SFMC Drivers

Q: How is the Simba Salesforce Marketing Cloud driver different from SFMC’s REST and SOAP APIs?

Our Simba SFMC driver gives you and your team SQL-based connectivity for analytics and reporting, instead of forcing users to work with the native SOAP and REST APIs. These native APIs don’t have full parity, so Simba creates a bridge for direct integration in a BI-friendly manner. In other words, it supports direct connectivity without extraction, SQL-based metadata access via INFORMATION_SCHEMA, and compatibility with common analytics tools.

Q: Can our analysts query SFMC data from BI tools without building separate extraction workflows?

Yes. Our drivers are all designed to deliver real-time analytics and reporting without extraction. This driver is compatible with Alteryx, Excel, Power BI, QlikView, Tableau, Logi Symphony , MicroStrategy, SAP Cloud for Analytics, and more. This makes it a great option for teams that want to analyze SFMC data in their existing BI stack instead of building and maintaining separate extraction pipelines.

Salesforce Marketing Cloud ODBC & JDBC Driver

OEM & Distribution

Connect to Salesforce Marketing Cloud (SFMC) From Your BI Tools

Leverage the power and convenience of SQL for real-time analytics and reporting on Salesforce Marketing Cloud data. Enhance your marketing analytics by connecting to Salesforce Marketing Cloud from your existing BI tool stack using Simba’s ODBC and JDBC drivers. Leverage high-performance queries to transform your marketing data into valuable insights, improving your campaign effectiveness and ROI.

Why Download Simba & Its Drivers?

Simba by insightsoftware provides trusted, high-quality connectivity, backed by reliable support, making it easier to use Salesforce Marketing Cloud with the tools you already rely on.

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Salesforce Marketing Cloud Driver Features

Direct BI Connectivity to Data: Connect BI and reporting tools directly to Salesforce Marketing Cloud data in real time, eliminating separate extraction steps and reducing the lag between campaign activity and analysis.
Metadata & Schema Support: Use standard SQL metadata access through INFORMATION_SCHEMA to discover available objects, fields, and schema details more easily during setup, query building, and data modeling.
Universal ODBC 3.8: Complies with the ODBC 3.8 standard to provide broad interoperability and a consistent connectivity layer across modern BI, reporting, and analytics environments.
Full Compatibility with Leading Analytic/Reporting Apps: Works with Alteryx, Excel, Microsoft Power BI, MicroStrategy, SAP Cloud for Analytics, QlikView, Logi Symphony, and Tableau to analyze SFMC data in the tools you already use.
Basic Authentication & OIDC Authentication: Supports flexible authentication options to help align connectivity with enterprise identity, access, and security requirements.

Salesforce Marketing Cloud Driver Specs

Supports 32- and 64-bit Applications: Compatible with both 32-bit and 64-bit environments for the flexibility to deploy across legacy and modern analytics apps.
Supports Unicode: Preserves multilingual data and special characters accurately, which is important for global marketing data and international campaign reporting.
Supports Windows Platforms: Built for Windows-based deployment environments commonly used for BI, reporting, and desktop analytics workflows.
Supports All Common Data Types: Handles standard data types reliably so SFCM data can be queried, modeled, and consumed consistently across downstream tools.

Overcome Salesforce Marketing Cloud Hurdles With Simba Drivers

Data Access Split Across REST & SOAP

SFMC data access is not only API-driven, but also sometimes requires both REST and SOAP. The result is more integration code, more maintenance, and more opportunities for gaps between the data you need and the data you have access to. Simba’s SFMC drivers provide a single SQL-based access layer so your teams don’t have to work against multiple API models.

Schema Discovery is Slow

Because data from Salesforce Marketing Cloud is spread across data extensions and related objects with fields, permissions, ownership rules, etc., it’s harder to quickly find the right objects. Simba’s SFMC drivers have standard SQL metadata and INFORMATION_SCHEMA support to make it easier to inspect, browse, and understand schemas.

Business-Unit Context Adds Setup Friction

Salesforce integrations rely on client credentials, tenant-specific token endpoints, BU-specific context, and more. For enterprises, this adds significant complexity and increases the chances of broken access. Simba’s SFMC drivers offer a more standardized connectivity layer (with flexible authentication options) to simplify how downstream tools connect.

Salesforce Marketing Cloud ODBC & JDBC Driver FAQs

How is the Simba Salesforce Marketing Cloud driver different from SFMC’s REST and SOAP APIs?

Our Simba SFMC driver gives you and your team SQL-based connectivity for analytics and reporting, instead of forcing users to work with the native SOAP and REST APIs. These native APIs don’t have full parity, so Simba creates a bridge for direct integration in a BI-friendly manner. In other words, it supports direct connectivity without extraction, SQL-based metadata access via INFORMATION_SCHEMA, and compatibility with common analytics tools.

How does Simba help when SFMC data access is split across REST and SOAP APIs?

Analysts and BI teams shouldn’t have to think in terms of separate API models just to answer reporting questions. Simba alleviates this by exposing Salesforce Marketing Cloud through a more familiar SQL-based interface. This makes it easier for teams to focus on querying and reporting instead of managing API fragmentation directly. On top if this, Simba also adds schema visibility through INFORMATION_SCHEMA, which eases setup and discovery.

Can our analysts query SFMC data from BI tools without building separate extraction workflows?

Yes. Our drivers are all designed to deliver real-time analytics and reporting without extraction. This driver is compatible with Alteryx, Excel, Power BI, QlikView, Tableau, Logi Symphony, MicroStrategy, SAP Cloud for Analytics, and more. This makes it a great option for teams that want to analyze SFMC data in their existing BI stack instead of building and maintaining separate extraction pipelines.