Struggling to choose between CData ODBC Drivers and Data Virtuality? Both products offer unique advantages, making it a tough decision.
CData ODBC Drivers is a Development solution with tags like odbc, database, connectivity, drivers.
It boasts features such as Provides ODBC drivers to connect to various data sources like Salesforce, SharePoint, Dynamics 365, etc, Allows executing SQL queries against these data sources, Supports reading, inserting, updating, and deleting data in these sources, Works with various BI and analytics tools like Tableau, Power BI, Excel, etc that support ODBC connectivity and pros including Easy to set up and use, Standard ODBC interface makes it easy to connect, Works with many data sources and BI tools, Allows accessing data sources using SQL instead of proprietary APIs, Good performance and stability.
On the other hand, Data Virtuality is a Business & Commerce product tagged with etl, data-virtualization, data-management.
Its standout features include Data integration and ETL, Data virtualization and federation, Connects to diverse data sources, Unified access to distributed data, Data modeling and mapping, Data quality functions, Metadata management, Monitoring and management console, and it shines with pros like Integrates data from many sources, Provides real-time data access, Improves data quality, Reduces data duplication, Easy to use graphical interface, Scalable architecture.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
CData ODBC Drivers provide standard ODBC connectivity to a wide range of applications and data sources. The drivers allow you to access, modify, and update data from solutions like Salesforce, SharePoint, Dynamics 365, and more using SQL queries.
Data Virtuality is a data integration and data management platform that connects various data sources and makes data available for analytics and applications. It offers ETL capabilities as well as data virtualization to provide unified access to distributed data.