Set up a specific OAuth configuration to authenticate to a Snowflake or Databricks connection without reusing the OAuth configuration used to authenticate to your Sigma organization.
For Snowflake or Databricks connections, you can configure connection-level OAuth to manage role-based access control and data permissions in your data platform without changing how users authenticate to Sigma.
Connection-level OAuth is also available for Google BigQuery, but is still in beta.
For more details, see About using OAuth with Sigma. For setup instructions, see Connect to Snowflake with OAuth and Connect to Databricks with OAuth.
By default, Sigma limits CSV uploads to 200MB to avoid timeouts and failures that can be common with large files. If your organization's users regularly work with larger files, you can increase the file size limit to 1GB. When this option is enabled, Sigma generates pre-signed URLs, and the browser uploads the CSV files in multiple parts directly to cloud storage, bypassing Sigma's servers. This flow supports larger file sizes while improving performance and reliability.
For more information, see Configure CSV upload and storage options.
Specify a tagged version of a workbook when assigning a custom homepage to a user or team. For more details, see Set up custom home pages.
If your organization configures an AI provider, Sigma provides enhanced global search performance using semantic search.
For more information, see Search for content in your organization.
Data models used as sources in a shared template are now available to be swapped when you accept a template shared with your organization. You can swap data models to tables in your connection or to other data models in your organization. If a template includes multiple data models as sources, you can accept the template and swap the sources.
You can now configure columns to automatically scale to the size of your table element with the Autofit columns option. Autofit columns is not supported for pivot tables.
See Format and customize a table.
If you add a custom data label to a stacked bar chart, you can now choose to display the label as the value for the entire bar, the value for the individual segment, or both.
The repeated container is a layout element that connects to a data source. For each row in the data source, the repeated container generates a layout card, allowing you to quickly generate identical, dynamic layouts from your data.
For more information, see Use repeated containers to generate layouts from data.
You can now set a maximum or minimum range for a chart axis dynamically using a formula that references columns or controls in your workbook or report. See Customize chart axis range for more information.
The single row container is a layout element that connects to a data source. By selecting a key column and value, you can choose a row from the data source to display inside the container, allowing for dynamic, focused views at individual rows.
For more information, see Use single row containers to show records in detail and Create actions that control single row containers.
Add a value list element to create an organized display of details from a data source. You can customize the value list to show custom formula results, control values, static values, and more. When paired with a single row container, you can create a dynamic list that shows individual records from a data based on user input.
For more information, see Value lists.
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For organizations with greater than 15,000 user attributes, it was not possible to specify a user attribute to dynamically set a role or warehouse for a Snowflake connection.
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Users in tenant organizations were unable to duplicate or tag versions of deployed documents.
