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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.
This example summarizes pipeline value, created deals, won deals, and win rate by owner.
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 AzureSQL setup, available source data, schedules, table updates, and SQL use cases.
Connect Hubspot and add Azure SQL as the stored destination. Create a datastream, then save a job that sends the required records to the "leads" table.
Select concrete Hubspot fields such as Company Days to Close, Company Annual Revenue Currency Code, Contact Days To Close, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, contacts, and companies.
Choose how far back the first Hubspot load should go and how much recent data each "leads" run should refresh. Catchr splits large backfills into smaller intervals.
For recurring Hubspot loads, assign an eligible partition field to "leads". Otherwise Catchr cannot match the refresh window and will append the returned records.
With Hubspot data, an Azure SQL query can summarize pipeline value, created deals, won deals, and win rate by owner. Join Company Days to Close and Company Annual Revenue Currency Code with shared account or date keys to build a reusable performance model in Azure SQL.
Yes. Connect an existing Azure SQL 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.