Box Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best Box Drivers Will Do

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

Frequently Asked Box Driver Questions

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

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

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

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

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

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

Box 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 Box 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.

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