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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 โ 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 โ 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 โฌ9/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.
DynoTableNo features have been listed yet.
DynoTable's answer:
DynoTable is the only DynamoDB GUI that pairs a real SQL Workbench โ with JOINs, GROUP BY, and aggregations (SUM, AVG, COUNT DISTINCT, HAVING) that PartiQL can't do โ 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.
DynoTable's answer:
Unlike the AWS console or Dynobase, DynoTable lets you run real SQL โ JOINs, GROUP BY, and aggregations โ 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.
DynoTable's answer:
DynoTable is built for backend and full-stack engineers, DevOps, and data teams who work with AWS DynamoDB day to day โ anyone who wants SQL-style querying, safe editing, and AI assistance on top of DynamoDB without exporting data to another tool.
DynoTable's answer:
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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