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Yandex DataLens
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  1. Connections
  2. Databases
  3. Creating a SQL Server connection

Creating a connection to SQL Server in Yandex DataLens

Written by
Yandex Cloud
Updated at July 17, 2026
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Warning

Yandex Cloud holds no responsibility for configuring a remote connection on an external database server side. When connecting an external database that is not a Yandex Cloud resource:

  • Make sure the database uses an SSL certificate signed by a SSL certificate authority. You will not be able to create a connection in DataLens if the database uses a self-signed SSL certificate.

  • Grant database access to the following DataLens IP ranges (/ is followed by the subnet mask length):

    ipv4
    ipv6
    • 178.154.242.176/28
    • 178.154.242.192/28
    • 178.154.242.208/28
    • 178.154.242.128/28
    • 178.154.242.144/28
    • 178.154.242.160/28
    • 130.193.60.0/28
    • 2a02:6b8:c03:500:0:f83d:a987:0/112
    • 2a02:6b8:c02:900:0:f83d:a987:0/112
    • 2a02:6b8:c0e:500:0:f83d:a987:0/112
    • 2a02:6b8:c41:1300:0:f83d:a987:0/112

To create an SQL Server connection:

  1. Open the connection creation page.

  2. Under Databases, select the MS SQL Server connection.

  3. Configure the connection as follows:

    • Host name: Specify the path to a master host or a SQL Server master host IP address. You can specify multiple hosts in a comma-separated list. If you fail to connect to the first host, DataLens will select the next one from the list.
    • Port: Specify the SQL Server connection port. The default port is 1433.
    • Path to database: Specify the database name.
    • Username: Specify a username for the SQL Server connection.
    • Password: Enter the password for the specified user.
    • Cache TTL in seconds: Specify cache TTL or leave the default value. The recommended value is 300 seconds (5 minutes).
    • Raw SQL level: Enables you to use an ad-hoc SQL query to generate a dataset. This option is disabled by default. When enabling it, you will need to select the raw SQL level:

      • Subqueries only: Describe dataset sources using SQL queries.
      • Subqueries and parameters: Describe dataset sources using SQL queries and use source parameterization.
      • SQL to read: Describe dataset sources using SQL queries, use source parameterization, and create QL charts.
  4. Optionally, test the connection by clicking Check connection.

  5. Click Create connection.

  6. Select a workbook to save your connection to or create a new one. If using legacy folder navigation, select a folder to save the connection to. Click Create.

  7. Enter a name for the connection and click Create.

Additional settingsAdditional settings

You can limit data export from charts by enabling the Disable data export option under Advanced connection settings. Thus, for charts based on the respective connection, the export data option will not be available in their menu. However, you will still be able to copy chart data and take screenshots.

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Creating an Oracle Database connection
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