Data Center
  • Data Center
    • Homepage
    • Data Connectors
      • Create Data Connector
      • Data Connector List
        • Edit Data Connectors
        • Create Option
        • Reconnecting to a Data Connector
        • Sharing a Data Connector
        • Delete a Data Connector
      • Supported Data Connectors
        • Database Connectors
          • MySQL
          • MSSQL
          • Elastic (Beta Release)
          • Oracle
          • ClickHouse
          • Athena
          • Arango DB
          • Hive
          • Cassandra
          • MongoDB
          • MongoDB for BI
          • PostgreSQL
          • Snowflake
        • File Data Connector
        • API Connectors
          • API Connector
          • Amazon
          • App Store
          • Bing Ads
          • Dropbox
          • FTP Server
          • Facebook
          • Facebook Ads
          • Firebase DB
          • Fitbit
          • Flipkart
          • Google AdWords
          • Google Analytics
          • Google Big Query
          • Google Forms
          • Google Sheet
          • HubSpot
          • Jira
          • Lead Squared
          • Linkedin
          • Linkedin Ads
          • MS Dynamics
          • Mailchimp
          • QuickBooks
          • SalesForce
          • ServiceNow
          • Twitter
          • Twitter Ads
          • Yelp
          • YouTube
          • ZOHO Books
        • Others
          • MS Sql Olap
          • Data Store
          • OData
          • Spark SQL
          • AWS Redshift
          • SAP HANA
    • Data Sets
      • Creating a New Data Set
        • Creating a New Data Set using RDBMS Connector
        • Creating a Data Set using Arango DB Connector
        • Creating a Data Set using an API Connector
        • Creating a New FTP Data Set
        • Creating a Data Set based on an Elastic Connector
      • Data Set List
        • View Options: Data Sets List Page
        • Data Set List: Actions
          • Editing a Data Set
          • Sharing a Data Set
          • Publishing a Data Set
          • Push to VCS
          • Pull from VCS
          • Deleting a Data Set
          • Data Preparation
    • Data Stores
      • Creating a New Data Store
        • Data Store using an RDBMS Connector
        • Data Store using an API Data Connector
      • Data Stores List
        • Edit a Data Store
        • Refresh Data for a Data Store
        • Store Info
        • Sharing a Data Store
        • Adding Synonyms to a Data Store
        • Refresh Synonyms
        • Push to VCS
        • Pull from VCS
        • Delete a Data Store
    • Data Store Meta Data
      • Creating a New Meta Data Store
      • Data Store Meta Data List
        • Editing Meta Data Store
        • Store Details
        • Adding Synonyms to Meta Data Store
        • Refresh Synonyms
        • Sharing a Metadata Store
        • Deleting Meta Data Store
    • Data Sheets
      • Creating a New Data Sheet
      • Editing a Data Sheet
      • Publishing a Data Sheet
        • Entering Data
        • Applying Filter
        • Deleting a Row
      • Removing a Data Sheet
    • Data Sandbox
      • Creating a New Data Sandbox
      • Data Sandbox List
        • Upload File Status
        • Using the Data Preparation Option
        • Deleting a Data Sandbox
        • Create Data Store
        • Reupload
        • Preview
        • Create Datasheet
    • Data as API
    • Data Preparation
      • Accessing the Data Preparation Option
      • Data Preparation Workspace
        • Data Preparation Landing Page
        • Profile Tab
        • Transforms
          • Advanced
          • Anonymization
          • Columns
          • Conversions
          • Data Cleansing
          • Dates
          • Functions
          • Integer
          • ML
          • Numbers
          • String
        • Steps
      • Data Preparation List
        • Rename
        • Edit
        • Delete
Powered by GitBook
On this page
  1. Data Center
  2. Data Connectors
  3. Supported Data Connectors
  4. Database Connectors

MSSQL

PreviousMySQLNextElastic (Beta Release)

Provide the following information to create an MSSQL Data Connector:

  • Data Connector Name: Provide a user-defined name to identify the data connector.

  • Description: Provide connection details (Optional)

  • Username: Enter a Username (It should be the same as given in the connection server).

  • Password: Enter the Password (It should be the same as provided in the connection server).

  • IP/Host: Enter database server details (from where the user wants to fetch data).

  • Port: Provide the server port number.

  • Database Name: Name of the database where you wish to store data.

  • Click the ‘Save’ option.

  • A success message appears to confirm the connection.

  • Another success message appears to assure the creation of the new MSSQL Data Connector.

  • The newly created MSSQL data connector gets added to the Data Connectors list.

Please Note: The user can use the following Environment Variables instead of the actual Username and Password to create the MSSQL Data Connectors.

  • Username: @ENV.MSSQLUSERNAME

  • Password: @ENV.MSSQLPASSWORD

​​