Snowflake ODBC Driver for Microsoft Visual Studio Connection

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

Snowflake Key Features

Open source
Low memory leakage problem
Support for multiple table types
Platform Independent

Microsoft Visual Studio Key Features

Integrated development environment
Database development features
Seamless integration with source control
Extensibility and ecosystem

Direct Connection

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

What are some reasons to choose Devart ODBC Driver for Snowflake?

Integration

ODBC Driver for Snowflake is compatible with Microsoft Visual Studio allowing extraction of data by executing SQL statements.

Platforms Variety

ODBC Driver for Snowflake 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 Snowflake 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 Snowflake?

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 Snowflake from Microsoft Visual Studio via ODBC Driver

Secure Connection

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

Working with Microsoft Visual Studio using Multiple Functions

Using Microsoft Visual Studio, 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 Snowflake from Microsoft Visual Studio on various platforms.

Simple SQL Querying on Microsoft Visual Studio Files

Microsoft Visual Studio 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 Visual Studio

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