Microsoft Teams Drivers & Connectors
for Data Integration

Connect to live Microsoft Teams data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Microsoft Teams data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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Other Technologies



BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Microsoft Teams data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Microsoft Teams data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Microsoft Teams in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Microsoft Teams Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Microsoft Teams Data in Amazon QuickSight Amazon SageMaker: Integrate Live Microsoft Teams data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Microsoft Teams in Aqua Data Studio AWS Databricks: Process & Analyze Microsoft Teams Data in Databricks (AWS) Azure Analysis Services: Model Microsoft Teams Data Using Azure Analysis Services Birst: Build Visualizations of Microsoft Teams in Birst BIRT: Design BIRT Reports on Microsoft Teams Clear Analytics: Build Charts with Microsoft Teams in Clear Analytics Cognos Analytics (On-Prem): Analyze Microsoft Teams Data in Cognos Analytics DBxtra: Build Dashboards with Microsoft Teams in DBxtra Domo: Create Datasets from Microsoft Teams in Domo Workbench Dundas BI: Build Dashboards with Microsoft Teams in Dundas BI Excel (on Mac OS): Work with Microsoft Teams Data in MS Excel on Mac OS X FineReport: Feed Microsoft Teams into FineReport Google Sheets: Access Live Microsoft Teams Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Microsoft Teams Infragistics Reveal: Analyze Microsoft Teams Data in Infragistics Reval JasperServer: Create Microsoft Teams Reports on JasperReports Server Jaspersoft BI Suite: Connect to Microsoft Teams in Jaspersoft Studio JReport Designer: Integrate with Microsoft Teams in JReport Designer Klipfolio: Create Microsoft Teams-Connected Visualizations in Klipfolio KNIME: Enable the Microsoft Teams JDBC Driver in KNIME LINQPad: Working with Microsoft Teams in LINQPad Looker: Analyze Microsoft Teams Data in Looker Looker Studio: Create Reports from Microsoft Teams Data in Looker Studio Metabase: Create Interactive Microsoft Teams-Connected Metabase Dashboards Microsoft Excel: Access Live Microsoft Teams Data in Excel Desktop Microsoft Excel for the Web: Access Live Microsoft Teams Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Microsoft Teams MicroStrategy: Connect to Live Microsoft Teams Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Microsoft Teams in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Microsoft Teams in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Microsoft Teams in MicroStrategy Web Mode Analytics: Create Microsoft Teams-Connected Visualizations in Mode OBIEE: Microsoft Teams Reporting in OBIEE with the Microsoft Teams JDBC Driver pandas: Use pandas to Visualize Microsoft Teams in Python Pentaho Report Designer: Integrate Microsoft Teams in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Microsoft Teams Power BI Service: Visualize Live Microsoft Teams Data in the Power BI Service Power Pivot: Access Microsoft Teams Data in Microsoft Power Pivot Power Query: Access Microsoft Teams Data in Microsoft Power Query Qlik Cloud: Create Apps from Microsoft Teams Data in Qlik Sense Cloud QlikView: Connect to and Query Microsoft Teams in QlikView over ODBC R: Analyze Microsoft Teams in R (JDBC) R: Analyze Microsoft Teams in R (ODBC) RapidMiner: Connect to Microsoft Teams in RapidMiner Redash: Query, Visualize, and Share live Microsoft Teams Data in Redash SAP Analytics Cloud: Analyze Microsoft Teams Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Microsoft Teams SAP Crystal Reports: Publish Reports with Microsoft Teams in Crystal Reports (JDBC) SAP Crystal Reports: Publish Reports with Microsoft Teams in Crystal Reports (Connect Cloud) SAS: Use the CData ODBC Driver for Microsoft Teams in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Microsoft Teams in SAS JMP SAS Viya: Analyze Live Microsoft Teams Data in SAS Viya Sisense: Visualize Live Microsoft Teams in Sisense Spago BI: Connect to Microsoft Teams in SpagoBI Tableau: Visualize Microsoft Teams in Tableau Desktop Tableau: Visualize Microsoft Teams in Tableau Desktop (Connect Cloud) Tableau Cloud: Build Microsoft Teams Visualizations in Tableau Cloud Tableau Server: Publish Microsoft Teams-Connected Dashboards in Tableau Server ThoughtSpot: Model, Search, and Visualize Live Microsoft Teams Data in ThoughtSpot TIBCO Spotfire: Visualize Microsoft Teams in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Microsoft Teams Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Microsoft Teams from Spotfire Server Visio: Link Visio Shapes to Microsoft Teams Zoho Analytics: Create Microsoft Teams-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Microsoft Teams connectivity to ETL/ELT tools for Microsoft Teams data integration — our Microsoft Teams integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Microsoft Teams to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Airbyte: Connect to Microsoft Teams Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Microsoft Teams Replication to Amazon Redshift Amazon S3: Automated Continuous Microsoft Teams Replication to Amazon S3 Apache Airflow: Bridge Microsoft Teams Connectivity with Apache Airflow Apache Camel: Integrate with Microsoft Teams using Apache Camel Apache Cassandra: Automated Continuous Microsoft Teams Replication to Apache Cassandra Apache Kafka: Automated Continuous Microsoft Teams Replication to Apache Kafka Apache NiFi: Bridge Microsoft Teams Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Microsoft Teams Data in Apache NiFi AWS Glue: Build ETL Jobs with Microsoft Teams Data in AWS Glue Jobs Azure Data Factory: Import Microsoft Teams Data Using Azure Data Factory Azure Data Lake: Automated Continuous Microsoft Teams Replication to Azure Data Lake Azure Synapse: Automated Continuous Microsoft Teams Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Microsoft Teams to SQL Server CloverDX: Connect to Microsoft Teams in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Microsoft Teams Replication to Couchbase CSV: Automated Continuous Microsoft Teams Replication to Local Delimited Files Databricks: Automated Continuous Microsoft Teams Replication to Databricks ETL Validator: How to Work with Microsoft Teams in ETL Validator FoxPro: Work with Microsoft Teams in FoxPro Google AlloyDB: Automated Continuous Microsoft Teams Replication to Google AlloyDB Google BigQuery: Automated Continuous Microsoft Teams Replication to Google BigQuery Google Cloud SQL: Automated Continuous Microsoft Teams Replication to Google Cloud SQL Google Data Fusion: Build Microsoft Teams-Connected ETL Processes in Google Data Fusion Google Data Fusion: Build Pipelines with Live Microsoft Teams Data in Google Cloud Data Fusion (CData Connect Cloud) Heroku / Salesforce Connect: Replicate Microsoft Teams for Use in Salesforce Connect HULFT Integrate: Connect to Microsoft Teams in HULFT Integrate IBM DB2: Automated Continuous Microsoft Teams Replication to IBM DB2 Informatica Cloud: Integrate Microsoft Teams in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Microsoft Teams Jaspersoft ETL: Connect to Microsoft Teams in Jaspersoft Studio Microsoft Access: Automated Continuous Microsoft Teams Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Microsoft Teams Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to Microsoft Teams Microsoft Power Automate: Build Microsoft Teams-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Microsoft Teams Replication to MongoDB MySQL: Automated Continuous Microsoft Teams Replication to MySQL Oracle Data Integrator: ETL Microsoft Teams in Oracle Data Integrator Oracle Database: Automated Continuous Microsoft Teams Replication to Oracle petl: Extract, Transform, and Load Microsoft Teams in Python PostgreSQL: Automated Continuous Microsoft Teams Replication to PostgreSQL Replicate to MySQL: Replicate Microsoft Teams to MySQL with PowerShell SAP HANA: Automated Continuous Microsoft Teams Replication to SAP HANA SingleStore: Automated Continuous Microsoft Teams Replication to SingleStore SnapLogic: Integrate Microsoft Teams with External Services using SnapLogic (JDBC) SnapLogic: Integration with Microsoft Teams Data in SnapLogic (Connect Cloud) Snowflake: Automated Continuous Microsoft Teams Replication to Snowflake SQL Server: Automated Continuous Microsoft Teams Replication to SQL Server SQL Server Linked Server: Connect to Microsoft Teams Data as a SQL Server Linked Server SQLite: Automated Continuous Microsoft Teams Replication to SQLite Talend: Connect to Microsoft Teams and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Microsoft Teams in UiPath Studio Vertica: Automated Continuous Microsoft Teams Replication to a Vertica Database Workato: Build Automated Workflows with Live Microsoft Teams Data in Workato Zapier: Build Automated Microsoft Teams-Connected Workflows in Zapier

Workflow & Automation Tools



Connect to Microsoft Teams from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Microsoft Teams data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Microsoft Teams from anywhere. Our Microsoft Teams drivers offer a data-centric model for Microsoft Teams that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



AWS Lambda: Access Live Microsoft Teams Data in AWS Lambda Axios: Build Microsoft Teams-Connected Web Apps with Axios and CData Connect Cloud .NET Charts: DataBind Charts to Microsoft Teams .NET QueryBuilder: Rapidly Develop Microsoft Teams-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Microsoft Teams Apache Spark: Work with Microsoft Teams in Apache Spark Using SQL AppSheet: Create Microsoft Teams-Connected Business Apps in AppSheet Bubble.io: Build Microsoft Teams-Connected Apps in Bubble C++Builder: DataBind Controls to Microsoft Teams Data in C++Builder Choreo: Build Custom Apps on Microsoft Teams Data in Choreo ColdFusion: Query Microsoft Teams in ColdFusion Using JDBC ColdFusion: Query Microsoft Teams in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Microsoft Teams Delphi: DataBind Controls to Microsoft Teams Data in Delphi DevExpress: DataBind Microsoft Teams to the DevExpress Data Grid EF - Code First: Access Microsoft Teams with Entity Framework 6 EF - LINQ: LINQ to Microsoft Teams EF - MVC: Build MVC Applications with Connectivity to Microsoft Teams Filemaker Pro: Bidirectional Access to Microsoft Teams from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Microsoft Teams from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Microsoft Teams on Linux Google Apps Script: Connect to Microsoft Teams Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Microsoft Teams Entities in Java IntelliJ: Connect to Microsoft Teams in IntelliJ JBoss: Connect to Microsoft Teams from a Connection Pool in JBoss JDBI: Create a Data Access Object for Microsoft Teams using JDBI Jitterbit: Integrate with Live Microsoft Teams Data in Jitterbit JRuby: Connect to Microsoft Teams in JRuby Mendix: Build Microsoft Teams-Connected Apps in Mendix (Connect Cloud) Mendix: Build Microsoft Teams-Connected Apps in Mendix (JDBC) Microsoft Power Apps: Integrate Live Microsoft Teams Data into Custom Business Apps Built in Power Apps NodeJS: Query Microsoft Teams Data in Node.js (via Connect Cloud) NodeJS: Query Microsoft Teams through ODBC in Node.js OutSystems: Create Microsoft Teams-Connected Enterprise Applications in OutSystems PHP: Access Microsoft Teams in PHP through Connect Server PHP: Natively Connect to Microsoft Teams in PHP PowerBuilder: Connect to Microsoft Teams from PowerBuilder PowerShell: Pipe Microsoft Teams to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Microsoft Teams in PyCharm Python: Connect to Microsoft Teams in Python on Linux/UNIX React: Build Dynamic React Apps with Microsoft Teams Data Ruby: Connect to Microsoft Teams in Ruby RunMyProcess: Connect to Microsoft Teams Data in RunMyProcess RunMyProcess DSEC: Connect to Microsoft Teams in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Microsoft Teams in SAPUI5 MVC Apps Servoy: Build Microsoft Teams-Connected Apps in Servoy Spring Boot: Access Live Microsoft Teams Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Microsoft Teams in Python Tomcat: Configure the CData JDBC Driver for Microsoft Teams in a Connection Pool in Tomcat Unqork: Create Microsoft Teams-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Microsoft Teams WebLogic: Connect to Microsoft Teams from a Connection Pool in WebLogic

Data Virtualization



Our drivers provide a virtual database abstraction on top of Microsoft Teams data and support popular data virtualization features like query federation through advanced capabilities for query delegation / predicate pushdown.

Learn more about how our tools can be used in popular data virtualization scenarios below:

Popular Data Virtualization Tool Integrations





When Only the Best Microsoft Teams Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Microsoft Teams Driver Questions

Learn more about Microsoft Teams drivers & connectors for data and analytics integration


The Microsoft Teams driver acts like a bridge that facilitates communication between various applications and Microsoft Teams, allowing the application to read data as if it were a relational database. The Microsoft Teams driver abstracts the complexities of Microsoft Teams APIs, authentication methods, and data types, making it simple for any application to connect to Microsoft Teams data in real-time via standard SQL queries.

Working with a Microsoft Teams Driver is different than connecting with Microsoft Teams through other means. Microsoft Teams API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Microsoft Teams integration code moving forward.

By comparison, our Microsoft Teams Drivers offer codeless access to live Microsoft Teams data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Microsoft Teams data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Microsoft Teams data. We manage all of the complexities of Microsoft Teams integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Microsoft Teams via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Microsoft Teams from any of the available Cloud Drivers and Client Applications. Connectivity to Microsoft Teams is managed in the cloud, and you never have to worry about installing new drivers when Microsoft Teams is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Microsoft Teams, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Microsoft Teams driver offers full-featured Microsoft Teams data connectivity. The CData Microsoft Teams drivers support extensive Microsoft Teams integration, providing access to all of the Microsoft Teams data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Microsoft Teams data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Microsoft Teams driver contains a full SQL-92 compliant engine that translates standard SQL queries into Microsoft Teams API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Microsoft Teams as possible. Any logic that can not be pushed to Microsoft Teams is handled transparently client-side by the driver/connector engine. Ultimately, this means that Microsoft Teams looks and acts exactly like a database to any client application or tool. Users can integrate live Microsoft Teams connectivity with ANY software solution that can talk to a standard database.

The Microsoft Teams drivers and connectors offer comprehensive access to Microsoft Teams data. Our Microsoft Teams driver exposes static and dynamic data and metadata, providing universal access to Microsoft Teams data for any enterprise analytics or data mangement use. To explore the Microsoft Teams driver data model, please review the edition-specific Microsoft Teams driver documentation.

Using the CData Microsoft Teams drivers and connectors, Microsoft Teams can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Microsoft Teams data connectivity. Explore some of the more popular Microsoft Teams data integrations online.

Additionally, since Microsoft Teams supported by CData Connect Cloud, we enable all kinds of new Microsoft Teams cloud integrations.

Microsoft Teams Analytics and Microsoft Teams Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Microsoft Teams data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Microsoft Teams data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Microsoft Teams data any database or data warehouse, and maintain parity between systems with automated incremental Microsoft Teams replication. In addition, our Microsoft Teams drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Microsoft Teams with Excel is by using the CData Connect Cloud Excel Add-In. The Microsoft Teams Excel Add-In provides easy Microsoft Teams integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Microsoft Teams from the easy-to-use cloud interface, and access Microsoft Teams just like you would another native Excel data source.