CData ODBC Drivers vs Invantive Data Access Point

Struggling to choose between CData ODBC Drivers and Invantive Data Access Point? 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 Access Point is a Business & Commerce product tagged with data-virtualization, data-access, selfservice-bi, data-integration.

Its standout features include Unified data access layer, Connects to various data sources like databases, files, applications, Data virtualization and transformation, Self-service BI enablement, Data modeling, mapping and publishing, and it shines with pros like Simplifies data access and integration, Provides unified view of disparate data sources, Enables self-service BI without moving data, Reduces dependency on IT for data access, Low code/no code environment.

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 Access Point

Invantive Data Access Point

Invantive Data Access Point is a data virtualization and data access platform that allows connecting to various data sources and providing a unified data access layer. It enables self-service BI and simplifies data access.

Categories:
data-virtualization data-access selfservice-bi data-integration

Invantive Data Access Point Features

  1. Unified data access layer
  2. Connects to various data sources like databases, files, applications
  3. Data virtualization and transformation
  4. Self-service BI enablement
  5. Data modeling, mapping and publishing

Pricing

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

Pros

Simplifies data access and integration

Provides unified view of disparate data sources

Enables self-service BI without moving data

Reduces dependency on IT for data access

Low code/no code environment

Cons

Steep learning curve

Requires expertise to set up and configure

Limited pre-built data connectors

Not optimized for large data volumes

Lacks capabilities of full ETL tools