Sync data from
Microsoft SQL Server to Gladly
Connect your data from Microsoft SQL Server to Gladly with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Microsoft SQL Server, and 140+ destinations, like Gladly.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Gladly, and start syncing.
Model your Microsoft SQL Server data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Create and Edit SQL from your browser. Hightouch supports SQL native to Microsoft SQL Server.
Select available tables and sheets from Microsoft SQL Server and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Microsoft SQL Server using our visual segmentation builder.
Sync customer and task data with Gladly to enable agents to quickly access customer information
About Microsoft SQL Server
SQL Server is a relational database management system, or RDBMS, developed and marketed by Microsoft.Learn more about Microsoft SQL Server
Learn more about Gladly
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What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.Read
Activate data to any of your marketing and advertising tools
This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
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Your data is always secure
SOC 2 Type 2 compliant
Your data stays secure, available, and confidential. To see our report, .
If you’re in the EU, your data is only processed on EU data centers.
Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.
To see our DPA (Data Processing Addendum), .
increase in return on ad spend
improvement in email engagement
lift in customer acquisition