Directly Connected Sources:
These sources have native connectors in Power BI.
- SQL Server
- Azure SQL Database
- Azure SQL Data Warehouse
- PostgreSQL
- MySQL
- Oracle Database
- IBM Db2
- Amazon Redshift
- Google BigQuery
- Snowflake
- Teradata
- SAP HANA
- SAP Business Warehouse
- Microsoft Access
- Excel
- CSV
- XML
- JSON
- SharePoint Online List
- SharePoint Folder
- Web
- OData Feed
- ODBC
- OleDB
- Azure Blob Storage
- Azure Table Storage
- Azure Data Lake Storage
- Azure Cosmos DB
- Azure HDInsight
- Hadoop File (HDFS)
- Active Directory
- Dynamics 365 (Online)
- Dynamics NAV
- Dynamics AX
- Dynamics CRM
- Salesforce
- Google Analytics
- Google Sheets
- QuickBooks Online
- Zendesk
- Adobe Analytics
- GitHub
- Smartsheet
- ServiceNow
- JIRA
- SurveyMonkey
- Azure DevOps (formerly VSTS)
- Microsoft Exchange
- OneDrive
- OneDrive for Business
- Azure Analysis Services
- Power BI Datasets
- Power BI Dataflows
- R Script
- Python Script
- Folder
- Parquet
- Google Cloud Storage
- S3 (Amazon Simple Storage Service)
- Microsoft Teams
- Microsoft Forms
- Microsoft Stream
- Microsoft Planner
- Trello
- Bitbucket
- Freshdesk
- Asana
- Marketo
- HubSpot
- Stripe
- Xero
- Toggl
- Wrike
- Azure Monitor Logs
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Explorer (Kusto)
- Box
- Dropbox
- Insightly
- Lightspeed
- Monday.com
- PayPal
- Pipedrive
- Splunk
- Tableau Server
- TSheets
- Zuora
API Connected Sources:
These sources typically require setting up a connection using APIs and often involve more manual configuration or use of custom connectors.
- MailChimp
- RStudio Server
- Planview
- Workday
- BambooHR
- GitLab
- Harvest
- Sage Intacct
Power BI provides flexibility in connecting to a wide range of data sources directly through built-in connectors or via APIs for more specialized or custom data integration needs.