JSON Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing



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

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

Workflow & Automation Tools



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

Our drivers and adapters provide straightforward access to JSON 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 JSON from anywhere. Our JSON drivers offer a data-centric model for JSON 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



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


When Only the Best JSON Drivers Will Do

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



Frequently Asked JSON Driver Questions

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


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

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

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

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

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

JSON 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 JSON 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.

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