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Jam SQL Studio VS DataGrip

Compare Jam SQL Studio VS DataGrip and see what are their differences

Jam SQL Studio

Desktop SQL client for SQL Server, PostgreSQL, MySQL, Oracle and SQLite on Mac, Windows and Linux. Also works with Azure Storage and KQL: Azure Data Explorer, Application Insights and Log Analytics.

Rating
0 reviews
Pricing
Freemium Free trial $9.99 / Monthly (Commercial use)
Alternatives Is it good?
DataGrip

Tool for SQL and databases

Rating
0 reviews
Alternatives Is it good?
Tacit AI
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change. sponsored

Which is more popular?

Based on our record, DataGrip seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Database Management popularity
2% vs 98%
alternatives listed
8 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

Jam SQL Studio
DataGrip
Website jamsql.com jetbrains.com
Pricing
Freemium Free trial $9.99 / Monthly (Commercial use) Official pricing
—
Platforms
Mac MacOS Mac OSX Linux Windows Ubuntu Omarchy +4
—
Company Startup from Poland · 1 - 9 employees · 2025 —
Listed in
Database Management Databases Database Management Tools MySQL Tools MySQL GUI SQL Client SQL Diagrams PostgreSQL MSSQL Server Azure Management Tools +7
Database Management Databases MySQL Tools Database Tools +1

About Jam SQL Studio and DataGrip

In their own words, as submitted to SaaSHub.

Jam SQL Studio
DataGrip

Jam SQL Studio is a desktop SQL client for SQL Server, PostgreSQL, MySQL, Oracle and SQLite, with Azure Data Explorer (KQL) and Azure Storage support. It runs on macOS (Apple Silicon and Intel), Windows and Linux. It includes a query editor with schema-aware autocomplete, a table explorer for...

Read more about Jam SQL Studio

No description of DataGrip yet.

Features and specs

What each product offers, as listed by its team.

Jam SQL Studio 12 features
DataGrip 7 features
  • Databases
    SQL Server, Azure SQL, PostgreSQL, MySQL/MariaDB, Oracle and SQLite, plus Azure Data Explorer (KQL) and Azure Storage
  • Query Editor
    Schema-aware autocomplete, multiple result sets and query history
  • Table Explorer
    Browse, filter, sort and edit table data without writing SQL
  • Schema Compare
    Side-by-side DDL diffs and synchronization scripts, also across engines
  • Data Compare
    Row-by-row diffs with generated INSERT/UPDATE/DELETE scripts
  • Query Builder
    Visual Query Editor allowing to create and edit queries without knowledge on given SQL dialect
  • Execution Plan
    Interactive plan graphs for SQL Server, PostgreSQL, MySQL and Oracle; compare two plans
  • SQL Notebooks
    SQL, JavaScript and Markdown cells, saved as .ipynb
  • Data Import/Export
    Import CSV, TSV, Excel, JSON and NDJSON into new or existing tables, Export to CSV, Excel, JSON
  • DBA Tools
    Session browser, performance dashboard, SQL Server Agent jobs, Query Store and deadlock analyzer
  • AI and MCP
    AI chat sidebar and a local MCP server for Claude Code, Codex CLI and other agents
  • Connection import
    Brings connections over from Azure Data Studio, DBeaver and others.
  • Cross-Platform Support
    DataGrip runs on multiple operating systems including Windows, macOS, and Linux, providing flexibility across various development environments.
  • Intelligent Query Console
    The query console offers code completion, syntax highlighting, and on-the-fly error detection, making SQL coding faster and more accurate.
  • Database Support
    Supports a wide range of databases, including MySQL, PostgreSQL, SQLite, Oracle, and many others, allowing users to manage different database systems within one tool.
  • Data Visualization
    Provides powerful data visualization tools, including table and schema views, which help in understanding and managing the data more effectively.
  • Refactoring Tools
    Includes advanced refactoring capabilities such as renaming, changing column types, and finding usages, which help maintain and update databases with ease.
  • Version Control Systems Integration
    Integrates with popular VCS systems like Git and SVN, allowing for seamless code versioning and collaboration.
  • Customizable Interface
    Highly customizable interface with various themes and layout configurations that adapt to different working styles and preferences.

