Amazon Redshift speaks a dialect close to PostgreSQL, so many Postgres tools will connect to it. That is also the trap: a Postgres client that connects is not the same as one that understands Redshift. Distribution styles, sort keys, Spectrum external tables and data sharing do not exist in Postgres, and tools that ignore them show you only half of your warehouse.
Below are seven Redshift GUI tools, grouped by who they serve, with the point where each one stops. They apply to both provisioned clusters and Redshift Serverless.
What a Redshift GUI needs to do
- Authenticate with database credentials, IAM temporary credentials or AWS Secrets Manager, and through SSO.
- Browse schemas, tables and views, including external schemas for Redshift Spectrum.
- Show table design details: distribution style, sort keys and encoding.
- Run SQL with autocomplete and show
EXPLAINplans. - Unload or export results without pulling huge result sets to a laptop.
What no database client does is give a non-technical person a narrow, safe view of warehouse data. Each user needs database credentials and grants. The first tool here takes a different approach.
The seven Redshift GUI tools at a glance
| Tool | Type | Who it is for | Cost |
|---|---|---|---|
| Jet Admin | Web app builder | Teams who need lookups, forms and dashboards on Redshift data | Free plan; paid tiers |
| Redshift Query Editor v2 | Web, in the AWS console | Analysts and engineers with AWS access | Included with Redshift |
| DBeaver | Desktop, multi-database | Engineers across several databases | Free Community; paid PRO |
| DataGrip | Desktop IDE | Developers who treat SQL as code | Paid; free for non-commercial use |
| SQL Workbench/J | Desktop, JDBC-based | Engineers who want a free, scriptable client | Free, open source |
| TablePlus | Desktop, multi-database | Mac users who want a fast native client | Free trial with limits; paid license |
| Beekeeper Studio | Desktop, multi-database | People who want a clean SQL editor | Open source Community; paid tiers |
For teams working on Redshift data
1. Jet Admin
Jet Admin connects to Amazon Redshift and builds an app on it: searchable tables, record detail pages, forms that validate input before a row is written, and dashboards that read live from your warehouse. You describe what you need and Jet generates the screens, then you refine them in a visual editor or in code. Jet queries Redshift in place and keeps no second copy of your data.
The point is who gets to use it. A customer success manager who needs account usage, or a finance analyst who needs to adjust a mapping table, signs in to the app and sees only what their role allows. You connect Redshift once, with one database user scoped to the schemas the app needs, instead of issuing credentials to everyone. Screens run bounded queries you designed, which keeps load on the cluster predictable. Granular permissions, SSO and audit logs are on the Business plan and above; unlimited users are on every plan, including Free.
Where it stops: it is not a place to write ad hoc SQL, read query plans or tune table design. Keep Query Editor v2 or a desktop client for that.
Built by AWS
2. Redshift Query Editor v2
Query Editor v2 is the web SQL client in the AWS console, and it is the first thing most Redshift users open. It has a schema browser, tabbed editors, notebooks, saved and shared queries, simple charts and the ability to load data from S3. Because it lives in the console, access follows your IAM setup.
Where it stops: everyone who uses it needs AWS console access and Redshift permissions, and it is built for writing SQL, not for operational screens.
Desktop clients
3. DBeaver
DBeaver has a dedicated Redshift connection type using Amazon's JDBC driver, including IAM authentication. It shows Redshift-specific table properties and works alongside the other databases you connect.
Where it stops: it is heavy for occasional use, and some Redshift-specific features, such as data sharing objects, are less complete than in AWS's own tools.
4. DataGrip
DataGrip supports Redshift as its own data source with schema-aware completion and refactoring. It is a good fit when Redshift SQL lives in a repository, for example in dbt models.
Where it stops: it is paid for commercial use and more IDE than most analysts need.
5. SQL Workbench/J
SQL Workbench/J is a free, open source, JDBC-based client that AWS documentation has long used in its Redshift connection examples. It is lightweight, handles large result sets well and has strong scripting and batch-export features.
Where it stops: the interface is dated, and setup requires downloading the JDBC driver and configuring it yourself.
6. TablePlus
TablePlus supports Redshift alongside most common databases and is fast and responsive on a Mac. For browsing tables and running quick queries, it is lighter than the Java-based clients.
Where it stops: Redshift-specific details such as distribution and sort keys are less visible, and the free version limits tabs and connections.
7. Beekeeper Studio
Beekeeper Studio is a cross-platform SQL editor with a clean interface that connects to Redshift. It is pleasant for writing and saving queries and exporting results.
Where it stops: it is an editor, with little Redshift-specific administration or table design information.
Which Redshift GUI to use
- People outside the data team need Redshift data in a safe, narrow view: Jet Admin.
- You already have AWS console access: Redshift Query Editor v2.
- Redshift is one of several databases you use: DBeaver.
- Your Redshift SQL lives in a repository: DataGrip.
- You want a free, scriptable client for batch work: SQL Workbench/J.
- You want a fast native Mac client or a clean editor: TablePlus or Beekeeper Studio.
Frequently asked questions
Does Amazon Redshift have a GUI?
Yes. Redshift Query Editor v2 is a web-based SQL client in the AWS console, included with Redshift at no extra cost.
Can I use a PostgreSQL client with Redshift?
Many PostgreSQL clients connect to Redshift, but they may not understand Redshift-specific features such as distribution keys, sort keys and Spectrum external tables. A client with a dedicated Redshift connection is more reliable.
What is the best free Redshift GUI?
Query Editor v2 is free and already in your console. For a free desktop client, DBeaver Community and SQL Workbench/J both support Redshift.
How do I let business users see Redshift data without giving them database access?
Put an application in front of Redshift that connects with one scoped database user and controls who sees what itself. Jet Admin does that, with role-based access in the app and bounded queries that keep warehouse load predictable.
Start with who needs the data
If everyone who needs Redshift data writes SQL, Query Editor v2 and one desktop client will serve them. If the people asking are in customer success, finance or operations, a better SQL client will not help. Connect Redshift to Jet Admin and give them an app built around the questions they ask.