You can now view and modify the contents of your DynamoDB tables from within the AWS Management Console. With the addition of this new feature, you can learn by doing -- trying out a number of DynamoDB features without even writing any code. You can create a table, add some items, and see them in the table, all through a very clean and simple user interface.
You can also use this feature to browse through your production data. You can access the data for reporting or analytic purposes, again without having to write any code.
Here's a tour to help you get started:
Select a table and click Explore Table:

You can scan through the table, ten items at a time, using the button controls:


You can also retrieve items by hash or range keys, as appropriate:

Last but not least, you can put new items. Since DynamoDB doesn't use a database schema, you have full control of the attributes associated with each item:

You can specify the type of each attribute:

Editing sets of strings or numbers is easy and straightforward:

-- Jeff;


Nice addition =)
Posted by: Laurent Raufaste | May 22, 2012 at 03:20 PM
There is a scan option, when used it consumes the table throughput?
Posted by: Rodrigo Ribeiro | May 22, 2012 at 03:22 PM
That is very nice! It would be great if you could sort the table by a Column :)
Posted by: BK | May 23, 2012 at 01:32 AM
Great feature and very useful. Eliminates the need to create management tools for basic operations on your data. Looks like one little improvement would help a bunch. While there is no 'edit' for an item there is a put with replace option. The problem is you would have to re-type every key/value for the existing entry to overwrite it.
There is a 'delete' button when you are viewing an item. I wonder if you could add an 'edit' button there as well? This would allow pre-population of all key/values. A user could edit the individual fields needed and the others would be pre-populated. Then the user could put/overwrite the existing entry.
Seems like it would be a minor change and a major benefit.
Cheers.
Posted by: John Hayward | May 23, 2012 at 07:19 AM
An export function would be amazing as well. Would be great to just get a csv with all the data in the table.
Posted by: David Jackson | May 23, 2012 at 07:47 AM