Wave Financial Drivers & Connectors
for Data Integration

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

Working with a Wave Financial Driver is different than connecting with Wave Financial through other means. Wave Financial 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 Wave Financial integration code moving forward.

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

Using the CData Wave Financial drivers and connectors, Wave Financial 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 Wave Financial data connectivity. Explore some of the more popular Wave Financial data integrations online.

Wave Financial 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 Wave Financial 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.

Wave Financial 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 Wave Financial data any database or data warehouse, and maintain parity between systems with automated incremental Wave Financial replication. In addition, our Wave Financial drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

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