Redshift Drivers & Connectors
for Data Integration

Connect to live Amazon Redshift databases from BI, analytics, and reporting tools through bi-directional data drivers. Easily integrate Redshift data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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BI & Analytics

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best Redshift Drivers Will Do

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

Frequently Asked Redshift Driver Questions

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

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

Working with a Redshift Driver is different than connecting with Redshift through other means. Redshift 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 Redshift integration code moving forward.

By comparison, our Redshift Drivers offer codeless access to live Redshift data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Redshift 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 Redshift data. We manage all of the complexities of Redshift 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 Redshift via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Redshift from any of the available Cloud Drivers and Client Applications. Connectivity to Redshift is managed in the cloud, and you never have to worry about installing new drivers when Redshift 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 Redshift, 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 Redshift driver offers full-featured Redshift data connectivity. The CData Redshift drivers support extensive Redshift integration, providing access to all of the Redshift 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 Redshift 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 Redshift driver contains a full SQL-92 compliant engine that translates standard SQL queries into Redshift API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Redshift as possible. Any logic that can not be pushed to Redshift is handled transparently client-side by the driver/connector engine. Ultimately, this means that Redshift looks and acts exactly like a database to any client application or tool. Users can integrate live Redshift connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Redshift drivers and connectors, Redshift 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 Redshift data connectivity. Explore some of the more popular Redshift data integrations online.

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

Redshift Analytics and Redshift 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 Redshift 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.

Redshift 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 Redshift data any database or data warehouse, and maintain parity between systems with automated incremental Redshift replication. In addition, our Redshift 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 Redshift with Excel is by using the CData Connect Cloud Excel Add-In. The Redshift Excel Add-In provides easy Redshift integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Redshift from the easy-to-use cloud interface, and access Redshift just like you would another native Excel data source.