What are data tables?
DataDoe organizes your Amazon data into tables. Each table is a clean, ready-to-use view of one part of your business - orders, listings, advertising, inventory, and more - built from the raw Seller Central, Vendor Central, and Amazon Ads sources DataDoe collects.
You choose which tables DataDoe collects for your organization. Enabled tables feed your data layer, the same data your exports, the REST API, MCP, and the BigQuery integration read from.
Why manage your tables?
Two reasons: transparency and cost.
- See what you collect. Know exactly which data DataDoe stores for you, with a row count per table.
- Control what you pay for. Most tables count toward your row billing. Turn off the tables you don't use to keep your row count, and your cost, down.
How to manage tables
- Open Settings > Data.
- Use the marketplace tabs to switch between Amazon Seller Central, Amazon Vendor Central, and Amazon Ads.
- Each table shows its current row count and the raw sources it is built from.
- Use the toggle to enable or disable a table. Disabling a table tells DataDoe to stop collecting it, so its rows no longer count toward your bill.
The Data layer summary at the top of the page shows how many tables are enabled and your total billed rows across all accounts.
Default dataset
Some tables are part of the default dataset. They are always on and cannot be disabled, so the core of your data layer is always available.
How this affects billing
Tables marked for row count billing add their stored rows to your data row usage. For details on row limits and pricing, see Subscription & Pricing. To learn where the underlying data comes from, see Data Sources.