Dynomate
DynamoDB, Athena, and Aurora DSQL in one desktop appv2.1.0

The Dynamodb GUI client AWS should have built

Dynomate is an AWS-native GUI client for DynamoDB. Query, update, import, export and save your Dynamodb data. Supports localstack and dynamodb local.

Download for freeWatch the walkthrough
Available onmacOSWindowsLinux
Dynomate table view of an Orders table with three staged edits, the tables of an AWS profile and the Logs panel
3 staged edits

Used by engineering teams at

VercelinDriveScyllaDB

Built for AWS

Dynomate is built around the AWS accounts, profiles, regions, and local environments developers already use.

Flexible AWS authentication

Use the same AWS configuration as your CLI and SDKs. Credentials stay in the AWS tooling and files you already manage.

  • Sign in through AWS IAM Identity Center or an existing SSO session.
  • Sign in to AWS Login profiles in your browser or with a code.
  • Complete MFA challenges without copying credentials into Dynomate.
  • Follow role chains for cross-account access.
  • Connect to DynamoDB Local through a custom endpoint.
  • Connect to LocalStack through a custom endpoint.
View AWS connection guidesSet up local DynamoDB

Work across accounts, regions, and tables

Find any table

Search for a DynamoDB table across connected accounts and regions, then open it without navigating each AWS console separately.

Keep each table in its own tab

Open multiple profiles, regions, and tables at the same time. Every tab retains its own AWS and table context.

Explore multi-session workflows

A practical DynamoDB GUI client

Browse, query, edit, import, and export DynamoDB data from one developer-friendly workspace.

Query and view data

  • Query a table, GSI, or LSI from the current table context.
  • Build filters with attribute autocomplete.
  • Inspect results in a spreadsheet-like table.
  • Open the selected item in the dockable JSON inspector.
  • Switch the loaded result set between table and JSON views.
Dynomate filter builder suggesting DynamoDB attributes for an index-aware query
Filter suggestions come from the attributes in the current table.

Edit data safely

  1. Edit

    Edit values inline in the table or edit the selected item in the JSON inspector.

  2. Stage

    Collect writes, deletes, and key changes before anything is committed.

  3. Review

    Review the complete change set before applying it.

  4. Commit

    Apply the confirmed change set to DynamoDB.

Dynomate inline DynamoDB value editor in the table view
Dynomate review dialog listing staged DynamoDB item changes

Add and import data

  • Paste JSON directly.
  • Choose a JSON or CSV file.
  • Import objects from Amazon S3.
  • Copy items from another DynamoDB table, including one reached through another AWS profile.
  • Validate keys and choose how matching items are handled before the import starts.
Dynomate import dialog with JSON, CSV, Amazon S3, and DynamoDB table sources
Source and destination tables can use different AWS profiles.

Export and query snapshots

  • Export the current result set to CSV or JSON.
  • Run a background full-table export with progress and persistent history.
  • Create a timestamped local DynamoDB snapshot.
  • Query and compare local snapshots with SQL after the initial DynamoDB scan completes.

Creating or refreshing a snapshot scans DynamoDB once. Subsequent SQL queries run against the local copy.

Dynomate export menu for CSV, JSON, and local query snapshots

More than the console allows

Build repeatable DynamoDB operations and keep them with the code they support.

Run repeatable DynamoDB workflows

Build request collections that run query, put, update, and delete operations in sequence or in parallel. Pass values from an earlier result into a later request and switch AWS context with environments.

Share request collections through Git

Dynomate stores request collections as local text files and folders. Keep them beside the application code, then use your existing Git workflow to review changes, track history, and share them with the team.

Explore request collectionsRead the request collections guide
Dynomate request collection with sequential and parallel DynamoDB operations
Each collection stays readable as local files and folders.

Other AWS databases

Use the same Dynomate workspace and AWS profiles for Amazon Athena and Amazon Aurora DSQL.

  • Available now

    Amazon Athena

    Browse Athena catalogs, databases, and tables. Write SQL or build a query with guided filters, choose a workgroup and S3 output location, cancel running queries, and export results to CSV or JSON.

    Read the Athena release notes

  • Available now

    Amazon Aurora DSQL

    Discover clusters with your AWS profiles and connect with IAM authentication tokens, through the public endpoint or AWS PrivateLink. Run SQL in a console, filter and edit table rows, and read the schema and DDL of each table. Save Aurora DSQL operations in requests, and run them in the app or with the Dynomate CLI.

    Read the Aurora DSQL guideRead the 2.1.0 release notes
    Dynomate Aurora DSQL console with a SELECT result, the cluster tables in the sidebar and the connection in the title bar
    The console shows a result for each statement, and the sidebar shows the tables of the connection.

FROM THE FIELD

We used Dynobase for years, but as the product stopped being actively maintained and support requests went unanswered, we needed a reliable alternative. We now use Dynomate, and it stands out for its responsiveness and how quickly the team addresses our requirements. The level of care for product quality and customer support is something we have not experienced elsewhere. As we continue using Dynomate across different use cases, it is clear this is a product we can rely on long term.

Matt Valley

Matt Valley

Founder at Testfully

What changed in Dynomate

Read about new DynamoDB, Athena, and Aurora DSQL workflows, fixes, and maintenance before you update.

VersionChangeDate
v2.1.0Aurora DSQL Clusters and Connectionsfeature
v2.1.0SQL Console for Aurora DSQLfeature
v2.1.0Filter and Edit Table Rowsfeature
v2.1.0Table Schema and DDLfeature
v2.1.0Aurora DSQL Operations in Requests and the CLIfeature
v2.1.0Update the CLI and the App Togetherbreaking
v2.0.023 DynamoDB and Athena Operationsfeature
v2.0.0DNML Request Filesfeature
View the complete changelog

DOWNLOAD

Connect your first table in Dynomate.

Built with feedback from AWS developers. Install Dynomate on macOS, Windows, or Linux, then open an AWS profile or DynamoDB Local endpoint.

Download for freeView pricing plans