Download CData Drivers for Databricks v24.0.9175 (13 Feb 2025) All Platforms + License Key

CData Drivers for Databricks stand as a paramount solution for developers and data professionals aiming to achieve seamless and high-performance connectivity to Databricks environments. These drivers provide a feature-rich set of tools to bridge the gap between applications and Databricks clusters, empowering users to efficiently integrate, query, and analyze data within their preferred development environments. With support for popular programming languages and data access standards, CData Drivers for Databricks offers a comprehensive solution for harnessing the power of Databricks in diverse application scenarios.

One of the standout features of CData Drivers for Databricks is their compatibility with various programming languages, including Java, Python, C#, and more. This lets developers choose the language that aligns with their application requirements, fostering a flexible and versatile connectivity solution. Whether working with big data analytics, machine learning, or general data processing tasks, these drivers ensure a seamless connection between applications and Databricks clusters, facilitating a smooth development experience.

CData Drivers for Databricks prioritize performance optimization, ensuring efficient data access and transfer between applications and Databricks environments. With support for query folding and bulk data loading, these drivers are engineered to enhance the speed and responsiveness of data interactions. This is particularly crucial for scenarios involving large-scale data processing, where optimization is critical to maintaining a high level of performance.

Security is a paramount consideration in data-driven applications, and CData Drivers for Databricks address this concern by providing robust security features. These drivers support authentication methods such as OAuth, ensuring secure access to Databricks clusters. Integrating industry-standard security measures enhances the overall reliability and trustworthiness of the data connectivity solution, making it suitable for applications dealing with sensitive information.

CData Drivers for Databricks seamlessly integrate with popular development tools and environments, ensuring a smooth workflow for developers. By supporting data access standards like ODBC (Open Database Connectivity) and JDBC (Java Database Connectivity), these drivers enable compatibility with a wide range of tools and platforms, enhancing the accessibility and usability of Databricks in different development scenarios. In summary, CData Drivers for Databricks provide a robust and versatile solution for achieving efficient and secure connectivity to Databricks clusters, empowering developers to harness the full potential of their data-driven applications.

This package includes the following components:

• Databricks ADO.NET Provider
• Databricks BizTalk Adapter
• Databricks Data Cmdlets
• Databricks FireDAC Components
• Databricks JDBC Driver
• Databricks MuleSoft Connector
• Databricks ODBC Driver
• Databricks Power BI Connector
• Databricks SSIS Components
• Databricks Tableau Connector
• Excel Add-In for Databricks

Key Features of CData Drivers for Databricks:

1. Multi-Language Support: CData Drivers for Databricks support various programming languages, including Java, Python, C#, and others, allowing developers to choose the language that best suits their application requirements.

2. Compatibility with Data Access Standards: The drivers support industry-standard data access standards such as ODBC (Open Database Connectivity) and JDBC (Java Database Connectivity), ensuring compatibility with various development tools and platforms.

3. Performance Optimization: CData Drivers for Databricks are optimized for high performance, supporting features like query folding and bulk data loading. These optimizations enhance the speed and efficiency of data interactions, which is crucial for handling large-scale data processing tasks.

4. Security Features: The drivers prioritize security with support for authentication methods such as OAuth, ensuring secure access to Databricks clusters. Robust security measures enhance the overall reliability and trustworthiness of the data connectivity solution.

5. Integration with Popular Development Tools: CData Drivers for Databricks seamlessly integrate with popular development tools and environments, facilitating a smooth workflow for developers. This integration enhances the accessibility and usability of Databricks in different development scenarios.

6. Flexibility in Deployment: The drivers offer flexibility in deployment, allowing developers to seamlessly integrate Databricks connectivity into their applications, whether they are building desktop, web, or mobile solutions.

7. Query Folding: CData Drivers for Databricks support query folding, allowing certain operations to be executed directly within the Databricks cluster. This optimization enhances the efficiency of queries and data retrieval.

8. Bulk Data Loading: The drivers support bulk data loading, enabling the efficient transfer of large volumes of data between applications and Databricks clusters. This feature is particularly beneficial for scenarios involving significant data migration or synchronization.

9. Data Type Mapping: CData Drivers for Databricks provide robust data type mapping capabilities, ensuring accurate and consistent data representation between applications and Databricks environments.

10. Detailed Logging and Monitoring: The drivers offer detailed logging and monitoring capabilities, allowing developers and administrators to analyze and optimize data access performance. Monitoring tools enable users to identify potential bottlenecks and enhance overall system efficiency.

11. Cross-Platform Compatibility: CData Drivers for Databricks are designed for cross-platform compatibility, supporting deployment on different operating systems, including Windows, Linux, and macOS.

12. Regular Updates and Support: The drivers benefit from regular updates, ensuring compatibility with the latest Databricks features and providing ongoing user support.

Click on the links below to Download the latest version of CData Drivers for Databricks with License Key!