Connect Capterra Review to Azure SQL

Create the Capterra Review source, then register Azure SQL with its server host, database name, username, and password. Link both through a datastream and target the "reviewers" table in the job.

Select concrete Capterra Review fields such as Customer Service Rating, Ease of Use Rating, Functionality Rating, and Day of the year. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as review sources, locations, and reviews.

Configure the initial Capterra Review period separately from the recurring schedule for "reviewers". The source API determines how much history is available.

Choose an eligible date field as the partition for Capterra Review. Catchr can then replace the matching period in "reviewers"; without it, later runs append rows and may create duplicates.

With Capterra Review data, an Azure SQL query can summarize review volume and average rating by location over the last 30 days. Use Customer Service Rating and Ease of Use Rating in an Azure SQL view to create a reusable reporting layer for client analysis.

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.