CData JDBC Drivers vs Invantive Data Hub

Struggling to choose between CData JDBC Drivers and Invantive Data Hub? 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, Invantive Data Hub is a Business & Commerce product tagged with data-virtualization, data-governance, data-access, data-integration.

Its standout features include Data virtualization and federation, Unified semantic data layer, Support for 150+ data sources, Self-service data access and governance, Data lineage and impact analysis, Data quality management, Master data management, Data catalog and metadata management, Embedded business glossary, Role-based access control, Support for cloud and on-prem sources, and it shines with pros like Unified access to distributed data, Improved data governance, Faster access to integrated data, Reduced data duplication, Single source of truth, Increased data transparency.

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  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


Invantive Data Hub

Invantive Data Hub

Invantive Data Hub is a data virtualization and data governance platform that provides integrated access to distributed data sources. It allows combining data from multiple systems into a single virtual data layer, enabling unified data access and governance across the organization.

Categories:
data-virtualization data-governance data-access data-integration

Invantive Data Hub Features

  1. Data virtualization and federation
  2. Unified semantic data layer
  3. Support for 150+ data sources
  4. Self-service data access and governance
  5. Data lineage and impact analysis
  6. Data quality management
  7. Master data management
  8. Data catalog and metadata management
  9. Embedded business glossary
  10. Role-based access control
  11. Support for cloud and on-prem sources

Pricing

  • Subscription-Based

Pros

Unified access to distributed data

Improved data governance

Faster access to integrated data

Reduced data duplication

Single source of truth

Increased data transparency

Cons

Complex implementation

Steep learning curve

Dependency on centralized platform

Limited capabilities for unstructured data