The Best DynamoDB GUI Clients in 2026

There is no single "best" DynamoDB GUI — there are tools built for different jobs.
A data modeler is the wrong tool for poking at production rows; a generalist SQL
client is the wrong tool for DynamoDB's key structure. This is an honest roundup of
the main options — free, paid, and open-source, including our own — and what each
is genuinely good at, so you can match the tool to the work instead of the hype.

How to choose a DynamoDB GUI

Pick based on the job you actually do most:

• Live data ops — browse, filter, and edit items in real tables, fast, without the AWS Console. This is the daily-driver case.
• Data modeling — design tables, sort keys, and GSIs around your access patterns before you write code.
• Analytics-shaped questions — JOINs, GROUP BY, aggregates. DynamoDB's own query surface does not do these (more below), so the tool has to compile around the limitation.

A tool that nails one of these is often mediocre at the others. Here's the quick
mapping:

Your main job	Reach for
Design tables / GSIs before coding	NoSQL Workbench
Browse & edit live data daily	Dynobase or DynoTable
Git-shareable saved query collections	Dynomate
One GUI for DynamoDB + Elasticsearch / MongoDB	DocKit
Just see what's in a local table	dynamodb-admin / DynamoIt
Already live in a JetBrains IDE	DataGrip
JOIN / GROUP BY / aggregates over your data	DynoTable (SQL Workbench)

Tip

Most teams end up with two tools, not one: a modeler for design time and a
data-ops client for everything after. That split is normal — don't expect a single
GUI to be excellent at both.

AWS NoSQL Workbench

Free · macOS / Windows / Linux · modeling-first

NoSQL Workbench is AWS's own
free, cross-platform visual tool, built around three pillars: a data modeler for
building tables and GSIs (from scratch, imported, or modified from an existing
model), data visualization for previewing access patterns and relationships
against sample data, and an operation builder for exploring datasets and building
data-plane operations — it also generates ready-to-run sample code in several
languages. It connects directly to DynamoDB Local for offline work and can commit
models to a real AWS account. (Features and platforms per the
AWS NoSQL Workbench page,
verified 2026-06-10.)

It's the best free way to design a table, but it's a development and modeling tool,
not a production table browser. Reach for it when you're modeling your
single-table design, not when you're debugging a row
at 2am. Our NoSQL Workbench alternative page
covers the day-to-day gap.

Dynobase

$199 one-time or $9/mo ($108/yr) · 7-day trial · macOS / Windows / Linux

Dynobase is the established paid desktop client and the
most feature-complete commercial option. As of 2026-06-10 its
pricing page lists a $9/month Solo plan ($108 billed
annually) or a $199 one-time lifetime license (down from $249), with a 7-day free
trial that needs no credit card. It covers fast data exploration, inline editing,
code generation, import/export, a SQL/PartiQL console, and DynamoDB Local /
LocalStack support (including Docker distributions).

Note

Dynobase is still sold, and its pricing page lists cross-platform builds with
DynamoDB Local / LocalStack support and a PartiQL console; its last published
version is a 2023 beta. The trade-offs are price, that it's closed-source, and
that its SQL surface is AWS PartiQL pass-through — so it inherits PartiQL's
limits (no cross-table JOIN, GROUP BY, or aggregates).

If you want a polished, broad commercial GUI and the license cost is fine, it's a
solid pick. Our Dynobase alternative page covers
where DynoTable differs — chiefly the SQL Workbench and EUR/EU-tax billing.

Dynomate

$199 one-time · actively maintained · macOS / Windows / Linux

Dynomate is the actively-maintained paid client that grew
popular as a Dynobase alternative, and its distinctive feature is a request-collection
workflow: save queries, chain one query's results into the next, and share those
collections through Git. It also covers AWS SSO, multi-region and cross-account
browsing, multiple tabs, DynamoDB Local, import/export (including S3), and a "SQL
console" for DynamoDB — and it's a one-time $199 purchase rather than a subscription.

That SQL console runs DynamoDB's PartiQL, so like every PartiQL surface it's
single-table — no cross-table JOIN, GROUP BY, or aggregates. If a Git-friendly
library of saved, reviewable queries is the feature you're shopping for, Dynomate is a
strong pick; our Dynomate alternative page covers where
DynoTable differs.

DocKit

Free (Apache-2.0) · open-source · multi-datastore · macOS / Windows / Linux

DocKit is a free, open-source desktop client
built on Tauri/Rust (small install, light memory) that spans several datastores —
Elasticsearch, OpenSearch, MongoDB, and DynamoDB — with a Monaco-based editor and an
agentic AI assistant you point at your own OpenAI, Anthropic, or DeepSeek key. Its
data and keys stay on your machine. For DynamoDB it queries with PartiQL, so it's a
capable, fast, cross-store browser and query tool that costs nothing.

