Amazon Marketing Cloud and Google Ads Data Hub compared
In short: Both are privacy-oriented environments in which you join your own data with the advertising vendor's event data and receive only aggregated results. AMC works with Amazon signals and SQL, Ads Data Hub joins your data in BigQuery with Google events. Both offer a synthetic dataset for testing.
Comparison table
| Amazon Marketing Cloud | Google Ads Data Hub | |
|---|---|---|
| Core idea | Secure, privacy-safe cloud clean room with your own queries over pseudonymised signals | Upload your own data to BigQuery and join it with Google event-level data |
| Results | Aggregated; rows below the thresholds are filtered | Aggregated over a group of users; rows can be filtered without warning |
| Privacy checks | Aggregation thresholds per field (NONE to VERY_HIGH) | Privacy checks, some comparing against earlier results |
| Test environment | Sandbox with synthetic data | Sandbox dataset with synthetic data, not subject to privacy checks |
| Audiences | Custom audiences from queries for activation in Amazon DSP and sponsored ads | Not stated in the marketers' description; not compared on this page |
| Data location | Not compared on this page | Australia, Europe (excluding London and Zurich), Japan, United States |
What we do not compare
We have not verified costs, detailed feature scope and audience activation of Ads Data Hub from the vendor sources and therefore do not state them. The table relies on the descriptions on Amazon's AMC overview page and on Google's Ads Data Hub for Marketers page. Google's older developer documentation itself notes that it may be incomplete.