Pinterest Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best Pinterest Drivers Will Do

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

Frequently Asked Pinterest Driver Questions

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

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

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

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

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

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

Pinterest 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 Pinterest 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.

Pinterest 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 Pinterest data any database or data warehouse, and maintain parity between systems with automated incremental Pinterest replication. In addition, our Pinterest 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 Pinterest integration. These Add-Ins provide live access to Pinterest data directly from Microsoft Excel.