Amazon S3 Tables

concept brazil Updated Sep 10, 2026 1 min read amazon-s3-tables-zcc.md
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The Amazon S3 Tables connector provides read-only access to data and metadata in Amazon S3 Tables.

A connection admin can set up a connection to Amazon S3 Tables 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 S3 Tables. This allows users to access data in S3 Tables 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 Amazon S3 Tables 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 Workflow Data Fabric - Primary Connectors Limitations [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 Amazon S3 Tables data types and the default matching data types in a data fabric table.

Important: Amazon S3 Tables data types not included in the table aren't supported for data mapping in Zero Copy Connector Hub.

Amazon S3 Tables 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

Related topics

[create-databricks-connection]

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