its queries. The chat window gave short descriptions of what the SQL would do before running it. That helped when I wanted to confirm accuracy before making changes.
DbGate works well when you want a single client that supports SQL, NoSQL, and file-based sources with AI help for drafting and adjusting queries. The downside is that the visual options feel limited when you want charts.
Why it beats DataGrip
Broader support: Works with SQL and NoSQL sources
AI explanations: Shows query logic before execution
Flexible connections: Switch between engines easily
Pros
AI chat that understands schemas
Supports many data types
Simple interface for editing SQL
Cons
Basic visualization options
Fewer workflow tools than full IDEs
Pricing
Bottom line
DbGate helps you work across many databases with AI chat support, which matters when your data lives in different systems. If you only need fast SQL from prompts, AI2SQL may be enough.
How I tested these DataGrip alternatives with AI
I spent several weeks working with each tool on real reporting tasks to see how well they handled everyday questions, quick checks, and early analysis. My goal was to see how quickly each one returned a chart, summary, or SQL draft. I also checked how stable the workflows were over time and how much setup the AI needed before it became useful.
Here’s what I focused on:
Connection setup: I connected Postgres, BigQuery, and Sheets to see how long it took to reach a usable starting point.
AI query accuracy: I compared natural-language prompts against the SQL I would normally write to judge how close the drafts came to what I expected.
Follow-up behavior: I tested how each tool handled second and third questions so I could see whether the AI kept context or needed extra direction.
Schema navigation: I checked how easy it was to browse tables, fields, and relationships when I needed to confirm a detail before running a query.
Result clarity: I looked at how cleanly each tool displayed summaries, counts, or simple visuals so I could understand results without extra formatting.
Cross-database behavior: I moved between different sources to see whether the interface stayed stable or needed extra setup each time.
Workflow stability: I repeated the same question sets across several days to see if results stayed consistent and whether the tools handled updates smoothly.
How to choose the right DataGrip alternative with AI
The right DataGrip alternative depends on how you work, how much SQL you want to avoid, and whether you need analysis or pure editing. Choose:
Julius if you want natural-language answers, quick summaries, or charts without writing SQL.
Chat2DB if you prefer a visual browser and want AI drafts while moving across several databases.
AI2SQL if you need short SQL snippets from plain prompts and plan to paste them into other tools.
Beekeeper Studio if you want a lightweight SQL editor with small AI suggestions for query fixes and starter snippets.
Conar if most of your work lives in Postgres and you want fast filtering through natural language.
DbGate if you need one client that supports SQL, NoSQL, and files with AI chat guidance.
My final verdict
I noticed in testing that people who want quick SQL drafts often start with AI2SQL, while teams that prefer a familiar editor usually pick Beekeeper Studio. Chat2DB fits users who move across several databases and want a simple way to browse tables. DbGate tends to attract people who need one client for SQL and NoSQL without a heavy setup.
Julius gives you a different way to work by turning questions into clear summaries and charts without touching SQL. I’ve found that this keeps the focus on the insight instead of the mechanics of writing queries or stitching data together. It supports the parts of daily analysis that need quick, reliable answers so your workflow stays practical.
Try Julius if you want an AI alternative to DataGrip
If you’re comparing what the best DataGrip alternatives with AI can do, Julius gives you a faster way to get answers from your data. You can ask natural-language questions and get clear analysis, charts, and summaries without writing SQL.
Julius is an AI-powered data analysis tool that connects directly to your data so you can explore metrics, review trends, and build reports in less time.
Here’s how Julius helps:
Quick single-metric checks: Ask for an average, spread, or distribution, and Julius shows you the numbers with an easy-to-read chart.
Built-in visualization: Get histograms, box plots, and bar charts on the spot instead of jumping into another tool to build them.
Catch outliers early: Julius highlights values that throw off your results, so decisions rest on clean data.
Recurring summaries: Schedule analyses like weekly revenue or delivery time at the 95th percentile and receive them automatically by email or Slack.
Smarter over time: With each query, Julius gets better at understanding how your connected data is organized. It learns where to find the right tables and relationships, so it can return answers more quickly and with better accuracy.
One-click sharing: Turn a thread of analysis into a PDF report you can pass along without extra formatting.
Direct connections: Link your databases and files so results come from live data, not stale spreadsheets.
Ready to see how Julius can help your team make better decisions? Try Julius for free today.
Frequently asked questions
Are AI SQL tools safe to use with databases?
Yes, AI SQL tools are safe when you use read-only permissions and limit access to the tables you want to expose. This setup protects your data while still letting you get AI support for drafting queries and checking patterns.
Does DataGrip have AI features for querying?
Yes, DataGrip has AI features through the JetBrains AI Assistant, but the help stays limited to query drafts and explanations. It doesn’t turn questions into summaries or charts, so you still need SQL for deeper analysis.
Are AI SQL tools good for beginners?
Yes, AI SQL tools are good for beginners because they turn natural language questions into starter queries you can refine. You get quick drafts and explanations that help you learn the structure without needing full SQL knowledge.
