Oracle ODBC Driver

Read, Write, and Update Oracle through ODBC

Easily connect live Oracle Database data with BI, ETL, Reporting, & Custom Apps.


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The Oracle ODBC Driver is a powerful tool that allows you to connect with Oracle, directly from any applications that support ODBC connectivity. Access Oracle databases from virtually anywhere through a standard ODBC Driver interface.

Features

  • Compatible with Oracle Database 11.2 or later
  • Connect to live Oracle Database data, for real-time data access
  • Full support for data aggregation and complex JOINs in SQL queries
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications

Specifications

  • Supports 32-bit and 64-bit applications.
  • ODBC 3.8 compliant native protocol based drivers.
  • Comprehensive ANSI SQL-92 support.
  • Full Unicode Support - any language, any data.
  • Cross-platform ODBC. Available for Windows, Linux and macOS.

Windows
macOS
Unix

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225+ ODBC Drivers For Real-Time BI & Reporting.
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Where can I use the Oracle ODBC Driver?

Robust ODBC Access to Oracle Database

Full-featured and consistent SQL access to any supported data source through ODBC


  • Standards-Compliant ODBC

    ODBC 3.8 compliant native protocol based drivers.

  • Unicode, 32-bit and 64-bit support

    Support 32-bit and 64-bit applications and unicode ODBC APIs.

  • Cross-platform ODBC (Windows/Linux/Mac)

    Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.

  • Certified ODBC Compatibility*

    Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.

    * Please visit our knowledge base to access how-to articles.
  • Embedded Remoting Capabilities

    Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.

  • String, Date, Numeric SQL Functions

    The driver includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our ODBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

Enterprise-Class Remoting

MySQL/SQL Database entry points for Oracle Database Data

The CData ODBC drivers include powerful fully-integrated remote access capabilities that makes Oracle Database accessible from virtually anywhere. The drivers include the CData SQL Gateway, which can the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.

With the CData SQL Gateway, users can interact with Oracle Database data from any client that supports SQL Server or MySQL: from Web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench. Access Oracle Database from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Oracle Database with this driver.

  • Connect Oracle Database with popular BI tools like SQL Server Analysis Services.
  • Enable enterprise Oracle Database integration through SQL Linked Server connectivity
  • Includes support for the MySQL and SQL (TDS) remote access protocols, with advanced wire-protocol SSL security - industry standards for remote database connectivity.
  • Easily connect to Oracle from code (PHP, Python, Ruby, Objective-C, etc.) using one of the standard client libraries for accessing SQL/MySQL.
  • * Available exclusively in ODBC Server Licenses.

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Frequently Asked Oracle ODBC Driver Questions

Learn more about Oracle ODBC drivers for data and analytics integration


Yes, the CData ODBC driver for Oracle allows you to connect to Oracle data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:

  • Accessing Oracle from applications: Connect to Oracle data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
  • Real-time data: You can work with live Oracle data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between Oracle and other systems.

The Oracle ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the Oracle ODBC driver today to get started.

Yes, the CData ODBC driver for Oracle provides universal ODBC data connectivity for Oracle. The Oracle ODBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Oracle using a standardized set of functions. Virtually any application on any platform (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.

Connectivity to Oracle via ODBC is easy. First, download and install the Oracle ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the Oracle ODBC driver that matches the platform where you intend to use the driver.

Once the installation is complete, navigate to the ODBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Oracle via ODBC are just the beginning. The documentation also provides extensive configuration details for using the Oracle ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

All of the CData ODBC drivers, including the Oracle ODBC driver are available for download online. To get started, download a fully functional free trial of the Oracle ODBC driver today.

To install the Oracle driver, simply download one of the Oracle ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the Oracle ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the Oracle ODBC driver on your system.

The Oracle ODBC driver is available in both 32-bit and 64-bit binaries. The Oracle driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.

Absolutely. The Oracle ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to Oracle from PyCharm using pyODBC and the Oracle ODBC driver.

However, besides ODBC support, we also provide native Python data connectivity for Oracle. To learn more, check out the Oracle Python Connector online.