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, such as orders, listings, advertising, or inventory. These tables are 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. This is the same data used by your exports, the REST API, MCP, and the BigQuery integration.
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 do not use to keep your row count and cost down.
How to manage your 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 that table, 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.
How long is data kept?
By default, DataDoe keeps your data forever. You can set a shorter retention period per table in Settings > Data: 6, 12, 18, or 24 months. When a table has a retention period, DataDoe automatically removes rows older than that, which keeps its row count, and your bill, steady even as new data keeps arriving. Retention is one of the main levers you have over your data-row usage and cost.
Is there a 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.
The Cost of Goods Sold (COGS) table is user-managed: you populate it by uploading a CSV file, not by enabling a fetch toggle. See Uploading COGS for the file format and other instructions.
How does this affect billing?
Tables marked for row 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.