IBM Cloud Data Engine Drivers & Connectors
for Data Integration

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

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

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

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

IBM Cloud Data Engine 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 IBM Cloud Data Engine 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.

IBM Cloud Data Engine 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 IBM Cloud Data Engine data any database or data warehouse, and maintain parity between systems with automated incremental IBM Cloud Data Engine replication. In addition, our IBM Cloud Data Engine 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 IBM Cloud Data Engine integration. These Add-Ins provide live access to IBM Cloud Data Engine data directly from Microsoft Excel.