Its breadth is also its trade-off: DocKit is a generalist across five stores rather than
a DynamoDB-native client, and its DynamoDB querying is single-table PartiQL — no
cross-table JOIN, GROUP BY, or aggregates, no DynamoDB-specific modeling. If your
stack is broader than DynamoDB and price matters, it's an excellent free option; if you
live in DynamoDB and need relational-shaped queries, that's the gap DynoTable's
Workbench fills.

TablePlus / DataGrip

Generalist SQL clients with partial-to-no DynamoDB support

These are excellent relational clients, but DynamoDB support in both is informal,
partial, or bolted on — not a first-class citizen.

• TablePlus added an undocumented DynamoDB connector in 2025 — you can view tables and filter items with its visual filter builder — but there's no PartiQL/SQL query editor, editing and schema tools are still limited, and DynamoDB has no page in TablePlus's official docs.
• DataGrip added DynamoDB in version 2023.3, whose release notes state DynamoDB data is viewable in the data viewer, tables with keys and indexes are introspected, and PartiQL is supported in the code editor. It's genuinely useful if you already live in a JetBrains IDE, but it's a viewer-plus-PartiQL surface, not a DynamoDB-native modeling or query-planning tool.

If DynamoDB is a primary database for you, a purpose-built client fits the data
model better than a JDBC bridge. See the
DataGrip comparison and the
TablePlus comparison.

dynamodb-admin / DynamoIt

Free / open-source · local-focused

For local development there are good free options:

• dynamodb-admin is a small open-source web GUI for DynamoDB Local, dynalite, and LocalStack. Install it globally and point it at your local endpoint:

  pnpm add -g dynamodb-admin
  dynamodb-admin --dynamo-endpoint=http://localhost:8000

By default it sets dummy credentials (key/secret, region us-east-1) so it
connects straight to a local endpoint — the standard answer for "I just need to
see what's in my local table." (The --dynamo-endpoint flag and the
default key/secret/us-east-1 credentials are documented in the
dynamodb-admin README; the package
is MIT-licensed. Verified 2026-06-10. The README shows npm install -g; pnpm
installs the same npm package.) For a deeper walkthrough of endpoints and dummy
creds, see connecting to DynamoDB Local.

• DynamoIt is a free, open-source JavaFX desktop viewer that reads your AWS CLI profiles for quick browse/edit/create/delete. It auto-picks scan vs query and supports pagination, local DynamoDB, and index awareness, and its README notes you need at least Java 17 (and Maven) to build and run it. (Features, GPL-3.0 license, and Java requirement per the DynamoIt README, verified 2026-06-10.)

Both are great for local and light use and cost nothing — but neither aims to be a
full-featured production workbench.

Warning

Local-only GUIs like dynamodb-admin and DynamoIt are excellent for development, but
pointing a bare admin UI at a production table is risky: there are no guardrails
around a full-table Scan, and an accidental scan on a
large table burns read capacity and money. Use a client that shows query cost before
you run it.

DynoTable

SQL Workbench: JOIN / GROUP BY / aggregates within DynamoDB's access-pattern rules

Full disclosure: this is our tool. DynoTable is a desktop DynamoDB GUI client whose
differentiator is a SQL Workbench that compiles SQL — INNER/LEFT JOIN,
GROUP BY, and aggregates — down to DynamoDB's real Query/Scan operations.

That matters because DynamoDB's own SQL surface, PartiQL, can't do those. Per the
PartiQL SELECT reference,
its grammar is SELECT … FROM … WHERE … ORDER BY only — there is no JOIN,
no GROUP BY, and no aggregate functions like COUNT, SUM, or AVG. So a tool
that wants to answer relational-shaped questions has to plan and compile them
against your keys and GSIs itself, rather than passing SQL through. The
PartiQL vs SQL guide walks through exactly where PartiQL
stops and how the Workbench fills the gap.

-- Runs in the DynoTable SQL Workbench (NOT in PartiQL):
SELECT c.country, COUNT(*) AS orders, SUM(o.total) AS revenue
FROM orders o
INNER JOIN customers c ON o.customerId = c.PK
GROUP BY c.country
ORDER BY revenue DESC

It also covers the daily-driver basics — fast table browser, inline item editing,
query/scan building, and DynamoDB Local for offline work — and runs its AI agent
on your own AWS Bedrock credentials, so prompts and rows stay in your AWS account.
(Bring-your-own-key AI isn't unique — DocKit offers one too — but DynoTable's runs
specifically in your AWS via Bedrock, and the SQL Workbench is the real
differentiator.) It's the right pick when your questions are analytics-shaped and
PartiQL leaves you stuck. See DynoTable as a DynamoDB GUI.

