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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
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.
This example summarizes revenue, orders, units sold, and average order value by sales channel.
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.
Connect Magento and add MySQL as the stored destination. Create a datastream, then save a job that sends the required records to the "orders" table.
Build the Magento schema from available records such as stores, customers, products, and product variants, plus the supported account and date dimensions. Preview the selected columns before the MySQL job is saved.
Choose how far back the first Magento load should go and how much recent data each "orders" run should refresh. Catchr splits large backfills into smaller intervals.
For recurring Magento loads, assign an eligible partition field to "orders". Otherwise Catchr cannot match the refresh window and will append the returned records.
With Magento data, a MySQL query can summarize revenue, orders, units sold, and average order value by sales channel. Join stores and customers with shared account or date keys to build a reusable performance model in MySQL.
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.