Adobe Analytics Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing



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

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

Workflow & Automation Tools



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

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


When Only the Best Adobe Analytics Drivers Will Do

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Frequently Asked Adobe Analytics Driver Questions

Learn more about Adobe Analytics drivers & connectors for data and analytics integration


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

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

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

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

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

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

Adobe Analytics Analytics and Adobe Analytics 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 Adobe Analytics 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.

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



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