CData JDBC Drivers vs Invantive Data Access Point

Struggling to choose between CData JDBC Drivers and Invantive Data Access Point? 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 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  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 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