DynamoDB Streams
See inserts, modifications, and removals. Inspect available old and new item images and navigate the retained stream history.

From inferred access patterns to query results and reviewable edits, Dynomatic keeps your DynamoDB workflow connected in one native desktop app.
Full-featured 14-day trial. No signup or payment details required to start.
Understand

Investigate

Operate

The workflow
A console tab, a CLI window, a script you keep re-running, and a spreadsheet just to inspect the results. Dynomatic brings the everyday DynamoDB workflow into one workspace.
The DynamoDB client forvisual queries
Opens its feature pageUnderstand
Single-table designs can hide a lot of structure in their keys. Dynomatic examines observed items to infer entities, collections, relationships, and access patterns, with evidence you can inspect. Pick a pattern and turn it into a query.
Investigate
Watch what changes in your DynamoDB table, inspect the attributes that changed, and review the operations Dynomatic recorded. Understand what happened before deciding what to do next.
See inserts, modifications, and removals. Inspect available old and new item images and navigate the retained stream history.
Review recorded commands and item changes. For eligible changes, check whether Undo can safely restore earlier values.
Operate
Make deliberate changes to DynamoDB data, from editing individual items to working across selections and tables. Review pending edits, copy items between connected accounts, and track longer operations without losing your place.
Built for production
Production should look different. Dynomatic makes environment classifications visible across the interface and adds safeguards where the cost of a mistake is higher, from read defaults to write confirmations.
On trial and paid plans and in Sample Mode, auto-scan is off by default for production tables, so the grid stays empty until you run a query or scan. You can turn it on per table.
AI & automation
Connect your coding agent to Dynomatic's existing AWS profiles and sessions. Control what it can access, require approval where appropriate, and keep sensitive operations subject to the safeguards you configure.
MCP permissions add to AWS IAM and your current credentials. They never replace them. A table with no classification is treated as Production.
Explore the MCP serverAgent
Claude Code calls update_item on UniversitySingleTable, through the AWS profile and session Dynomatic already uses.
Permission
update_item needs Write items. In this Custom grid, Write items is set to Ask in Production. No preset uses Ask; you choose where it applies.
Outcome
The call waits in Dynomatic for your answer, for up to two minutes. A declined call returns to the agent as declined, and nothing is written.
Try it without AWS
Open Dynomatic with ready-to-use sample data. Explore single-table models, run queries, inspect Streams, and try editing in a local workspace without configuring AWS credentials.
Start from the welcome screen, with no AWS connection.
Nine sample tables load into a local database. It usually takes about 10 seconds.
The Sample pill in the status bar marks the session.
Security & data
Dynomatic works with your existing AWS profiles and connects directly to your configured endpoints. Managed secrets are protected locally, while scripts, agent access, and optional AI integrations have explicit security boundaries.
Existing AWS profiles read in place; managed secrets in OS keychain or encrypted local fallback.
AWS calls through configured credentials and endpoints, rather than a Dynomatic-hosted DynamoDB proxy.
Sandboxed scripts, constrained MCP operations, explicit consent when configured AI providers process applicable data.
From the builder
I built Dynomatic because my DynamoDB workflow was scattered across the console, CLI, and tools that never quite fit. I wanted a native app that made the work clearer and safer. I use it in my own development work, and that experience shapes what gets improved next.
Read the full story →
Download Dynomatic and start exploring. Try the full product for 14 days, or open Sample Mode without connecting an AWS account.
No signup or payment details required to begin.