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title: 'Microsoft Power BI Connector' sidebar_label: 'Microsoft Power BI' sidebar_position: 11 description: 'Use Microsoft Power BI to access, visualize and analyze Spice datasets.' pagination_prev: 'clients/index' pagination_next: null

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Use the instructions below to get started with the Spice.ai Power BI Connector—an ADBC-based connector that enables Microsoft Power BI users to easily connect to and visualize data loaded in Spice.ai Enterprise and Spice Cloud Platform instances.

Manual Connector Installation

Power BI Desktop

1. Download the latest spice_adbc.mez file from the releases page

2. Copy to your Power BI Custom Connectors directory: C:\Users\[USERNAME]\Documents\Microsoft Power BI Desktop\Custom Connectors

3. Enable Uncertified Connectors in Power BI Desktop settings and restart Power BI Desktop.

Adding Spice as a Data Source

1. Open Power BI Desktop.

2. Click on Get Data → More....

3. In the dialog, select Spice.ai connector.

4. Click Connect.

5. Enter the ADBC (Arrow Flight SQL) Endpoint:

   • For Spice Cloud Platform:
     grpc+tls://flight.spiceai.io:443
     (Use the region-specific address if applicable.)
   • For on-premises/self-hosted Spice.ai:
     • Without TLS (default): grpc://<server-ip>:50051
     • With TLS: grpc+tls://<server-ip>:50051

6. Select the Data Connectivity mode:
   • Import: Data is loaded into Power BI, enabling extensive functionality but requiring periodic refreshes and sufficient local memory to accommodate the dataset.
   • DirectQuery: Queries are executed directly against Spice in real-time, providing fast performance even on large datasets by leveraging Spice's optimized query engine.
7. Click OK.
8. Select Authentication option:
   • Anonymous: Select for unauthenticated on-premises deployments.
   • API Key: Your Spice.ai API key for authentication (required for Spice Cloud). Follow the guide to obtain it from the Spice Cloud portal.

9. Click Connect to establish the connection.

Working with Spice datasets

After establishing a connection, Spice datasets appear under their respective schemas, with the default schema being spice.public. When writing native queries, use the PostgreSQL dialect, as Spice is built on this standard.

Supported Data Types

The following Apache Arrow / DataFusion SQL types are supported. Other types will result in a Unable to understand the type for column error. Please report an issue if support for additional types is required.

Arrow Type	DataFusion SQL Type	Power Query M Type
Boolean	BOOLEAN	Logical
Int16	SMALLINT	Int16
Int32	INTEGER	Int32
Int64	BIGINT	Int64
Float32	REAL	Single
Float64	DOUBLE	Double
Decimal128 / Decimal256	DECIMAL	Decimal
Utf8	VARCHAR	Text
Date32 / Date64	DATE	Date
Time32 / Time64	TIME	Time
Timestamp	TIMESTAMP	DateTime
List / LargeList / FixedSizeList / ListView / LargeListView	ARRAY	Text
Interval	INTERVAL	Text
Struct	STRUCT	Text

Limitations

LargeUtf8 Data Type Is Not Supported

To work around this limitation, use views to manually convert LargeUtf8 columns to Utf8 by casting them with ::TEXT.

Example:

Date Time Arithmetic Operations Are Not Supported

Due to lack of support for the timestampdiff function in the DataFusion query engine, date and time arithmetic operations—such as subtracting or adding timestamps and intervals—are not supported and will result in an error similar to Invalid function 'timestampdiff'.\nDid you mean 'to_timestamp'? (Internal; ExecuteQuery). For example:

Please report an issue if support for date or time arithmetic operations is required.