Export from Amazon Ads to any destination

CloudQuery is an open-source, self-hosted ELT platform that allows you to extract data from any source into any destination. It requires no account and imposes no limits on rows.

The CloudQuery Amazon Ads plugin allows you to sync data from Amazon Ads to any supported CloudQuery destination, including PostgreSQL, MySQL, S3, Snowflake, BigQuery, and many more. It is currently available for pre-order.

Standard License

For internal use in one organization

$250

USD. Perpetual fallback license.

  • Unlimited: No usage-based billing or row restrictions.
  • Updates: 6 months of support and updates included.
  • Pre-order Discount: Normal price $500 (50% pre-order discount)
  • Peace of Mind Guarantee: 14-day money-back guarantee

Extended License

For use in customer-facing products

$1250

USD. Perpetual fallback license.

  • Unlimited: No usage-based billing or row restrictions.
  • Updates: 6 months of support and updates included.
  • Pre-order Discount: Normal price $2500 (50% pre-order discount)
  • Peace of Mind Guarantee: 14-day money-back guarantee

FAQ

What is the difference between the standard and extended license?

The standard license is for use in internal products, such as dashboards, internal cloud inventory tools, or other products that are not customer-facing. The extended license is for use of the data in customer-facing products, such as SaaS applications or security products.

What is a perpetual fallback license?

A perpetual fallback license is a license that allows you to use the plugin in perpetuity, even if you stop paying for updates. The license will never expire, but you will not receive updates after your license expires. You will have access to all new versions of the plugin published up to the date your license expires.

What tables and columns will be included?

The tables in the first version will be closely modeled around the endpoints available in the official Amazon Ads API. After initial release you will also be able to request more tables and columns as part of the included support.