NoSQL Workbench vs Dynobase
NoSQL Workbench supports data modeling, access-pattern validation, and live operations. Dynobase combines its own Single-Table Designer with a desktop workspace for bulk edits, item diffs, parameterized favorites, and scheduled local exports. Both run on macOS, Windows, and Linux.
Watch the workflow demo (earlier interface)
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Edit cells and review pending writes
Edit an attribute inline or use the JSON item editor, then review and save pending changes. Dynobase checks the loaded item before saving to detect concurrent edits.
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Work across tabs and copy selected items
Keep tables from different profiles and Regions open in separate tabs. Copy selected items to another table with destination key mapping and skip-or-overwrite conflict handling.
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Inspect schemas and control scans
Explore observed data shapes, stage nested JSON-path filters, and inspect incomplete results. Pause and resume scans rather than assuming every visible result set covers the whole table.
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Use existing AWS profiles
Connect with AWS CLI profiles, IAM Identity Center (SSO), assumed roles, and MFA. Dynobase prompts for authentication when a session expires; it does not bypass IAM permissions.
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Transform results with JavaScript
Filter, map, or aggregate loaded rows in Terminal. The transformed grid is read-only, but explicit calls through the database helper can change items in the table.
Inspect item history and diffs
Review recorded item changes and compare before-and-after values. Visual diffs distinguish nested changes, missing attributes, nulls, and DynamoDB sets.
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Import, export, and schedule local copies
Import CSV or JSON into existing tables, export loaded results or a whole table, and schedule local exports while Dynobase runs. Managed S3 exports require PITR. NoSQL Workbench also supports data import and export.
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Reuse queries and exchange models
Use raw request parameters, PartiQL, or visual filters, then save parameterized favorites. Dynobase also imports and exports NoSQL Workbench 3.x model files; review the model after transfer.
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NoSQL Workbench is maintained by AWS. Its data modeler validates access patterns, and its operation builder queries live data, generates code, and clones tables. These are shared capabilities, not Dynobase-only features. Read the AWS Workbench documentation. Screenshots here show an earlier Dynobase interface. Explore more Dynobase features.
I love using Dynobase to explore my tables with a native app rather than going to the AWS console in my browser.
One of my favorite features is the ability to save common queries for simple use later. As you're implementing your data model, I recommend saving queries for each of your application's access patterns to make it easy to debug collections of items later on.
Dynobase聽is quickly becoming an essential part of working聽with DynamoDB.
Alex DeBrie, AWS Data Hero
Author of DynamoDBBook.com and DynamoDBGuide.com
Dynobase is by far the most intuitive UI tool I've used for DynamoDB, it's leaps and bounds better than the AWS console and makes it really easy to manage DynamoDB tables in a multi-region, multi-account environment.
It's made my life so much easier and allowed me to focus on the things that actually matter聽to my clients.
Yan Cui, AWS Serverless Hero
Author of Production-Ready Serverless, Developer Advocate at Lumigo
There are two amazing things about Dynobase.
The first is that it took so long for such a great DynamoDB client to finally arrive and the second is that it was so worth the wait.
Erik Peterson
Founder & CTO of CloudZero
Endorsed by AWS community
Endorsed by AWS Community
This will be my default modeling tool from now on. Nice job Rafal.
5:14 am 路 24 Sep 2021
I am FINALLY setting time aside to check out @dynobase!!
Awesome stuff so far: the capacity consumption feedback, and the configurable maximums around paginated reads and page sizes.
Strong work @rafalwilinski 馃挭
As a public service announcement, if you use DynamoDB and you haven't tried Dynobase (https://dynobase.dev)... you should.
1:27 AM 路 Jan 15, 2020
"Well done! I use Dynobase everyday. Happy customer! 馃挭
3:23 PM 路 Apr 10, 2020
Two things every DynamoDB fan should have.
@alexdebrie's http://DynamoDBBook.com and @rafalwilinski @dynobase client
I was given a license for @dynobase a little while ago, and it's quickly crept into my dev workflow. So much easier to interact with DynamoDB, over the AWS console. I would say if you work with DynamoDB it's a must have tool.
1:55 PM 路 Jul 13, 2020
As a frontend developer, I used to be straight up _scared_ of databases 馃槺
Things changed when I started using AWS DynamoDB at work but as awesome as it is - the DynamoDB Web Console is not perfect
@dynobase makes DynamoDB *much* easier to work with 馃コ
If you are interested in a great #DynamoDB client, this one is fantastic.
And no, I am not forsaking #NoSQL Workbench. I just really like the work that the Dynobase team does and they make a great product.
Dynobase is a Professional GUI Client for DynamoDB
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