DynoTable vs Dynobase

DynoTable is a desktop DynamoDB client built around a SQL Workbench that runs JOINs, GROUP BY and aggregates within DynamoDB's access-pattern rules. This page compares it factually with Dynobase, a paid DynamoDB GUI. Both are cross-platform desktop apps for browsing, editing and querying DynamoDB without the AWS Console.

Feature	DynoTable	Dynobase
AI agent on your own AWS Bedrock keys	Yes	No
SQL JOINs, GROUP BY & aggregates	Yes	No
Data modeling & visualization	Query-focused	Yes
Staged writes (per-edit review)	Yes	All-or-nothing
Connect external AI agents (MCP), staged review	Yes	No
Visual query/scan builder	Yes	Yes
Export to CSV / JSON	Yes	Yes
Works offline (DynamoDB Local)	Yes	Yes
Pricing	Paid	Paid

Why look for a Dynobase alternative?

Most people weighing one want a specific capability a purely visual client can't give them: real relational queries — a JOIN or GROUP BY across their tables — an AI assistant that runs on their own AWS account instead of a vendor's, or a licence that keeps working offline with their data never leaving their machine. DynoTable is built around exactly those three. The rest of this page is the point-by-point comparison.

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

The headline difference is the SQL Workbench. A plain visual client lets you filter and scan a single table; it can't join two tables, group rows, or compute aggregates, because DynamoDB has no relational query engine underneath.

DynoTable's SQL Workbench compiles SQL — INNER/LEFT JOIN, GROUP BY, COUNT, SUM and friends — down to DynamoDB's real Query/Scan operations on the client. You write relational-shaped SQL; DynoTable plans it against your keys and GSIs, so it stays within DynamoDB's access-pattern rules rather than pretending the table is a relational database. If you've hit the wall where PartiQL stops, the PartiQL vs SQL guide explains exactly what's missing and how the Workbench fills it.

For everyday work — browsing items, inline editing, building filter and key conditions, running PartiQL — DynoTable and Dynobase overlap heavily. The SQL Workbench is the capability you won't find in a purely visual client.

The AI assistant runs in your own AWS account

DynoTable's other 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. Crucially, 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, with inference billed to your AWS at Bedrock's rates and no markup. See the AI chat docs for setup, models and the per-action permission model. An agent on your own keys, with your data staying inside your account, is the part a hosted AI add-on can't match.

How to switch from Dynobase

Download DynoTable for macOS, Windows or Linux and install it.
Add a connection with the same AWS profile or access keys you use in Dynobase — DynoTable reads your standard AWS credential chain, nothing DynoTable-specific.
Point it at the same region and tables; your data stays in DynamoDB, so there's nothing to migrate.
Open the SQL Workbench and run a query you couldn't express before — a JOIN across two tables or a GROUP BY aggregate.

See pricing for the current plans.

FAQ

Is DynoTable a Dynobase alternative?

Yes. DynoTable is a desktop DynamoDB client whose SQL Workbench runs JOINs, GROUP BY and aggregates — queries you can't express in a plain visual client.

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 DynoTable as a DynamoDB GUI and the NoSQL Workbench comparison.
Build queries fast with the free DynamoDB Expression Builder.

Last verified 2026-06-08. Dynobase is a trademark of its respective owner; referenced here for identification only.