Send selected fields from 100+ advertising, analytics, CRM, ecommerce, email, and social platforms to your Amazon Redshift database. Configure the history once, then keep each table updated on your chosen schedule.













Bring data from Meta Ads, Google Ads, LinkedIn Ads, GA4, Shopify, HubSpot, and dozens of other platforms into a single Amazon Redshift warehouse.
Catchr handles extraction, normalization, and loading automatically.
Query every marketing channel from one place. Create attribution models, combine advertising with CRM or ecommerce data, and answer questions that individual marketing platforms cannot.
Use your centralized marketing data wherever your team works. Connect Power BI, Tableau, notebooks, AI agents, or your own internal applications without rebuilding integrations for every tool.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Add the Amazon Redshift destination once, then configure the accounts, fields, historical window, table, and schedule for each export job.
Authenticate all the platforms used, then choose the exact accounts your team needs for reporting and analysis.
Enter the Redshift host, database, and credentials that Catchr should use. The connection is checked before the destination is saved.
Select the marketing fields and historical window for the job, name the destination table, then choose when Catchr should refresh it.
What our customers say about us.
After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.

With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Practical answers about credentials, schedules, history, tables, and the boundary between the connector and your warehouse.
An Amazon Redshift connector moves data from another platform into your Redshift database. Catchr connects marketing sources, lets you select available fields and an initial historical window, and updates the destination on a recurring schedule.
You need the Host, Username, Password, and Database for the Amazon Redshift destination. Your administrator must also allow the connection and grant the credentials permission to write to the intended database objects.
Choose from the recurring schedules available for the export job, from frequent intervals through daily, weekly, or monthly schedules. The source API can report or revise data on its own timeline, so a frequent job does not make the source itself real-time.
Yes. During setup, configure the initial import period supported by the source. Catchr processes that selected window before keeping the destination updated on the recurring schedule. Available history depends on the source API and your configuration.
No. Catchr delivers the selected source data to the configured destination. Your team controls the Redshift cluster or workgroup, network access, users, permissions, capacity, and downstream warehouse administration.
No. Catchr delivers selected source data to the destination. Your team controls SQL, views, joins, dbt models, business definitions, and the BI tools that query Amazon Redshift.
Use a native integration when it supports the exact source, schema, and setup you need. Catchr is useful when you want one no-code workflow across a broader set of marketing platforms, with account selection, available field configuration, and scheduled exports in the same product.
Our teams is always here to responds to any question you could have about our data connector.
Connect a source, add your Amazon Redshift destination, and configure the accounts, fields, history, and schedule that belong in the job.