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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 review volume and average rating by location over the last 30 days.
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 Glassdoor Review and add MySQL as the stored destination. Create a datastream, then save a job that sends the required records to the "locations" table.
Select concrete Glassdoor Review fields such as Business Outlook Rating, Career Opportunities Rating, CEO Rating, and Day of the year. You can rename the chosen columns, preview the result, and write them to MySQL tables such as review sources, locations, and reviews.
Choose how far back the first Glassdoor Review load should go and how much recent data each "locations" run should refresh. Catchr splits large backfills into smaller intervals.
For recurring Glassdoor Review loads, assign an eligible partition field to "locations". Otherwise Catchr cannot match the refresh window and will append the returned records.
With Glassdoor Review data, a MySQL query can summarize review volume and average rating by location over the last 30 days. Join Business Outlook Rating and Career Opportunities Rating 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.