Databricks

  • Release version: Australia
  • Updated March 12, 2026
  • 1 minute to read

    • The Databricks connector provides read-only access to data and metadata from the Databricks data analytics platform.

    A connection admin can set up a connection to Databricks in the Zero Copy Connector Hub and grant data stewards access to this connection. Data stewards can then use the established connection to create a data fabric table and map data from Databricks. This allows users to access Databricks data through the table list view or by using GlideRecord scripts. For details on creating data fabric tables and mapping data, see Managing data fabric tables.

    The connector has been enhanced to improve the performance of the following Glide queries and list view operations. These improvements allow the majority of queries to be executed at the data source.

    • Sort
    • Limit
    • Filter
    • GroupBy
    • avg()
    • count()
    • max()
    • min()
    • sum()
    • References

    Supported data types

    The following table lists supported Databricks data types and the default matching data types in a data fabric table.

    Important:
    Databricks data types not included in the table aren't supported for data mapping in Zero Copy Connector Hub.
    Table 1. Data type mapping
    Databricks Data fabric table
    bigint Long Integer String
    int Long Integer String
    smallint Long Integer String
    tinyint Long Integer String
    timestamp_ntz Basic Date/Time
    char Char
    timestamp Basic Date/Time
    date Date
    decimal Decimal
    string String
    boolean True/False
    double Floating Point Number
    float Floating Point Number