DynoTable vs TablePlus

TablePlus is a native GUI for relational databases that added an undocumented DynamoDB connector in 2025: you can view tables and filter items with its visual filter builder, but there is no PartiQL or SQL query editor for DynamoDB, and DynamoDB has no page in TablePlus's official documentation. DynoTable is purpose-built for DynamoDB instead: a SQL Workbench that runs JOINs, GROUP BY and aggregates within DynamoDB's access-pattern rules, plus an AI agent on your own AWS account. This page compares the two factually as DynamoDB clients.

FeatureDynoTableTablePlus
Purpose-built for DynamoDBYesRelational-first
Browse & filter DynamoDB itemsYesYes
Edit DynamoDB itemsYesLimited (in progress)
PartiQL/SQL query editorYesNo
SQL JOINs, GROUP BY & aggregatesYesNo
Smart Tables (visual joined views)YesNo
AI agent on your own AWS Bedrock keysYesNo
Connect external AI agents (MCP), staged reviewYesNo
Works offline (DynamoDB Local)YesNot documented
Documented DynamoDB supportYesNo
PricingFrom $9/mo$99 one-time

Is DynoTable a TablePlus alternative for DynamoDB?

Yes, for the DynamoDB half of the job. TablePlus is a native client built around relational databases — Postgres, MySQL, SQL Server and the like — with DynamoDB as a recent, still-evolving addition. DynoTable does one database — DynamoDB — and builds the querying, editing and AI workflow around its real access patterns rather than a generic filter builder. If DynamoDB is the database you live in every day, that focus is the difference.

What TablePlus does, and doesn't do, with DynamoDB

TablePlus started shipping DynamoDB support through 2025: you can connect with an AWS profile or access keys, view a table's items, and narrow them with TablePlus's visual filter builder — the same GUI tool it uses for its relational drivers, not a PartiQL or SQL text editor. Editing items, viewing a table's schema, and importing/exporting data were still being built out as of the connector's public builds. DynamoDB does not appear in TablePlus's official documentation site, so the feature set isn't formally specified anywhere.

Because there is no query-language surface at all for DynamoDB, TablePlus has no path to JOIN, GROUP BY or aggregate functions across your tables — those need a query engine to compile against, and the DynamoDB connector doesn't have one.

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

The headline difference is the SQL Workbench. A visual filter builder lets you narrow a single table's items; it can't join two tables, group rows, or compute aggregates, because there's no SQL engine underneath it.

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. The PartiQL vs SQL guide explains exactly where DynamoDB's own query surface stops and how the Workbench fills the gap.

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. DynoTable can also expose those same tools to external AI agents over MCP, still gated behind staged review.

How to switch from TablePlus

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

See pricing for the current plans.

FAQ

Does TablePlus support DynamoDB?

Yes, informally. TablePlus added a DynamoDB connector in 2025 that lets you view tables and filter items with its visual filter builder, but it has no PartiQL or SQL query editor, editing and schema tools are still limited, and DynamoDB is absent from TablePlus's official documentation.

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.

Last verified 2026-07-06. TablePlus is a trademark of its respective owner; referenced here for identification only.

Work with DynamoDB without the Console

DynoTable is a fast desktop client for DynamoDB — browse tables, run SQL-style queries, and edit items locally.