Data Virtuality vs CData JDBC Drivers

Struggling to choose between Data Virtuality and CData JDBC Drivers? Both products offer unique advantages, making it a tough decision.

Data Virtuality is a Business & Commerce solution with tags like etl, data-virtualization, data-management.

It boasts features such as 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 pros including Integrates data from many sources, Provides real-time data access, Improves data quality, Reduces data duplication, Easy to use graphical interface, Scalable architecture.

On the other hand, CData JDBC Drivers is a Development product tagged with jdbc, database, connector, java.

Its standout features include Connect to 100+ data sources like Salesforce, Office 365, Dynamics 365, SharePoint, SQL Server, Oracle, MySQL, etc from Java applications, Access live data from databases and cloud apps without coding using standard SQL queries, Integrated support for JDBC APIs, High-performance data connectivity using optimized native drivers, Support for OAuth 2.0 authentication for secured access, SSL/TLS encryption for secure data transfer, Cross-platform support for Windows, Linux, macOS, and it shines with pros like Easy integration with existing Java/JDBC applications, No need to code custom connectors or APIs, Real-time access to live data from multiple sources, High performance due to optimized drivers, Secure access with OAuth 2.0 and SSL/TLS encryption, Saves development time and costs compared to custom coding.

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.

Data Virtuality

Data Virtuality

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.

Categories:
etl data-virtualization data-management

Data Virtuality Features

  1. Data integration and ETL
  2. Data virtualization and federation
  3. Connects to diverse data sources
  4. Unified access to distributed data
  5. Data modeling and mapping
  6. Data quality functions
  7. Metadata management
  8. Monitoring and management console

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Integrates data from many sources

Provides real-time data access

Improves data quality

Reduces data duplication

Easy to use graphical interface

Scalable architecture

Cons

Can have a steep learning curve

Limited community support

Not ideal for large-scale big data needs

Lacks some advanced data science capabilities


CData  JDBC Drivers

CData JDBC Drivers

CData JDBC Drivers provide access to live data in databases and applications from Java applications. They allow connecting to data sources like Salesforce, Office 365, Dynamics 365, SharePoint, SQL Server, Oracle, MySQL and more without coding or changing existing applications.

Categories:
jdbc database connector java

CData JDBC Drivers Features

  1. Connect to 100+ data sources like Salesforce, Office 365, Dynamics 365, SharePoint, SQL Server, Oracle, MySQL, etc from Java applications
  2. Access live data from databases and cloud apps without coding using standard SQL queries
  3. Integrated support for JDBC APIs
  4. High-performance data connectivity using optimized native drivers
  5. Support for OAuth 2.0 authentication for secured access
  6. SSL/TLS encryption for secure data transfer
  7. Cross-platform support for Windows, Linux, macOS

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Easy integration with existing Java/JDBC applications

No need to code custom connectors or APIs

Real-time access to live data from multiple sources

High performance due to optimized drivers

Secure access with OAuth 2.0 and SSL/TLS encryption

Saves development time and costs compared to custom coding

Cons

Requires purchase of licenses based on number of end users/data sources

Limited trial version only allows access to a few data sources

Requires some knowledge of SQL for querying data sources

Not open source unlike some JDBC drivers