Confluence Cloud ODBC Driver for Microsoft Access Connection

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

Confluence Cloud Key Features

Customization and flexibility
Forecasting and analytics
Files sync and share
Sales automation

Microsoft Access Key Features

Database management
Forms and reports
Query builder and SQL support
Integration with other Microsoft Office applications

Direct Connection

Our data connector enables various ODBC-aware applications to establish a direct connection to Confluence Cloud via TCP/IP to eliminate the need for a Confluence Cloud client. A direct connection increases the speed of data transmission between Microsoft Access and Confluence Cloud 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 Confluence Cloud.

What are some reasons to choose Devart ODBC Driver for Confluence Cloud?

Integration

ODBC Driver for Confluence Cloud is compatible with Microsoft Access allowing extraction of data by executing SQL statements.

Platforms Variety

ODBC Driver for Confluence Cloud 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 Confluence Cloud 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 Confluence Cloud?

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 Confluence Cloud from Microsoft Access via ODBC Driver

Secure Connection

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

Working with Microsoft Access using Multiple Functions

Using Microsoft Access, 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 Confluence Cloud from Microsoft Access on various platforms.

Simple SQL Querying on Microsoft Access Files

Microsoft Access 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 Microsoft Access

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