Apache Iceberg

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

    • The Apache Iceberg connector provides read-only access to data and metadata in the Iceberg format.

    A connection admin can set up a connection to Apache Iceberg 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 Apache Iceberg. This allows users to access Apache Iceberg 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.

    Important:
    The Apache Iceberg primary connector is in preview. A primary connector in preview is developed and supported by ServiceNow, but is still being enhanced to include all planned functionality. While in preview, a connector may have limitations in platform support or available features.

    A primary connector in preview is fully functional for its documented scope and receives the same ServiceNow support as other primary connectors. For details on specific functionality limitations, see KBB0010487.

    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 Apache Iceberg data types and the default matching data types in a data fabric table.

    Important:
    Apache Iceberg data types not included in the table aren't supported for data mapping in Zero Copy Connector Hub.
    Table 1. Data type mapping
    Apache Iceberg Data fabric table
    boolean True/False
    int Integer
    long Long
    float Floating Point Number
    double Decimal
    decimal(p,s) Decimal/Currency
    string String
    date Date
    timestamp Date/Time
    timestamptz Date/Time
    uuid GUID