Best 5 SQL Editors in 2026: Find the Right Tool

Introduction

DataGrip is the strongest all-around SQL editor here, thanks to its wide database support and built-in query tools. This roundup covers five editors for different ways of working, from querying in a browser to managing databases on your desktop. The best choice depends on where your data lives and what you need to do with your query results.

Quick comparison

Each tool fits a different part of the SQL workflow. Consider where your data lives and whether you need help writing queries, working with teammates, or presenting results.

1. DataGrip

Best for: Developers and analysts who work across multiple databases.

DataGrip is a desktop database IDE for relational and NoSQL databases. SQL completion and error detection help as you write, while query history makes it easy to return to earlier work.

You can also edit data interactively, so DataGrip is useful for more than writing and running queries. Its main strength is range: if you work with different types of databases, it gives you one desktop environment for many database tasks.

2. Supabase SQL Editor

Best for: Teams already working in Supabase.

Supabase Studio’s browser-based SQL editor lets you write, run, and manage queries within the platform. Syntax highlighting, autocomplete, and error detection provide guidance as you work, and query history helps you find previous queries.

Teams can also save shared snippets instead of keeping separate copies in individual workflows. The editor’s biggest advantage is that it lives inside Supabase Studio, where teams can work with SQL alongside the Supabase tools they already use.

3. Metabase SQL editor

Best for: Analysts who want to turn query results into visualizations.

Metabase’s SQL editor lets analysts and other specialists write native queries, then save and share snippets for later use. It works well when SQL is one part of a larger analysis, rather than the end goal.

After a query runs, you can turn its results into visualizations in Metabase. That path from query to visual output makes the editor a good fit for analysts who want to explore and present data in one workflow.

4. PopSQL

Best for: Teams that collaborate on queries and share results.

PopSQL gives teams a shared SQL editor for writing queries, visualizing data, and sharing results. It can be a good fit when colleagues need access to query work, rather than leaving it in one person’s editor.

Collaboration is the main focus. PopSQL covers the practical work of writing SQL, but also makes it easier to share queries and results with others. Consider it if your team often works together on queries or needs to communicate what they found.

5. Mode

Best for: Browser-based SQL querying and iterating on results.

Mode provides a cloud-based SQL editor for querying data in a browser. It suits people who prefer an online workspace to installing a desktop database IDE, especially if their analysis involves running queries and reviewing results repeatedly.

Its main distinction is that browser-based workflow: you can query data and revisit the results in the same cloud environment. Mode is worth considering if you want to explore data online and don’t need to prioritize desktop database management features.

How we picked these tools

We compared the editors’ core features for writing and running SQL, along with whether they support desktop or browser-based work. We also looked at related tasks, including reviewing query history, editing data, sharing snippets, collaborating, and visualizing results.

The picks serve different needs rather than treating every SQL editor as interchangeable. DataGrip focuses on broad database support, while Supabase, Metabase, PopSQL, and Mode fit workflows built around their respective platforms and features. This comparison sticks to the product features provided and doesn’t assume specific prices or integrations that aren’t listed.

Frequently asked questions

What should I look for in a SQL editor?

First, check that the editor supports the databases you use. Then look at writing assistance, such as autocomplete and error detection, and consider what you need after a query runs: history, data editing, sharing, or visualization.

Should I choose a desktop or browser SQL editor?

A desktop editor such as DataGrip may suit you if you want a dedicated database IDE or work across several database types. Browser-based options can be a better fit for work centered on a particular platform or online analysis. Choose based on where your data lives and which tools are already part of your workflow.

When do visualization or collaboration features matter?

Visualization can help analysts who want to turn a SQL query into a chart or another visual result without switching workflows. Teams may care more about shared snippets, collaboration, and query history when they need to reuse work, share findings, or return to earlier queries.

The verdict

DataGrip is the strongest overall pick. It supports relational and NoSQL databases and includes SQL completion, error detection, query history, and interactive data editing. That range makes it a solid default for people who work across database types. Supabase SQL Editor is a good runner-up for teams already using Supabase, while Metabase SQL editor is a strong choice for analysts who want to turn SQL results into visualizations.