CData ODBC Drivers vs Invantive Data Hub

Struggling to choose between CData ODBC Drivers and Invantive Data Hub? 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, 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 ODBC Drivers

CData ODBC Drivers

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.

Categories:
odbc database connectivity drivers

CData ODBC Drivers Features

  1. Provides ODBC drivers to connect to various data sources like Salesforce, SharePoint, Dynamics 365, etc
  2. Allows executing SQL queries against these data sources
  3. Supports reading, inserting, updating, and deleting data in these sources
  4. Works with various BI and analytics tools like Tableau, Power BI, Excel, etc that support ODBC connectivity

Pricing

  • Subscription-Based

Pros

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

Cons

Requires an annual subscription for continued use

Limited documentation and support resources

Drivers for less common data sources may have limitations

Some compatibility issues with newer data source versions

Steep learning curve for advanced configuration


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