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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Add your Airtable personal access token, choose a discovered Base / Table pair, enter your Snowflake connection details, and select the columns to load through a datastream.
You can select fields from the Airtable table available to your token, including scalar values and date dimensions such as Date, Year month, Week of the year, and Hour of the day.
Catchr preserves linked records, attachments, and multi-select arrays as JSON strings, while scalar numeric, boolean, and date-like fields retain suitable native types for reporting.
Catchr maps dynamically discovered columns with Airtable field IDs, helping the mapping remain stable when a field’s display name changes.
Agencies can centralize selected Airtable records in Snowflake, then query fields and date dimensions repeatedly for client dashboards, operational reporting, and recurring analysis.
Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.
Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.
Our teams is always here to responds to any question you could have about our data connector.
Connect your marketing platforms and build a data workflow your entire agency can use.