Ponparemall Drivers & Connectors
for Data Integration

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

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

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

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

Ponparemall 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 Ponparemall 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.