Versions:
DynoTable, published by DynoTable, is a local-first desktop client for Amazon DynamoDB, currently available in version 1.10.1 as the first release in its version history. Falling into the database management and developer tools category, the software is designed to give developers, data engineers, and analysts a richer way to explore and work with DynamoDB tables than the standard console provides. Its centerpiece is a SQL Workbench that runs SELECT queries with JOIN, GROUP BY, and aggregation support over live DynamoDB tables, and before any query executes it previews the compiled plan, showing whether the operation will be a Scan or a Query and which index will be used. A Smart Tables feature joins tables on a primary key or any global secondary index and recomputes results live, requiring no schema migration and no ETL pipeline. DynoTable also integrates AI-assisted workflows: a built-in AI agent runs on the user's own Amazon Bedrock keys, while external tools such as Claude Code, Cursor, and Codex can connect over MCP. To protect data integrity, every proposed write operation is held in a staging window for review before it is applied. The client connects directly to AWS using the user's own credentials and supports common authentication setups, including AWS SSO and aws-vault, as well as DynamoDB Local for local development and testing. Typical use cases include ad hoc data exploration with SQL, cross-table analysis without exporting data, validating query plans to control performance and cost, and safely staging data modifications. By combining SQL querying, live joins, plan previews, and AI-assisted operations in a single local-first desktop application, DynoTable addresses the needs of teams who want relational-style tooling on top of DynamoDB without changing their underlying data model.
Tags: