Salesforce Data Cloud Drivers & Connectors for Data Integration

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


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BI & Analytics



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

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Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Salesforce Data Cloud in Alteryx Designer (ODBC) Aqua Data Studio: Connect to Salesforce Data Cloud in Aqua Data Studio AWS Databricks: Process & Analyze Salesforce Data Cloud Data in Databricks (AWS) Birst: Build Visualizations of Salesforce Data Cloud in Birst BIRT: Design BIRT Reports on Salesforce Data Cloud Clear Analytics: Build Charts with Salesforce Data Cloud in Clear Analytics DBxtra: Build Dashboards with Salesforce Data Cloud in DBxtra Domo: Create Datasets from Salesforce Data Cloud in Domo Workbench Dundas BI: Build Dashboards with Salesforce Data Cloud in Dundas BI Excel (on Mac OS): Work with Salesforce Data Cloud Data in MS Excel on Mac OS X FineReport: Feed Salesforce Data Cloud into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with Salesforce Data Cloud JasperServer: Create Salesforce Data Cloud Reports on JasperReports Server Jaspersoft BI Suite: Connect to Salesforce Data Cloud in Jaspersoft Studio JReport Designer: Integrate with Salesforce Data Cloud in JReport Designer KNIME: Enable the Salesforce Data Cloud JDBC Driver in KNIME LINQPad: Working with Salesforce Data Cloud in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Salesforce Data Cloud MicroStrategy: Use the CData JDBC Driver for Salesforce Data Cloud in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Salesforce Data Cloud in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Salesforce Data Cloud in MicroStrategy Web OBIEE: Salesforce Data Cloud Reporting in OBIEE with the Salesforce Data Cloud JDBC Driver pandas: Use pandas to Visualize Salesforce Data Cloud in Python Pentaho Report Designer: Integrate Salesforce Data Cloud in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Salesforce Data Cloud QlikView: Connect to and Query Salesforce Data Cloud in QlikView over ODBC R: Analyze Salesforce Data Cloud in R (JDBC) R: Analyze Salesforce Data Cloud in R (ODBC) RapidMiner: Connect to Salesforce Data Cloud in RapidMiner SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Salesforce Data Cloud SAP Crystal Reports: Publish Reports with Salesforce Data Cloud in Crystal Reports (JDBC) SAS: Use the CData ODBC Driver for Salesforce Data Cloud in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Salesforce Data Cloud in SAS JMP Sisense: Visualize Live Salesforce Data Cloud in Sisense Spago BI: Connect to Salesforce Data Cloud in SpagoBI Tableau: Visualize Salesforce Data Cloud in Tableau Desktop Tableau Server: Publish Salesforce Data Cloud-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Salesforce Data Cloud in TIBCO Spotfire through ADO.NET TIBCO Spotfire Server: Operational Reporting on Salesforce Data Cloud from Spotfire Server

ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



Workflow & Automation Tools



Connect to Salesforce Data Cloud from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Salesforce Data Cloud 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 Salesforce Data Cloud from anywhere. Our Salesforce Data Cloud drivers offer a data-centric model for Salesforce Data Cloud 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 Salesforce Data Cloud Data in AWS Lambda .NET Charts: DataBind Charts to Salesforce Data Cloud .NET QueryBuilder: Rapidly Develop Salesforce Data Cloud-Driven Apps with Active Query Builder Apache Spark: Work with Salesforce Data Cloud in Apache Spark Using SQL C++Builder: DataBind Controls to Salesforce Data Cloud Data in C++Builder ColdFusion: Query Salesforce Data Cloud in ColdFusion Using JDBC ColdFusion: Query Salesforce Data Cloud in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Salesforce Data Cloud Delphi: DataBind Controls to Salesforce Data Cloud Data in Delphi DevExpress: DataBind Salesforce Data Cloud to the DevExpress Data Grid EF - Code First: Access Salesforce Data Cloud with Entity Framework 6 EF - LINQ: LINQ to Salesforce Data Cloud EF - MVC: Build MVC Applications with Connectivity to Salesforce Data Cloud Filemaker Pro: Bidirectional Access to Salesforce Data Cloud from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Salesforce Data Cloud from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Salesforce Data Cloud on Linux Hibernate: Object-Relational Mapping (ORM) with Salesforce Data Cloud Entities in Java IntelliJ: Connect to Salesforce Data Cloud in IntelliJ JBoss: Connect to Salesforce Data Cloud from a Connection Pool in JBoss JDBI: Create a Data Access Object for Salesforce Data Cloud using JDBI JRuby: Connect to Salesforce Data Cloud in JRuby Lazarus IDE: Easily Integrate Salesforce Data Cloud Data in Lazarus Pascal IDE Mendix: Build Salesforce Data Cloud-Connected Apps in Mendix (JDBC) NodeJS: Query Salesforce Data Cloud through ODBC in Node.js PHP: Natively Connect to Salesforce Data Cloud in PHP PowerBuilder: Connect to Salesforce Data Cloud from PowerBuilder PowerShell: Pipe Salesforce Data Cloud to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Salesforce Data Cloud in PyCharm Python: Connect to Salesforce Data Cloud in Python on Linux/UNIX Ruby: Connect to Salesforce Data Cloud in Ruby RunMyProcess DSEC: Connect to Salesforce Data Cloud in DigitalSuite Studio through RunMyProcess DSEC Servoy: Build Salesforce Data Cloud-Connected Apps in Servoy Spring Boot: Access Live Salesforce Data Cloud Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Salesforce Data Cloud in Python Tomcat: Configure the CData JDBC Driver for Salesforce Data Cloud in a Connection Pool in Tomcat VCL App (RAD Studio): Build a Simple VCL Application for Salesforce Data Cloud WebLogic: Connect to Salesforce Data Cloud from a Connection Pool in WebLogic


When Only the Best Salesforce Data Cloud Drivers Will Do

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Frequently Asked Salesforce Data Cloud Driver Questions

Learn more about Salesforce Data Cloud drivers & connectors for data and analytics integration


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

Working with a Salesforce Data Cloud Driver is different than connecting with Salesforce Data Cloud through other means. Salesforce Data Cloud 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 Salesforce Data Cloud integration code moving forward.

By comparison, our Salesforce Data Cloud Drivers offer codeless access to live Salesforce Data Cloud data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Salesforce Data Cloud 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 Salesforce Data Cloud data. We manage all of the complexities of Salesforce Data Cloud integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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 Salesforce Data Cloud, 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 Salesforce Data Cloud driver offers full-featured Salesforce Data Cloud data connectivity. The CData Salesforce Data Cloud drivers support extensive Salesforce Data Cloud integration, providing access to all of the Salesforce Data Cloud 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 Salesforce Data Cloud 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 Salesforce Data Cloud driver contains a full SQL-92 compliant engine that translates standard SQL queries into Salesforce Data Cloud API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Salesforce Data Cloud as possible. Any logic that can not be pushed to Salesforce Data Cloud is handled transparently client-side by the driver/connector engine. Ultimately, this means that Salesforce Data Cloud looks and acts exactly like a database to any client application or tool. Users can integrate live Salesforce Data Cloud connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Salesforce Data Cloud drivers and connectors, Salesforce Data Cloud 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 Salesforce Data Cloud data connectivity. Explore some of the more popular Salesforce Data Cloud data integrations online.

Salesforce Data Cloud Analytics 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 Salesforce Data Cloud 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.

Absolutely. CData offers native Excel Add-Ins for Salesforce Data Cloud integration. These Add-Ins provide live access to Salesforce Data Cloud data directly from Microsoft Excel.