CData JDBC Drivers vs Data Virtuality

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

CData JDBC Drivers is a Development solution with tags like jdbc, database, connector, java.

It boasts features such as 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 pros including 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.

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.

Feature	CData JDBC Drivers	Data Virtuality
Overall Score	N/A	N/A
Primary Category	Development	Business & Commerce

Product Overview

CData JDBC Drivers

Description: 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.

Data Virtuality

Description: 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.

Key Features Comparison

CData JDBC Drivers Features

• 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

Data Virtuality Features

• 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

Pros & Cons Analysis

CData JDBC Drivers

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

Data Virtuality

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

Pricing Comparison

CData JDBC Drivers

• Subscription-Based
• Pay-As-You-Go

Data Virtuality

• Subscription-Based
• Pay-As-You-Go