SQL Server
This section explains how to create and test an SQL Server data source in DataDios.
Steps to Create and Test an SQL Server Data Source
Step 1: Create a Data Source
- Navigate to the DataSources tab in DataDios
- Click + CREATE DS
- From the list of available data source types, select SQL Server
- select the SQLServer from list

- select the SQLServer from list
Step 2: Fill Connection Details
In the Connection Details form, provide the required parameters:
-
Group: Optional grouping for data sources
-
Host: SQL Server host or IP address
-
Port: SQL Server port (default:
1433) -
Service Type: Select
on-premorcloud -
Username: SQL Server login username
-
Password: SQL Server login password
-
Database Name: Name of the database to connect to
-
Schema: Enter the schema you want to connect to
-
Object Types: Choose whether to fetch
tables,views, or both -
Version: Specify the SQL Server version if supported; otherwise, leave blank
-
Schedule Sync: Required for metadata timeline synchronization (Metadata Sync)
-
Secret Name: Optional, if your database password is stored in a key store such as AWS or Azure
-
JSON Structure
{
"group": "",
"host": "198.168.1.1",
"port": "1433",
"service_type": "",
"username": "sql-admin",
"database": "QuickStart",
"schema": "diff_test",
"object_types": "",
"password": "Admin@123"
}
Step 3: Test Connection
-
After entering the details, click Test Connection
-
If the connection is valid, the system will confirm the connection status

Step 4: Save Data Source
- If the test is successful, click Create to save the data source
- You will be redirected to the Datasource Listing Page, where your SQL Server data source will appear
Step 5: Explore Data Source Items
-
Click on the SQL Server data source to view all items, including tables and views

-
To view metadata about any item:
- Click the item name
- Click the three stacked lines icon to open the Object Metadata pop-up
3. You can also explore additional features in the Metadata Explorer:-
Object Data
- View the actual data present in the selected resource (e.g., table rows or file details)
-
Graphs
- Visualize dependencies and relationships across schemas
- See how the item is connected to databases or other schema objects
-
Data Quality Rules
- Review applied data quality rules and scores
- For detailed information, refer to the Data Quality documentation