Quick start
A five-minute tour: connect to an AWS account, open a table, run a filtered scan, fix a value inline and export the result.
1. Connect to an account
- Pick a region and profile
On the Quick Connect tab, choose your AWS Region, type the name of a profile from
~/.aws/credentialsin AWS Profile (or leavedefault), and optionally tag the connection with an Environment such as Dev or Prod. - Save it for next time
Tick Save this connection and give it a name like “Staging — eu-west-1”. It will appear under Saved Profiles for one-click reconnects.
- Connect
Click Connect to DynamoDB. DynamoOps validates the connection with a lightweight
ListTablescall, then shows your tables in the sidebar.
2. Open a table
Press ⌘+K to focus the sidebar search, type part of a table name and click it. The table opens in a new tab and DynamoOps immediately runs a Scan of the first 50 items. The info bar above the grid shows the item count, partition and sort key, and any secondary indexes.
Open as many tables as you like. Each tab remembers its own query, filters, page and view mode. Switch tabs with ⌘+] and ⌘+[.
3. Run a filtered query
Click ⚙ Filters to reveal the query panel. In Scan mode, type a DynamoDB filter expression and its attribute values, then press ⌘+↵.
attribute_exists(email) AND #status = :active{"#status": "status"}
{":active": "active"}Prefer SQL? Switch to SQL mode and start typing. Autocomplete suggests table names after FROM, attributes after WHERE, and operators after an attribute. The result bar reports how many items were returned, how many were scanned, the consumed RCU and the elapsed time.
4. Fix a value inline
Double-click any cell in the table view, change the value and press ↵. DynamoOps writes an UpdateItem for that single attribute and stores the previous version locally so you can diff or restore it later from the 🕐 history button on the row.
5. Export what you see
Click ⬇ JSON or ⬇ CSV. Choose which fields to include, or tick Export entire table to let DynamoOps page through every item behind your current query. The file is saved as <table>_data.json or <table>_data.csv.
That is the whole loop. From here, explore the feature guides in the sidebar for the details behind every button, or keep the keyboard shortcuts at hand.