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Join marketing, finance, CRM, and product data inside the same warehouse.
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Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your MySQL table.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about MySQL setup, available source data, schedules, table updates, and SQL use cases.
Add your Airtable personal access token, choose a discovered Base / Table pair, save the MySQL connection details, and pair both systems in a datastream. You can then preview selected fields and write them to a MySQL table.
Catchr dynamically discovers fields from the selected Airtable base and table. Choose and rename the columns you need, preview the result, and write that schema to MySQL; mappings use Airtable field IDs, so changing a display name does not change the source reference.
Linked records, attachments, and multi-select arrays are preserved as JSON strings, while scalar numeric, boolean, and date-like fields retain their appropriate types for clearer MySQL queries.
An Airtable job can begin with a historical fetch and continue on a recurring schedule, subject to the source API and your plan. When a valid date field is selected, Catchr deletes and rewrites the scheduled window to limit duplicate rows.
Agencies can query selected Airtable records alongside other data in MySQL and create reusable views for analysts, dashboards, and reporting tools without repeatedly preparing the same source export.
Yes. Connect an existing MySQL 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 accounts, choose the fields, then schedule the data your team needs in MySQL.