Comparison table

Tool	Cost	Platforms	Live data ops	Modeling	JOIN / GROUP BY / aggregates
NoSQL Workbench	Free	macOS / Win / Linux	Limited	Strong	No
Dynobase	$199 once / $9·mo	macOS / Win / Linux	Strong	Partial	No (PartiQL only)
Dynomate	$199 once	macOS / Win / Linux	Strong	No	No (PartiQL only)
DocKit	Free (OSS)	macOS / Win / Linux	Strong	No	No (PartiQL only)
TablePlus	—	—	Beta (view/filter)	No	No
DataGrip	Paid IDE	macOS / Win / Linux	Viewer + PartiQL	No	No (PartiQL only)
dynamodb-admin	Free (OSS)	Any (Node)	Local only	No	No
DynamoIt	Free (OSS)	Any (JVM)	Basic	No	No
DynoTable	See pricing	macOS / Win / Linux	Strong	No	Yes (SQL Workbench)

Pricing and version claims are dated 2026-07-14; re-check the vendor pages before
relying on them.

What is the best DynamoDB GUI client?

There isn't one universal answer — it depends on the job. NoSQL Workbench is the
best free modeling tool, Dynobase is the most feature-complete commercial client,
Dynomate is the maintained pick for Git-shareable query collections, DocKit is the
best free option if you also work across Elasticsearch or MongoDB, dynamodb-admin is
the standard for local development, and DynoTable adds a SQL Workbench that runs
JOINs, GROUP BY, and aggregates that DynamoDB's own PartiQL can't. Start from the
work you do most — design, daily data ops, or analytics — and the choice usually
makes itself.

Is there a free DynamoDB GUI?

Yes. AWS NoSQL Workbench is free and cross-platform (and the safest "official"
choice); DocKit is free, open-source, and a genuine live-data client (across several
datastores, not just DynamoDB); and dynamodb-admin and DynamoIt are free and
open-source for local work. The catch: dynamodb-admin and DynamoIt are aimed at local
development, NoSQL Workbench is a modeling tool rather than a live-data daily driver,
and none of the free options run cross-table JOIN/GROUP BY/aggregates — they query
DynamoDB through single-table PartiQL. For that relational-shaped work, the paid SQL
Workbench earns its keep.

What's a good DynamoDB GUI for Mac, Windows, or Docker?

All the desktop clients here are cross-platform (macOS, Windows, Linux) —
NoSQL Workbench, Dynobase, DataGrip, and DynoTable all ship for Apple Silicon Macs
and Windows. For Docker-based local setups, dynamodb-admin is the usual pick: it
runs against the amazon/dynamodb-local container by pointing
--dynamo-endpoint at the exposed port. DynoTable and Dynobase also connect to a
local endpoint, including LocalStack.

Can TablePlus or DataGrip connect to DynamoDB?

TablePlus added an undocumented DynamoDB connector in 2025 — you can view tables
and filter items, but there's no PartiQL/SQL editor and DynamoDB isn't in
TablePlus's official docs. DataGrip added DynamoDB support in 2023.3 as a data
viewer with key/index introspection plus a PartiQL editor, but it's not a
DynamoDB-native modeling or query-planning tool — it inherits PartiQL's limits
and can't JOIN, group, or aggregate across tables.

Can a GUI run real SQL (JOINs and aggregates) against DynamoDB?

Not through PartiQL — DynamoDB's PartiQL SELECT has no JOIN, GROUP BY, or
aggregate functions, so any client that "supports SQL" via PartiQL (Dynobase,
DataGrip) hits the same wall. A tool has to compile those into DynamoDB's
Query/Scan operations itself; DynoTable's SQL Workbench is built to do exactly
that. If you only need to assemble the raw filter/key conditions for a single API
call, the DynamoDB Expression Builder
generates the correct FilterExpression / KeyConditionExpression without any SQL
surface at all.

Do I still need a GUI if I have the AWS Console?

Many people switch precisely because of the Console's limits — weak filtering,
clumsy pagination, and no real export. A purpose-built GUI adds fast filtering,
inline editing, query/scan building with cost visibility, and one-click export. If
your pain is Console-specific, that's a feature-by-feature gap a native client
closes.

Related

• Concepts the right tool should make easy: query vs scan, single-table design, and the PartiQL vs SQL gap that the SQL Workbench fills (with worked PartiQL examples).
• Free tools that run in your browser, no install: the DynamoDB JSON converter and the Expression Builder.
• Head-to-head pages: DynamoDB GUI client overview, Dynobase, Dynomate, NoSQL Workbench, DataGrip, and TablePlus.
• Download DynoTable and run a JOIN against your own tables.

Last verified 2026-07-14. Product names are trademarks of their respective owners;
referenced here for identification only.