TigerGraph Drivers & Connectors
for Data Integration

Connect to live TigerGraph data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate TigerGraph 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 TigerGraph data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to TigerGraph 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 TigerGraph in Alteryx Designer (ODBC) Aqua Data Studio: Connect to TigerGraph in Aqua Data Studio AWS Databricks: Process & Analyze TigerGraph Data in Databricks (AWS) Birst: Build Visualizations of TigerGraph in Birst BIRT: Design BIRT Reports on TigerGraph Clear Analytics: Build Charts with TigerGraph in Clear Analytics DBxtra: Build Dashboards with TigerGraph in DBxtra Domo: Create Datasets from TigerGraph in Domo Workbench Dundas BI: Build Dashboards with TigerGraph in Dundas BI Excel (on Mac OS): Work with TigerGraph Data in MS Excel on Mac OS X FineReport: Feed TigerGraph into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with TigerGraph JasperServer: Create TigerGraph Reports on JasperReports Server Jaspersoft BI Suite: Connect to TigerGraph in Jaspersoft Studio JReport Designer: Integrate with TigerGraph in JReport Designer KNIME: Enable the TigerGraph JDBC Driver in KNIME MicroStrategy: Use the CData JDBC Driver for TigerGraph in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for TigerGraph in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for TigerGraph in MicroStrategy Web OBIEE: TigerGraph Reporting in OBIEE with the TigerGraph JDBC Driver Pentaho Report Designer: Integrate TigerGraph in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time TigerGraph QlikView: Connect to and Query TigerGraph in QlikView over ODBC R: Analyze TigerGraph in R (JDBC) R: Analyze TigerGraph in R (ODBC) RapidMiner: Connect to TigerGraph in RapidMiner SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for TigerGraph SAP Crystal Reports: Publish Reports with TigerGraph in Crystal Reports SAS: Use the CData ODBC Driver for TigerGraph in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for TigerGraph in SAS JMP Sisense: Visualize Live TigerGraph in Sisense Spago BI: Connect to TigerGraph in SpagoBI Tableau: Visualize TigerGraph in Tableau Desktop Tableau Server: Publish TigerGraph-Connected Dashboards in Tableau Server TIBCO Spotfire Server: Operational Reporting on TigerGraph from Spotfire Server

Workflow & Automation Tools

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

Our drivers and adapters provide straightforward access to TigerGraph 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 TigerGraph from anywhere. Our TigerGraph drivers offer a data-centric model for TigerGraph 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 QueryBuilder: Rapidly Develop TigerGraph-Driven Apps with Active Query Builder Apache Spark: Work with TigerGraph in Apache Spark Using SQL C++Builder: DataBind Controls to TigerGraph Data in C++Builder ColdFusion: Query TigerGraph in ColdFusion Using JDBC ColdFusion: Query TigerGraph in ColdFusion Using ODBC Delphi: DataBind Controls to TigerGraph Data in Delphi Filemaker Pro: Bidirectional Access to TigerGraph from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to TigerGraph from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with TigerGraph on Linux Hibernate: Object-Relational Mapping (ORM) with TigerGraph Entities in Java IntelliJ: Connect to TigerGraph in IntelliJ JBoss: Connect to TigerGraph from a Connection Pool in JBoss JDBI: Create a Data Access Object for TigerGraph using JDBI JRuby: Connect to TigerGraph in JRuby NodeJS: Query TigerGraph through ODBC in Node.js PHP: Natively Connect to TigerGraph in PHP PyCharm: Using the CData ODBC Driver for TigerGraph in PyCharm Python: Connect to TigerGraph in Python on Linux/UNIX Ruby: Connect to TigerGraph in Ruby RunMyProcess DSEC: Connect to TigerGraph in DigitalSuite Studio through RunMyProcess DSEC Servoy: Build TigerGraph-Connected Apps in Servoy Spring Boot: Access Live TigerGraph Data in Spring Boot Apps Tomcat: Configure the CData JDBC Driver for TigerGraph in a Connection Pool in Tomcat VCL App (RAD Studio): Build a Simple VCL Application for TigerGraph WebLogic: Connect to TigerGraph from a Connection Pool in WebLogic

Data Virtualization

Our drivers provide a virtual database abstraction on top of TigerGraph data and support popular data virtualization features like query federation through advanced capabilities for query delegation / predicate pushdown.

Learn more about how our tools can be used in popular data virtualization scenarios below:

Popular Data Virtualization Tool Integrations

When Only the Best TigerGraph Drivers Will Do

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

Frequently Asked TigerGraph Driver Questions

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

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

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

By comparison, our TigerGraph Drivers offer codeless access to live TigerGraph data for both technical and non-technical users alike. Any user can install our drivers and begin working with live TigerGraph 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 TigerGraph data. We manage all of the complexities of TigerGraph integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

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

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

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

TigerGraph Analytics 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 TigerGraph 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.