Find DynamoDB tables quickly
Discover DynamoDB through an AWS connection or connect directly, then browse tables without translating them into relational database concepts.
Browse tables, inspect metadata, review items in grid or JSON form, and make focused changes while keeping DynamoDB beside the systems and workflows that depend on it.
Move from exploring Amazon DynamoDB to building useful workflows, shared tools, and trusted data products—all without losing the context behind the work.
Updated August 25, 2026. Available actions depend on the permissions granted to your connected account.
Discover DynamoDB through an AWS connection or connect directly, then browse tables without translating them into relational database concepts.
Scan data quickly in a grid and switch to JSON when the exact document structure matters.
Keep table details and observed item fields beside the live data so investigations start with useful context.
Create, update, and delete items when the connected AWS identity has the required permissions.
Use cloud discovery to locate an available regional service or connect with the endpoint and region settings you already use.
Browse available tables, inspect metadata, and review items before making a change.
Move between grid and JSON views to understand both common fields and document-level detail.
Place DynamoDB beside related databases, workflows, models, and tools so operational work is easier to coordinate.
WhoDB gives teams a clear place to find tables, inspect items, understand metadata, and make permitted changes without forcing DynamoDB into a SQL-shaped workflow.
Because DynamoDB lives beside the rest of the project's data, teams can keep ownership and downstream context visible while they work.
Straight answers about setup, everyday tasks, and how WhoDB fits into your workflow.
Yes. WhoDB can use an AWS connection to find DynamoDB in an available region and bring it into the project.
Teams can review items in grid, JSON, and metadata views, making both repeated fields and individual document structure easier to inspect.
Yes. Teams can create, update, and delete items when the connected AWS identity has the required permissions.
Yes. Permitted AI-assisted workflows can use DynamoDB data and metadata within the person's project permissions.
Give your team one place to explore, understand, and build with data across the systems you already use.
Use WhoDB as a PostgreSQL GUI and shared data workspace for SQL, EXPLAIN ANALYZE, record editing, imports, mock data, lineage, pipelines, and AI-assisted work.
Use WhoDB as a MySQL GUI and data workspace for schema exploration, native SQL, record editing, imports, mock data, visual pipelines, lineage, apps, and AI.
Use WhoDB as a MongoDB GUI for collections, documents, sampled schema metadata, editing, mock data, relationship context, visual workflows, and lineage.