Snowflake Drivers & Connectors
for Data Integration

Connect to Snowflake Enterprise Data Warehouse from BI, analytics, and reporting tools through bi-directional data drivers. Easily integrate Snowflake data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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Snowflake Technology Partner Premier

Designed for Snowflake

CData is a Premier Snowflake Technology Partner, providing proven data connectivity solutions for users to easily connect and access their live Snowflake data directly within their preferred SaaS tools, analytics platforms, or custom applications.

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BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Snowflake data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Snowflake data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Snowflake in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Snowflake Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Snowflake Data in Amazon QuickSight Amazon SageMaker: Integrate Live Snowflake data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Snowflake in Aqua Data Studio AWS Databricks: Process & Analyze Snowflake Data in Databricks (AWS) Azure Analysis Services: Model Snowflake Data Using Azure Analysis Services Birst: Build Visualizations of Snowflake in Birst BIRT: Design BIRT Reports on Snowflake Clear Analytics: Build Charts with Snowflake in Clear Analytics Cognos Analytics (On-Prem): Analyze Snowflake Data in Cognos Analytics DBxtra: Build Dashboards with Snowflake in DBxtra Domo: Create Datasets from Snowflake in Domo Workbench Dundas BI: Build Dashboards with Snowflake in Dundas BI Excel (on Mac OS): Work with Snowflake Data in MS Excel on Mac OS X FineReport: Feed Snowflake into FineReport Google Sheets: Access Live Snowflake Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Snowflake Infragistics Reveal: Analyze Snowflake Data in Infragistics Reval JasperServer: Create Snowflake Reports on JasperReports Server Jaspersoft BI Suite: Connect to Snowflake in Jaspersoft Studio JReport Designer: Integrate with Snowflake in JReport Designer Klipfolio: Create Snowflake-Connected Visualizations in Klipfolio KNIME: Enable the Snowflake JDBC Driver in KNIME LINQPad: Working with Snowflake in LINQPad Looker: Analyze Snowflake Data in Looker Looker Studio: Create Reports from Snowflake Data in Looker Studio Metabase: Create Interactive Snowflake-Connected Metabase Dashboards Microsoft Excel: Access Live Snowflake Data in Excel Desktop Microsoft Excel for the Web: Access Live Snowflake Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Snowflake MicroStrategy: Connect to Live Snowflake Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Snowflake in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Snowflake in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Snowflake in MicroStrategy Web Mode Analytics: Create Snowflake-Connected Visualizations in Mode OBIEE: Snowflake Reporting in OBIEE with the Snowflake JDBC Driver pandas: Use pandas to Visualize Snowflake in Python Pentaho Report Designer: Integrate Snowflake in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Snowflake Power BI Service: Visualize Live Snowflake Data in the Power BI Service Power Pivot: Access Snowflake Data in Microsoft Power Pivot Power Query: Access Snowflake Data in Microsoft Power Query Qlik Cloud: Create Apps from Snowflake Data in Qlik Sense Cloud QlikView: Connect to and Query Snowflake in QlikView over ODBC R: Analyze Snowflake in R (JDBC) R: Analyze Snowflake in R (ODBC) RapidMiner: Connect to Snowflake in RapidMiner Redash: Build Snowflake-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Snowflake Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Snowflake SAP Crystal Reports: Publish Reports with Snowflake in Crystal Reports SAS: Use the CData ODBC Driver for Snowflake in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Snowflake in SAS JMP Sisense: Visualize Live Snowflake in Sisense Spago BI: Connect to Snowflake in SpagoBI Tableau Cloud: Build Snowflake Visualizations in Tableau Cloud TIBCO Spotfire: Visualize Snowflake in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Snowflake Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Snowflake from Spotfire Server Visio: Link Visio Shapes to Snowflake Zoho Analytics: Create Snowflake-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Snowflake connectivity to ETL/ELT tools for replication — our Snowflake integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Snowflake to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Airbyte: Connect to Snowflake Data in Airbyte ELT Pipelines Apache Airflow: Bridge Snowflake Connectivity with Apache Airflow Apache Camel: Integrate with Snowflake using Apache Camel Apache NiFi: Bridge Snowflake Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Snowflake Data in Apache NiFi AWS Glue: Build ETL Jobs with Snowflake Data in AWS Glue Jobs Azure Data Factory: Import Snowflake Data Using Azure Data Factory BIML: Use Biml to Build SSIS Tasks to Replicate Snowflake to SQL Server CloverDX: Connect to Snowflake in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Snowflake Replication to Couchbase FoxPro: Work with Snowflake in FoxPro Google Data Fusion: Build Snowflake-Connected ETL Processes in Google Data Fusion HULFT Integrate: Connect to Snowflake in HULFT Integrate Informatica Cloud: Integrate Snowflake in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Snowflake Jaspersoft ETL: Connect to Snowflake in Jaspersoft Studio Microsoft Access: Automated Continuous Snowflake Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Snowflake Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to Snowflake Microsoft Power Automate: Build Snowflake-Connected Automated Tasks with Power Automate (Desktop) Oracle Data Integrator: ETL Snowflake in Oracle Data Integrator petl: Extract, Transform, and Load Snowflake in Python Replicate to MySQL: Replicate Snowflake to MySQL with PowerShell SnapLogic: Integrate Snowflake with External Services using SnapLogic SQL Server Linked Server: Connect to Snowflake Data as a SQL Server Linked Server SQLite: Automated Continuous Snowflake Replication to SQLite Talend: Connect to Snowflake and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Snowflake in UiPath Studio

Workflow & Automation Tools



Connect to Snowflake from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Snowflake data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Snowflake from anywhere. Our Snowflake drivers offer a data-centric model for Snowflake that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



.NET Charts: DataBind Charts to Snowflake .NET QueryBuilder: Rapidly Develop Snowflake-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Snowflake Apache Spark: Work with Snowflake in Apache Spark Using SQL AppSheet: Create Snowflake-Connected Business Apps in AppSheet Bubble.io: Build Snowflake-Connected Apps in Bubble C++Builder: DataBind Controls to Snowflake Data in C++Builder Choreo: Build Custom Apps on Snowflake Data in Choreo ColdFusion: Query Snowflake in ColdFusion Using JDBC ColdFusion: Query Snowflake in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Snowflake Delphi: DataBind Controls to Snowflake Data in Delphi DevExpress: DataBind Snowflake to the DevExpress Data Grid EF - Code First: Access Snowflake with Entity Framework 6 EF - LINQ: LINQ to Snowflake EF - MVC: Build MVC Applications with Connectivity to Snowflake Filemaker Pro: Bidirectional Access to Snowflake from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Snowflake from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Snowflake on Linux Google Apps Script: Connect to Snowflake Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Snowflake Entities in Java IntelliJ: Connect to Snowflake in IntelliJ JBoss: Connect to Snowflake from a Connection Pool in JBoss JDBI: Create a Data Access Object for Snowflake using JDBI JRuby: Connect to Snowflake in JRuby Mendix: Build Snowflake-Connected Apps in Mendix Microsoft Power Apps: Integrate Live Snowflake Data into Custom Business Apps Built in Power Apps NodeJS: Query Snowflake Data in Node.js (via Connect Cloud) NodeJS: Query Snowflake through ODBC in Node.js OutSystems: Create Snowflake-Connected Enterprise Applications in OutSystems PHP: Access Snowflake in PHP through the Cloud Hub PHP: Natively Connect to Snowflake in PHP PowerBuilder: Connect to Snowflake from PowerBuilder PowerShell: Pipe Snowflake to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Snowflake in PyCharm Python: Connect to Snowflake in Python on Linux/UNIX React: Build Dynamic React Apps with Snowflake Data Ruby: Connect to Snowflake in Ruby RunMyProcess: Connect to Snowflake Data in RunMyProcess RunMyProcess DSEC: Connect to Snowflake in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Snowflake in SAPUI5 MVC Apps Servoy: Build Snowflake-Connected Apps in Servoy Spring Boot: Access Live Snowflake Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Snowflake in Python Tomcat: Configure the CData JDBC Driver for Snowflake in a Connection Pool in Tomcat Unqork: Create Snowflake-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Snowflake WebLogic: Connect to Snowflake from a Connection Pool in WebLogic


When Only the Best Snowflake Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Snowflake Driver Questions

Learn more about Snowflake drivers & connectors for data and analytics integration


Snowflake is a cloud-based data warehouse platform with a reputation for scalability and adaptability. It separates storage and processing resources, facilitates concurrent queries, and prioritizes data sharing and security. It manages structured and semi-structured data, provides high performance, and is priced on a pay-as-you-go basis. Snowflake is appropriate for a variety of organizations seeking efficient cloud-native data storage and analysis.

The Snowflake driver acts like a bridge that facilitates communication between various applications and Snowflake, allowing the application to read data as if it were a relational database. The Snowflake driver abstracts the complexities of Snowflake APIs, authentication methods, and data types, making it simple for any application to connect to Snowflake data in real-time via standard SQL queries.

Working with a Snowflake Driver is different than connecting with Snowflake through other means. Snowflake API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Snowflake integration code moving forward.

By comparison, our Snowflake Drivers offer codeless access to live Snowflake data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Snowflake data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Snowflake data. We manage all of the complexities of Snowflake integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Snowflake via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Snowflake from any of the available Cloud Drivers and Client Applications. Connectivity to Snowflake is managed in the cloud, and you never have to worry about installing new drivers when Snowflake is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Snowflake, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Snowflake driver offers full-featured Snowflake data connectivity. The CData Snowflake drivers support extensive Snowflake integration, providing access to all of the Snowflake data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Snowflake data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Snowflake driver contains a full SQL-92 compliant engine that translates standard SQL queries into Snowflake API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Snowflake as possible. Any logic that can not be pushed to Snowflake is handled transparently client-side by the driver/connector engine. Ultimately, this means that Snowflake looks and acts exactly like a database to any client application or tool. Users can integrate live Snowflake connectivity with ANY software solution that can talk to a standard database.

The Snowflake drivers and connectors offer comprehensive access to Snowflake data. Our Snowflake driver exposes static and dynamic data and metadata, providing universal access to Snowflake data for any enterprise analytics or data mangement use. To explore the Snowflake driver data model, please review the edition-specific Snowflake driver documentation.

Using the CData Snowflake drivers and connectors, Snowflake can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Snowflake data connectivity. Explore some of the more popular Snowflake data integrations online.

Additionally, since Snowflake supported by CData Connect Cloud, we enable all kinds of new Snowflake cloud integrations.

Snowflake Analytics and Snowflake Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Snowflake data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Snowflake data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Snowflake data any database or data warehouse, and maintain parity between systems with automated incremental Snowflake replication. In addition, our Snowflake drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Snowflake with Excel is by using the CData Connect Cloud Excel Add-In. The Snowflake Excel Add-In provides easy Snowflake integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Snowflake from the easy-to-use cloud interface, and access Snowflake just like you would another native Excel data source.