Money Forward Expense Drivers & Connectors
for Data Integration

Connect to Money Forward Expense accounting platform data from BI, analytics, or reporting tools through bi-directional drivers. Easily integrate Money Forward Expense data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


Decorative Icon Money Forward Expense Logo


BI & Analytics



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

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



Data Management



By supporting popular database protocols like ODBC, JDBC, and ADO.NET, as well as wire-protocol interfaces for SQL Server and MySQL, it is easy to connect to and manage Money Forward Expense data from a wide range of database management applications.

Popular Data Management Tool Integrations



Workflow & Automation Tools



Connect to Money Forward Expense from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Money Forward Expense 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 Money Forward Expense from anywhere. Our Money Forward Expense drivers offer a data-centric model for Money Forward Expense 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




Data Virtualization



Our drivers provide a virtual database abstraction on top of Money Forward Expense 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 Money Forward Expense Drivers Will Do

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



Frequently Asked Money Forward Expense Driver Questions

Learn more about Money Forward Expense drivers & connectors for data and analytics integration


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

Working with a Money Forward Expense Driver is different than connecting with Money Forward Expense through other means. Money Forward Expense 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 Money Forward Expense integration code moving forward.

By comparison, our Money Forward Expense Drivers offer codeless access to live Money Forward Expense data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Money Forward Expense 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 Money Forward Expense data. We manage all of the complexities of Money Forward Expense 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 Money Forward Expense, 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 Money Forward Expense driver offers full-featured Money Forward Expense data connectivity. The CData Money Forward Expense drivers support extensive Money Forward Expense integration, providing access to all of the Money Forward Expense 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 Money Forward Expense 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 Money Forward Expense driver contains a full SQL-92 compliant engine that translates standard SQL queries into Money Forward Expense API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Money Forward Expense as possible. Any logic that can not be pushed to Money Forward Expense is handled transparently client-side by the driver/connector engine. Ultimately, this means that Money Forward Expense looks and acts exactly like a database to any client application or tool. Users can integrate live Money Forward Expense connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Money Forward Expense drivers and connectors, Money Forward Expense 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 Money Forward Expense data connectivity. Explore some of the more popular Money Forward Expense data integrations online.

Money Forward Expense 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 Money Forward Expense 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.



Industry-Leading Support

Support is not just a part of our business, support is our business. Whenever you need help, please consult the resources below: