Connect Microsoft R Open to your data source with our ODBC connectors

Microsoft R Open is a free and open-source platform for statistical analysis and data science. Developed by Microsoft, it offers enhanced performance and scalability for handling large datasets.

Devart provides ODBC connectors that allow Microsoft R Open to access popular database systems, such as Microsoft SQL Server, MySQL, PostgreSQL, and others, ensuring reliable, consistent, and secure data processing. This integration makes it easy to retrieve, manipulate, and analyze data directly from these databases.

Key Features

Direct mode

Get native connection to traditional databases and cloud-based services from Microsoft R Open using an ODBC driver. There is no need to use client software to establish a Microsoft R Open ODBC connection and fetch your sales figures table from databases such as Oracle, MySQL, PostgreSQL, or cloud services such as Salesforce, QuickBooks, or Zoho CRM.

SQL data type mapping

Get full support and mapping of data source-specific SQL data types to the standard ODBC data types. Access diverse data stores from Microsoft R Open through a unified interface with exceptional speed. Create custom mappings between data source fields and ODBC data types.

ODBC Driver features for Microsoft R Open

Secure connection

Devart ODBC Drivers use SSL / SSH and HTTPS tunneling to protect user data as it flows between a remote server and Microsoft R Open over the Internet. Tunneling allows you to send communications securely between machines.

ANSI SQL-92 standard support for cloud services

Devart ODBC Drivers address one of the major challenges of retrieving data from email marketing, CRM, accounting, and other cloud applications into Microsoft R Open: their lack of adequate API support for SQL-92 standard SQL commands. Our drivers are designed to get the most out of cloud service APIs.

How to connect Microsoft R Open to ODBC data source and access data in 3 steps

01. Install the driver and configure an ODBC data source in driver settings. Verify the connection by clicking Test Connection and save the DSN by clicking OK in the dialog.

02. Start the Microsoft R Open console to read the data from the required table. First, load the DBI and ODBC packages by selecting Packages > Load packages in the console.

03. Connect to the DSN using the dbConnect(odbc::odbc(), dsn = "your_dsn") function. Then, retrieve data using the dbReadTable(con, "table_name") function.

Retrieve ODBC table data to Microsoft R Open

Why pick Devart ODBC Drivers for importing data to Microsoft R Open?

Fully Unicode-compliant ODBC Drivers

Unicode is the universal standard for encoding characters in most languages. Our ODBC Drivers provide a Unicode-compliant way to work with strings and characters in databases: they can map Unicode function calls and string data types to ANSI encoding.

All major versions of data stores are supported

Our ODBC Drivers can be used to interact and perform SQL CRUD operations on popular traditional databases and cloud services from Microsoft R Open, such as MySQL, Oracle, PostgreSQL, Salesforce, or Mailchimp.

Regular feature update rollouts and timely bug fixes

Regular feature updates and timely bug fixes

We frequently release new versions of ODBC Drivers with new capabilities or enhancements for already existing features. Changes and new features are added to the roadmap based on customer feedback. Bug fixes and minor improvements are released as nightly builds to resolve issues in a timely fashion.

Strict compliance with Microsoft ODBC 3.51 Specification

Our ODBC Drivers provide full support for the standard Open Database Connectivity API functions and data types. ODBC interface allows Microsoft R Open to connect to ODBC databases using the SQL language. Additionally, we have designed Advanced Connection String parameters that implement different types of behavior.

Exceptional SQL query performance and bulk updates

Our ODBC Drivers allow you to perform bulk record update in Microsoft R Open in a single update statement while maintaining decent update speed. When you need to update a table with a million of records, you can use a single update operation which significantly reduces execution time compared to row-by-row operations.

Team of expert support engineers and community of developers

Contact our friendly, knowledgeable support team for assistance if you have any questions about using our ODBC Drivers with Tableau or join our forum to discuss anything related to the database application development with other professional developers.