For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
Sigma supports various cloud platforms and regions, connections to many data platforms, and some features are supported only on specific data platforms.
Supported cloud platforms and regions
Your Sigma organization is hosted on one of the following cloud platforms:
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud (GCP)
Your cloud deployment is chosen when your Sigma organization is created, and cannot be migrated or changed after creation.
If you’re unsure which cloud platform hosts your organization, you can reference it in the Administration portal (if you’re assigned the Adminaccount type). Go to Administration > Account > General Settings, then locate the Site section. The Cloud field identifies the platform hosting your organization.
The following table lists the specific supported cloud regions:
1GCP-hosted organizations don’t support private connections.
2Sign ups and free trials are not available in the GCP KSA region. Contact Sigma sales for enablement in this region.
3These regions are not yet supported for customer-managed keys.
4Audit logging is not yet supported for the Azure Australia region.
Supported data platforms and feature compatibility
Sigma connects to the following data platforms:
AlloyDB
Azure SQL Database
Amazon Redshift
Databricks
Google BigQuery
MySQL
PostgreSQL
Snowflake
Starburst Galaxy
SQL Server 2022 and Azure SQL Managed Instance
Connections support most Sigma features; however, due to technical variations (like SQL dialects, architecture, and security) some features are not currently compatible with all data platforms. The following table lists current feature limitations for each connection type.
CDW/DBMS
Feature limitations
AlloyDB connections don’t support the following features:
Dataset warehouse views created in Sigma
Input tables
Private link
Export to cloud storage
OAuth connections
Sigma result IDs cache
User attributes for role and warehouse switching
Running Python code
Warehouse AI model integration
Geography data type
Referencing multi-select controls in custom SQL
The following Array functions: Array, ArrayCompact, ArrayDistinct, ArrayExcept, ArrayIntersection, ArrayJoin, ArraySlice, Sequence, SplitToArray
The following Aggregate functions: RegressionIntercept, RegressionR2, RegressionSlope, SparklineAgg
All Geography functions: Area, Centroid, Distance, Geography, Intersects, Json, Latitude, Longitude, MakeLine, MakePoint, Perimeter, Text, Within
The following Passthrough functions: AggGeography, CallGeography
Specifying primary keys in the connection explorer
Amazon Redshift connections don’t support the following features:
Dataset warehouse views created in Sigma
Private link on GCP platform
OAuth connections
Sigma result IDs cache
User attributes for role and warehouse switching
Running Python code
Warehouse AI model integration
Geography data type
Hierarchy columns
Referencing multi-select controls in custom SQL
Copying input table data when tagging a version or swapping sources
The following Array functions: ArrayContains, ArrayCompact, ArrayDistinct, ArrayExcept, ArrayJoin, ArraySlice, RaggedHierarchy, Sequence, SplitToArray
The following Aggregate functions: ArrayAgg, ArrayAggDistinct, ArrayDistinct, ArrayIntersection, Corr, RegressionIntercept, RegressionR2, SparklineAgg RegressionSlope
All Geography functions: Area, Centroid, Distance, Geography, Intersects, Json, Latitude, Longitude, MakeLine, MakePoint, Perimeter, Text, Within
The following Passthrough functions: AggGeography, CallGeography
The following Window functions: CumulativeCorr, MovingCorr
Azure SQL Database connections don’t support the following features: