IBM Cloud Data Engine Drivers & Connectors
for Data Integration

Connect to IBM Cloud Data Engine service from other reporting tools, databases, and custom applications through standards-based drivers. Easily integrate IBM Cloud Data Engine data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


Decorative Icon IBM Cloud Data Engine Logo


Other Technologies



BI & Analytics



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

ETL, Replication, & Warehousing



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

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


Popular Data Warehousing Integrations



Amazon Redshift: Automated Continuous IBM Cloud Data Engine Replication to Amazon Redshift Amazon S3: Automated Continuous IBM Cloud Data Engine Replication to Amazon S3 Apache Airflow: Bridge IBM Cloud Data Engine Connectivity with Apache Airflow Apache Camel: Integrate with IBM Cloud Data Engine using Apache Camel Apache Cassandra: Automated Continuous IBM Cloud Data Engine Replication to Apache Cassandra Apache Kafka: Automated Continuous IBM Cloud Data Engine Replication to Apache Kafka Apache NiFi: Bridge IBM Cloud Data Engine Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with IBM Cloud Data Engine Data in Apache NiFi Azure Data Lake: Automated Continuous IBM Cloud Data Engine Replication to Azure Data Lake Azure Synapse: Automated Continuous IBM Cloud Data Engine Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate IBM Cloud Data Engine to SQL Server CloverDX: Connect to IBM Cloud Data Engine in CloverDX (formerly CloverETL) Couchbase: Automated Continuous IBM Cloud Data Engine Replication to Couchbase CSV: Automated Continuous IBM Cloud Data Engine Replication to Local Delimited Files Databricks: Automated Continuous IBM Cloud Data Engine Replication to Databricks FoxPro: Work with IBM Cloud Data Engine in FoxPro Google AlloyDB: Automated Continuous IBM Cloud Data Engine Replication to Google AlloyDB Google BigQuery: Automated Continuous IBM Cloud Data Engine Replication to Google BigQuery Google Cloud SQL: Automated Continuous IBM Cloud Data Engine Replication to Google Cloud SQL Google Data Fusion: Build IBM Cloud Data Engine-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate IBM Cloud Data Engine for Use in Salesforce Connect HULFT Integrate: Connect to IBM Cloud Data Engine in HULFT Integrate IBM DB2: Automated Continuous IBM Cloud Data Engine Replication to IBM DB2 Informatica Cloud: Integrate IBM Cloud Data Engine in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for IBM Cloud Data Engine Jaspersoft ETL: Connect to IBM Cloud Data Engine in Jaspersoft Studio Microsoft Access: Automated Continuous IBM Cloud Data Engine Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous IBM Cloud Data Engine Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to IBM Cloud Data Engine Microsoft Power Automate: Build IBM Cloud Data Engine-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous IBM Cloud Data Engine Replication to MongoDB MySQL: Automated Continuous IBM Cloud Data Engine Replication to MySQL Oracle Data Integrator: ETL IBM Cloud Data Engine in Oracle Data Integrator Oracle Database: Automated Continuous IBM Cloud Data Engine Replication to Oracle petl: Extract, Transform, and Load IBM Cloud Data Engine in Python PostgreSQL: Automated Continuous IBM Cloud Data Engine Replication to PostgreSQL Replicate to MySQL: Replicate IBM Cloud Data Engine to MySQL with PowerShell SAP HANA: Automated Continuous IBM Cloud Data Engine Replication to SAP HANA SingleStore: Automated Continuous IBM Cloud Data Engine Replication to SingleStore SnapLogic: Integrate IBM Cloud Data Engine with External Services using SnapLogic Snowflake: Automated Continuous IBM Cloud Data Engine Replication to Snowflake SQL Server: Automated Continuous IBM Cloud Data Engine Replication to SQL Server SQL Server Linked Server: Connect to IBM Cloud Data Engine Data as a SQL Server Linked Server SQLite: Automated Continuous IBM Cloud Data Engine Replication to SQLite Talend: Connect to IBM Cloud Data Engine and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to IBM Cloud Data Engine in UiPath Studio Vertica: Automated Continuous IBM Cloud Data Engine Replication to a Vertica Database

Workflow & Automation Tools



Connect to IBM Cloud Data Engine from popular data migration, ESB, iPaaS, and BPM tools.

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


When Only the Best IBM Cloud Data Engine Drivers Will Do

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



Frequently Asked IBM Cloud Data Engine Driver Questions

Learn more about IBM Cloud Data Engine drivers & connectors for data and analytics integration


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

Working with a IBM Cloud Data Engine Driver is different than connecting with IBM Cloud Data Engine through other means. IBM Cloud Data Engine 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 IBM Cloud Data Engine integration code moving forward.

By comparison, our IBM Cloud Data Engine Drivers offer codeless access to live IBM Cloud Data Engine data for both technical and non-technical users alike. Any user can install our drivers and begin working with live IBM Cloud Data Engine 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 IBM Cloud Data Engine data. We manage all of the complexities of IBM Cloud Data Engine 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 IBM Cloud Data Engine, 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 IBM Cloud Data Engine driver offers full-featured IBM Cloud Data Engine data connectivity. The CData IBM Cloud Data Engine drivers support extensive IBM Cloud Data Engine integration, providing access to all of the IBM Cloud Data Engine 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 IBM Cloud Data Engine 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 IBM Cloud Data Engine driver contains a full SQL-92 compliant engine that translates standard SQL queries into IBM Cloud Data Engine API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to IBM Cloud Data Engine as possible. Any logic that can not be pushed to IBM Cloud Data Engine is handled transparently client-side by the driver/connector engine. Ultimately, this means that IBM Cloud Data Engine looks and acts exactly like a database to any client application or tool. Users can integrate live IBM Cloud Data Engine connectivity with ANY software solution that can talk to a standard database.

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

Using the CData IBM Cloud Data Engine drivers and connectors, IBM Cloud Data Engine 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 IBM Cloud Data Engine data connectivity. Explore some of the more popular IBM Cloud Data Engine data integrations online.

IBM Cloud Data Engine 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 IBM Cloud Data Engine 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.

IBM Cloud Data Engine 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 IBM Cloud Data Engine data any database or data warehouse, and maintain parity between systems with automated incremental IBM Cloud Data Engine replication. In addition, our IBM Cloud Data Engine drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. CData offers native Excel Add-Ins for IBM Cloud Data Engine integration. These Add-Ins provide live access to IBM Cloud Data Engine data directly from Microsoft Excel.