ODBC Driver for Snowflake

Devart ODBC Driver for Snowflake is a high-performance data integration connector for developers and data analysts that offers enterprise-level features for accessing Snowflake from ODBC-compliant reporting, analytics, BI, and ETL tools.

The Driver enables various ODBC-aware applications to connect to Snowflake directly over HTTPS. If direct access to Snowflake via HTTPS is unavailable, you can establish a connection through a proxy server instead.

  • Verified compatibility with multiple BI and ETL tools
  • Quick access to real-time data
  • Bulk operations support for improved efficiency
  • Full Unicode support
How ODBC Driver for Snowflake works

Snowflake-specific SQL

Our ODBC Driver supports all Snowflake-specific SQL expressions, including functions and operations, as well as all Snowflake data types. Below are some examples of supported Snowflake functions:

  • Aggregate functions
  • Window functions
  • Date & time functions
  • String & binary functions
  • Semi-structured functions
  • Geospatial functions
  • Conversion functions
  • Hash functions
Snowflake standard SQL

Features

Compatibility with multiple applications

Broad tool compatibility

The Driver works with 200+ ODBC-compliant applications, including Power BI, Tableau, Excel, and DBeaver, letting you access Snowflake data from your preferred environment.

Support for data manipulation operations

Support for DML operations

The ODBC Driver provides full support for INSERT, UPDATE, DELETE, and MERGE statements, enabling direct read and write access to Snowflake data without additional middleware.

Support for bulk data updates

Bulk data operations

Our Driver efficiently reads and writes large volumes of Snowflake data in a single operation, reducing round trips and improving throughput for ETL and data migration workflows.

Full compliance with ODBC standards

Full ODBC compliance

The ODBC standard is fully implemented, including API functions, data types, and connection string parameters, ensuring consistent behavior across all platforms.

Storing metadata locally for faster access

Metadata caching

In the ODBC Driver, Snowflake schema information is cached locally to accelerate repeated metadata lookups and reduce the number of API calls made to the server.

Reuse of connections

Connection pooling

The Driver reuses existing database connections across requests, reducing overhead and improving performance in high-concurrency application environments.

Full support for ODBC functions data types and standards

Foreign keys retrieval

Foreign key relationships between Snowflake tables are exposed, enabling BI tools and query builders to automatically resolve joins and navigate related data structures.

Data type mapping for precise data exchange

Advanced data conversion

The Driver enables advanced bidirectional mapping between Snowflake and ODBC data types, ensuring accurate data exchange across all integrated tools and environments.

Pricing

ODBC Driver for Snowflake

Starts from

$109.95
per year
Try the Driver

Key features:

  • Simple installation in a few clicks (no additional software required)
  • Integration with 200+ tools
  • OEM licensing model available
  • Priority support available
  • Instant access to real-time data from any location
  • Secure HTTPS connections with proxy support

ODBC Drivers Universal Bundle

Starts from

$499.95
per year
Try the Universal Bundle

Key features:

  • Support for all 92 ODBC Drivers
  • Easy access to live data from anywhere
  • Full support for standard ODBC API functions and data types
  • No need for database client libraries
  • Support for ODBC-compliant reporting, analytics, BI, and ETL tools
  • Secure connections via SSL, SSH, and HTTPS tunneling

Verified compatibility with 200+ tools

Devart ODBC Drivers are verified to be compatible with leading analytics and reporting tools, various IDEs and programming languages. Get fast and secure access to your data in any application using our ODBC Drivers!

Tools and solutions for managing and working with databases

Database management solutions

Software solutions for business intelligence and data analytics

Business intelligence and data analytics

Software solutions for working with and managing documents

Document management software

Tools and environments for application development and integration

Application development tools

Roles

Hand holding a pen and pointing at a sheet of paper

Managers and analysts

Access, analyze, and report on data from Snowflake cloud data warehouses via ODBC using familiar BI, analytics, and reporting tools. Efficiently connect to your data sources, execute queries, and benefit from data-powered insights without requiring direct knowledge of Snowflake's internal architecture.

IT & data teams

Configure connections, control access, monitor performance, and ensure stable data exchange between Snowflake and your internal systems or third-party platforms.

Developers

Rely on real-time Snowflake data accessible via a consistent ODBC interface to build and deploy applications in SQL, C++, Python, .NET, and other languages.

ODBC Universal Bundle

Get high-performance ODBC Drivers for 92 databases and cloud services in a single Universal Bundle with a 95% discount

Download the Universal Bundle

Other ODBC Drivers for data warehouses

ODBC Driver for Amazon Redshift Amazon Redshift ODBC Driver for Azure SQL Data Warehouse Azure SQL Data Warehouse ODBC Driver for Azure Synapse Analytics Azure Synapse Analytics ODBC Driver for Google BigQuery Google BigQuery ODBC Driver for QuestDB QuestDB ODBC Driver for SQL Azure SQL Azure

Ready to get started?

Get a 30-day free trial now

Get a 30-day free trial now

You can download our ODBC Driver for a free 30-day trial. It is a great way to see the Driver in action with no hurry.

Get a free trial now
Enjoy bulk discounts

Enjoy bulk discounts

We offer flexible options to meet your budget in the optimal way. You can get bulk discounts for multiple purchases.

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Need a hand?

Need a hand?

If you need any help or have questions about our connectivity solutions or purchasing options, feel free to get in touch.

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FAQ

How do I install the ODBC Driver for Snowflake?

To install the ODBC Driver for Snowflake, download the installation package from the Devart website. Run the executable and follow the installation wizard, entering your activation key when prompted. After installation, create a DSN in the ODBC Data Source Administrator to configure your connection to Snowflake.

How do I use ODBC with Snowflake?

Once the Driver is installed and a DSN is configured, any ODBC-compliant application can connect to Snowflake using that DSN. In tools like Power BI, Excel, or DBeaver, select ODBC as the connection type and choose your Snowflake DSN from the list. You can then query Snowflake data using standard SQL statements—including Snowflake-specific functions and expressions—directly from your preferred application or environment.

Can I use the ODBC Driver for Snowflake without installing additional client software?

Yes. The Devart ODBC Driver for Snowflake connects directly to Snowflake over HTTPS without requiring any additional Snowflake client libraries or SDKs. The Driver is a standalone installation that handles all communication with Snowflake internally, reducing deployment complexity and costs.

Does the Driver support Snowflake-specific SQL functions and data types?

Yes. The Driver provides full support for Snowflake-specific SQL expressions, functions, and data types, including aggregate, array, datetime, geography, JSON, navigation, net, and hash functions. This ensures that queries using Snowflake-native syntax execute correctly through the ODBC interface without any modification.

How does the Driver perform with large Snowflake data warehouses?

The Driver is optimized for high-performance access to large Snowflake datasets through local data caching, connection pooling, and bulk data operations. These capabilities reduce round trips to the server, minimize connection overhead, and improve throughput for ETL pipelines, data migration workflows, and analytics queries running against large volumes of data.