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DynoTable

A fast, local-first DynamoDB GUI client — visual browsing, real SQL with joins and aggregations, PartiQL, and an AI agent on your own Bedrock keys.

DynoTable is a fast, local-first desktop GUI client for AWS DynamoDB, available for macOS, Windows, and Linux. It goes beyond the AWS console and PartiQL with a SQL Workbench that runs real SELECT queries — JOINs, GROUP BY, and aggregations (SUM, AVG, COUNT DISTINCT, HAVING) across your live DynamoDB tables.

A built-in AI agent runs on your own Amazon Bedrock keys: it reads your schema, drafts queries, and proposes writes without routing any data or credentials through third-party servers. DynoTable is local-first — it talks directly to AWS with your own credentials, respects your IAM policies, and stages every write for review before it commits.

Other features include a visual data browser, a PartiQL console, a lossless JSON item editor, Smart Tables with visual joins across tables, constant-memory JSON/NDJSON/CSV export, and Model Context Protocol (MCP) support so you can point Claude Code, Cursor, or Codex at your tables.

A free 30-day trial is available; paid plans start at €9/month for individuals, with Team and Enterprise options. DynoTable is a modern alternative to Dynobase and NoSQL Workbench for developers who want SQL and AI on top of DynamoDB.

A startup from Spain.

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Pricing:

Paid
Free Trial
€9.0 / Monthly (Individual)
Official Pricing

Platforms:

Mac
Windows
Linux

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DynoTable Reviews and Details

This page is designed to help you find out whether DynoTable is good and if it is the right choice for you.

#NoSQL Databases #Database Tools #Database Management #Databases #Key-Value Database #Developer Tools

Screenshots and images

SQL Workbench — JOINs, GROUP BY & aggregations over live DynamoDB //
2026-07-06
Tables and tabs workspace //
2026-07-06
Smart Tables — visual joins across DynamoDB tables //
2026-07-06
AI agent on your own Amazon Bedrock keys //
2026-07-06
Visual query builder //
2026-07-06
PartiQL console //
2026-07-06
Staged, production-safe writes //
2026-07-06

Features & Specs

SQL Workbench

Real SQL over DynamoDB: JOINs, GROUP BY, and aggregations (SUM, AVG, COUNT DISTINCT, HAVING)
AI on your own Bedrock keys

Runs on your own Amazon Bedrock keys — reads schema, drafts queries and writes; nothing through our servers
Smart Tables

Visual joins across DynamoDB tables
PartiQL console

Run PartiQL statements with autocomplete
Visual table browser & editor

Browse and edit items inline without hand-writing JSON
Visual query & scan builder

Compose key conditions and filters visually instead of memorizing the API
Multiple AWS accounts & regions

Switch between multiple AWS accounts and regions
Offline support (DynamoDB Local)

Point at DynamoDB Local, LocalStack, or dynalite for offline development
Production-safe staged writes

Every write is staged for review before it commits; respects your IAM policies
Local-first

Talks straight to AWS with your own credentials — no data through our servers
MCP support

Point Claude Code, Cursor, or Codex at your tables via Model Context Protocol
Data export

JSON, NDJSON, and CSV export with constant memory usage

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Questions & Answers

As answered by people managing DynoTable.

What makes DynoTable unique?

DynoTable is the only DynamoDB GUI that pairs a real SQL Workbench — with JOINs, GROUP BY, and aggregations (SUM, AVG, COUNT DISTINCT, HAVING) that PartiQL can't do — with an AI agent that runs on your own Amazon Bedrock keys. It is local-first: your data and credentials talk straight to AWS and never pass through our servers, and every write is staged for review and respects your IAM policies.
Why should a person choose DynoTable over its competitors?

Unlike the AWS console or Dynobase, DynoTable lets you run real SQL — JOINs, GROUP BY, and aggregations — across live DynamoDB tables, answering questions PartiQL can't. It adds an AI agent on your own Amazon Bedrock keys, a visual browser, a PartiQL console, and Smart Tables with visual joins. Writes are staged for review and respect your IAM policies, so it's safe on production. It's actively maintained, runs on macOS, Windows, and Linux, and offers a free 30-day trial.
How would you describe the primary audience of DynoTable?

DynoTable is built for backend and full-stack engineers, DevOps, and data teams who work with AWS DynamoDB day to day — anyone who wants SQL-style querying, safe editing, and AI assistance on top of DynamoDB without exporting data to another tool.
What's the story behind DynoTable?

DynoTable started because working with DynamoDB meant living in the AWS console or reaching for a GUI that couldn't do SQL and was no longer actively maintained. It was built by a solo developer with one goal: bring real SQL (JOINs, GROUP BY, aggregations), safe production editing, and an AI agent to DynamoDB in a fast, local-first desktop app that never routes your data through someone else's servers.

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Is DynoTable good? This is an informative page that will help you find out. Moreover, you can review and discuss DynoTable here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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