Microsoft Excel Online ODBC Driver for RStudio Connection

Accessing the Microsoft Excel Online database can be fast and seamless by using the Open Database Connectivity (ODBC) solution. Providing full interoperability, the ODBC driver for Microsoft Excel Online allows you to access live Microsoft Excel Online data directly from RStudio. It enables you to retrieve data to RStudio, and review and modify these data right in this application.

Microsoft Excel Online Key Features

Data sharing
Cloud storage
Real-time collaboration
Basic data visualization

RStudio Key Features

Comprehensive IDE for R
Powerful data visualization
Project management capabilities
Code completion and syntax highlighting

Native Connectivity to Microsoft Excel Online

Direct Connection

Our data connector enables various ODBC-aware applications to establish a direct connection to Microsoft Excel Online via TCP/IP to eliminate the need for a Microsoft Excel Online client. A direct connection increases the speed of data transmission between RStudio and Microsoft Excel Online for real-time analytics. It streamlines the deployment process since there is no need to distribute any additional client-side software with the ODBC driver for Microsoft Excel Online.

What are some reasons to choose Devart ODBC Driver for Microsoft Excel Online?

Integration

ODBC Driver for Microsoft Excel Online is compatible with RStudio allowing extraction of data by executing SQL statements.

Platforms Variety

ODBC Driver for Microsoft Excel Online can be used with 32-bit and 64-bit applications on both x32 and x64 platforms, so there is no need to additionally configure the driver, applications, or environment.

Fully Unicode-Compliant Driver

With our fully Unicode-compliant driver, you can properly retrieve and modify any data in multilingual Microsoft Excel Online databases, regardless of their character set: Latin, Cyrillic, Hebrew, Chinese, etc., and in any language environment.

How to download, install, and configure ODBC Driver for Microsoft Excel Online?

Windows

Step 1. Download and install the driver

Download the driver. Run the installer and follow the instructions in the wizard. Open ODBC Data Sources. In the System DSN tab, click Add. Select the needed driver and click Finish.

Step 2. Activate the driver

In the License tab of the Configuration dialog, click Input Activation Key and enter your key. Click OK.

Step 3. Configure the Data Source Name (DSN)

In the General tab of the Configuration dialog, fill in the fields with the database connection data. To test the connectivity, click Test Connection. To save the DSN, click OK.

Advantages of Connectivity to Microsoft Excel Online from RStudio via ODBC Driver

Secure Connection

Every operation with Microsoft Excel Online becomes significantly faster using such capabilities of our driver as local data caching, connection pooling, and much more.

Working with RStudio using Multiple Functions

Using RStudio, you can create tables, add data, select, delete, sort, edit, combine data from several database tables, and find unique values quickly and easily.

ODBC Conformance

The driver fully supports the ODBC interface, its data types, and functions. It offers advanced connection string parameters and allows any ODBC-compliant desktop or web application to connect to Microsoft Excel Online from RStudio on various platforms.

Simple SQL Querying on RStudio Files

RStudio processes SQL through its SQL dialect. Using ODBC connection, it is simple to execute different SQL queries to retrieve entire tables or specific columns from Excel, filter data, format data, numbers, etc.

Cost-Effective Deployment

Installing the driver is easy with the standalone installation file. There is no need in deploying and configuring any additional software which results in a reduction in deployment costs.

Sharing Your Data with RStudio

You can share your data with other users in RStudio quickly and easily. Upload your RStudio data to the SharePoint lists so that it can be available for you and others to use to create reports, data models, dashboards, etc.