Possible disadvantages

  • Cost
    DataGrip is a commercial tool and requires a subscription, which may be a significant cost for individual developers or small teams.
  • Resource Intensive
    Tends to consume a considerable amount of system resources, which may affect performance on less powerful machines.
  • Steep Learning Curve
    The tool offers a wide range of features and customizations that can be overwhelming for beginners and may require time to learn and master.
  • Occasional Bugs
    Users have reported occasional bugs and instability issues, which can disrupt workflow and productivity.
  • Limited Non-SQL Database Support
    Primarily designed for SQL databases and has limited support or features for non-SQL databases compared to specialized tools.
  • Complex Configuration
    Initial setup and configuration can be complex, particularly when integrating with various databases and external tools.

Videos

Walkthroughs and reviews on video.

Jam SQL Studio 0 videos + Add
DataGrip 1 video + Add

No Jam SQL Studio videos yet. You could help us improve this page by suggesting one.

DataGrip Introduction

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Jam SQL Studio
DataGrip
2% 2%
Database Management
98% 98%
3% 3%
Databases
97% 97%
0% 0%
Database Tools
100% 100%
4% 4%
MySQL Tools
96% 96%

Questions & Answers

As answered by people managing Jam SQL Studio and DataGrip.

What makes your product unique?

Jam SQL Studio's answer

SQL Server tools that work the same on macOS, Windows and Linux: graphical execution plans, SQL Server Agent jobs, a deadlock analyzer and Query Store, next to PostgreSQL, MySQL, Oracle, SQLite and KQL in one editor and grid. It imports saved connections from Azure Data Studio, SSMS, DBeaver, DataGrip, TablePlus and other tools, and its local MCP server lets AI agents query your databases with read-only or approval-gated access, starting with queries blocked.

Why should a person choose your product over its competitors?

Jam SQL Studio's answer

SSMS runs only on Windows, and Microsoft retired Azure Data Studio on February 28, 2026. Jam SQL Studio gives SQL Server users execution plans, Agent jobs and schema compare on a Mac or Linux machine, and covers PostgreSQL, MySQL, Oracle and SQLite with tools specific to each engine, such as the Oracle PL/SQL debugger. DBeaver and DataGrip support more database types; Jam SQL Studio supports fewer and goes deeper on each. The Personal tier is free with unlimited connections and no account; Pro is $9.99/month or $99/year per user and covers every machine you use.

How would you describe the primary audience of your product?

Jam SQL Studio's answer

SQL Server developers and DBAs on macOS or Linux, teams moving off Azure Data Studio, and developers who work with several engines, for example SQL Server in production, PostgreSQL in another service and SQLite on their own machine. Also Oracle developers who want a PL/SQL debugger outside Windows, engineers who query Azure Data Explorer, Application Insights or Log Analytics in KQL, and developers who let AI agents such as Claude Code or Cursor query a database with controlled access.

What's the story behind your product?

Jam SQL Studio's answer

Jam SQL Studio started in 2024 as a personal replacement for Azure Data Studio on macOS and became a public product in early 2026, shortly before Microsoft retired Azure Data Studio. It is built by an independent, self-funded software studio in Poland; Pro subscriptions pay for development.

Which are the primary technologies used for building your product?

Jam SQL Studio's answer

Electron, React and TypeScript, with the Monaco editor, Tailwind CSS, TanStack Query and Table, and Zustand. Database access uses the Node.js drivers for each engine (mssql, pg, mysql2, node-oracledb, better-sqlite3, azure-kusto-data and the Azure Storage SDK), plus Microsoft's SQL Tools Service and tree-sitter and ANTLR grammars for language features. The AI integration is built on the Model Context Protocol SDK.

User comments

Share your experience with using Jam SQL Studio and DataGrip. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Jam SQL Studio no reviews yet
DataGrip no reviews yet

We have no reviews of Jam SQL Studio yet. Be the first one to post

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Jam SQL Studio 0 mentions
DataGrip 1 mention

Tracking Jam SQL Studio since Oct 2026.

Alternatives to Jam SQL Studio and DataGrip

When comparing Jam SQL Studio and DataGrip, you can also consider the following products.

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