DynoTable — A DynamoDB GUI Client

DynoTable is a desktop DynamoDB GUI client built around a SQL Workbench that runs JOINs, GROUP BY and aggregates within DynamoDB's access-pattern rules. This page covers what to look for in a DynamoDB GUI and where DynoTable goes further than a plain visual client.

Feature	DynoTable	DynamoDB GUI clients
AI agent on your own AWS Bedrock keys	Yes	No
SQL JOINs, GROUP BY & aggregates	Yes	No
Connect external AI agents (MCP), staged review	Yes	No
Cross-platform desktop app	Yes	No
Export to CSV / JSON	Yes	Console: page only
Multiple AWS accounts & regions	Yes	Console only
PartiQL query editor	Yes	Console only
Works offline (DynamoDB Local)	Yes	admin only
Pricing	Paid	Free

What a DynamoDB GUI should do

The AWS Console works, but it's slow for daily use. A good desktop GUI gives you:

A fast table browser and inline item editor — see and edit items without hand-writing JSON.
Query and scan builders — compose key conditions and filters visually instead of memorising the API.
A PartiQL editor — for the SQL-like surface DynamoDB exposes natively.
Local development support — point at DynamoDB Local for offline work.

Most GUI clients cover the first three to some degree; offline support varies.

Why DynoTable: SQL within DynamoDB's access-pattern rules

DynoTable adds the one thing a visual-only GUI can't: a SQL Workbench that compiles SQL — INNER/LEFT JOIN, GROUP BY and aggregates — down to DynamoDB's real Query/Scan operations. You get to ask relational-shaped questions while staying within DynamoDB's access-pattern rules, instead of being limited to a single-table scan. The PartiQL vs SQL guide explains why plain PartiQL stops short and how the Workbench compiles around it.

The AI assistant runs in your own AWS account

Beyond the SQL Workbench, DynoTable's flagship is an agentic AI assistant: it reads your DynamoDB schema, writes PartiQL and SQL Workbench queries, and stages edits for you to approve before anything is written. It runs on your own AWS Bedrock credentials — prompts, schema and table rows talk directly to Bedrock in your AWS account and never pass through a DynoTable server, billed to your AWS at Bedrock's rates with no markup. See the AI chat docs for setup, models and the per-action permission model. Few DynamoDB GUIs include an AI agent at all, and keeping inference inside your own AWS account is rarer still.

How to get started

Download DynoTable for macOS, Windows or Linux.
Connect with your standard AWS credentials and region — or DynamoDB Local for offline work. Your data stays in DynamoDB; nothing to migrate.
Browse a table, edit an item, then open the SQL Workbench and run a JOIN or GROUP BY.

See pricing for the current plans.

FAQ

What is the best DynamoDB GUI client?

The right DynamoDB GUI lets you browse and edit items and query without the AWS Console. DynoTable adds a SQL Workbench that runs JOINs, GROUP BY and aggregates within DynamoDB’s access-pattern rules.

Can DynoTable run SQL against DynamoDB?

Yes. DynoTable's SQL Workbench compiles SQL — including INNER/LEFT JOIN, GROUP BY and aggregates — down to DynamoDB's real Query/Scan operations, so it stays within DynamoDB's access-pattern rules.

Browse the full comparison hub for every DynoTable alternative.
See also the Dynobase comparison and the TablePlus & DataGrip comparison.
Convert items with the free DynamoDB JSON Converter.

Last verified 2026-06-08.