PayPal Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best PayPal Drivers Will Do

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

Frequently Asked PayPal Driver Questions

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

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

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

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

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

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

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

PayPal Analytics and PayPal 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 PayPal 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.

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