Neo4J Drivers & Connectors
for Data Integration

Connect to Neo4J data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Neo4J 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 Neo4J data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Neo4J 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 Neo4J in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from Neo4J Data in Amazon QuickSight Aqua Data Studio: Connect to Neo4J in Aqua Data Studio AWS Databricks: Process & Analyze Neo4J Data in Databricks (AWS) Birst: Build Visualizations of Neo4J in Birst BIRT: Design BIRT Reports on Neo4J Clear Analytics: Build Charts with Neo4J in Clear Analytics DBxtra: Build Dashboards with Neo4J in DBxtra Domo: Create Datasets from Neo4J in Domo Workbench Dundas BI: Build Dashboards with Neo4J in Dundas BI Excel (on Mac OS): Work with Neo4J Data in MS Excel on Mac OS X FineReport: Feed Neo4J into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with Neo4J Infragistics Reveal: Analyze Neo4J Data in Infragistics Reval JasperServer: Create Neo4J Reports on JasperReports Server Jaspersoft BI Suite: Connect to Neo4J in Jaspersoft Studio JReport Designer: Integrate with Neo4J in JReport Designer Klipfolio: Create Neo4J-Connected Visualizations in Klipfolio KNIME: Enable the Neo4J JDBC Driver in KNIME LINQPad: Working with Neo4J in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Neo4J MicroStrategy: Connect to Live Neo4J Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for Neo4J in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Neo4J in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Neo4J in MicroStrategy Web OBIEE: Neo4J Reporting in OBIEE with the Neo4J JDBC Driver pandas: Use pandas to Visualize Neo4J in Python Pentaho Report Designer: Integrate Neo4J in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Neo4J Power BI Service: Visualize Live Neo4J Data in the Power BI Service Power Pivot: Access Neo4J Data in Microsoft Power Pivot Power Query: Access Neo4J Data in Microsoft Power Query QlikView: Connect to and Query Neo4J in QlikView over ODBC R: Analyze Neo4J in R (JDBC) R: Analyze Neo4J in R (ODBC) RapidMiner: Connect to Neo4J in RapidMiner Redash: Build Neo4J-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Neo4J Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Neo4J SAP Crystal Reports: Publish Reports with Neo4J in Crystal Reports SAS: Use the CData ODBC Driver for Neo4J in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Neo4J in SAS JMP Sisense: Visualize Live Neo4J in Sisense Spago BI: Connect to Neo4J in SpagoBI Tableau: Visualize Neo4J in Tableau Desktop Tableau Cloud: Build Neo4J Visualizations in Tableau Cloud Tableau Server: Publish Neo4J-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Neo4J in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Neo4J Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Neo4J from Spotfire Server

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Neo4J connectivity to ETL/ELT tools for replication — our Neo4J integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Neo4J 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 Neo4J Replication to Amazon Redshift Amazon S3: Automated Continuous Neo4J Replication to Amazon S3 Apache Airflow: Bridge Neo4J Connectivity with Apache Airflow Apache Camel: Integrate with Neo4J using Apache Camel Apache Cassandra: Automated Continuous Neo4J Replication to Apache Cassandra Apache Kafka: Automated Continuous Neo4J Replication to Apache Kafka Apache NiFi: Bridge Neo4J Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Neo4J Data in Apache NiFi Azure Data Lake: Automated Continuous Neo4J Replication to Azure Data Lake Azure Synapse: Automated Continuous Neo4J Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Neo4J to SQL Server CloverDX: Connect to Neo4J in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Neo4J Replication to Couchbase CSV: Automated Continuous Neo4J Replication to Local Delimited Files Databricks: Automated Continuous Neo4J Replication to Databricks FoxPro: Work with Neo4J in FoxPro Google AlloyDB: Automated Continuous Neo4J Replication to Google AlloyDB Google BigQuery: Automated Continuous Neo4J Replication to Google BigQuery Google Cloud SQL: Automated Continuous Neo4J Replication to Google Cloud SQL Google Data Fusion: Build Neo4J-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Neo4J for Use in Salesforce Connect HULFT Integrate: Connect to Neo4J in HULFT Integrate IBM DB2: Automated Continuous Neo4J Replication to IBM DB2 Informatica Cloud: Integrate Neo4J in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Neo4J Jaspersoft ETL: Connect to Neo4J in Jaspersoft Studio Microsoft Access: Automated Continuous Neo4J Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Neo4J Replication to Azure SQL Microsoft Power Automate: Build Neo4J-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Neo4J Replication to MongoDB MySQL: Automated Continuous Neo4J Replication to MySQL Oracle Data Integrator: ETL Neo4J in Oracle Data Integrator Oracle Database: Automated Continuous Neo4J Replication to Oracle petl: Extract, Transform, and Load Neo4J in Python PostgreSQL: Automated Continuous Neo4J Replication to PostgreSQL Replicate to MySQL: Replicate Neo4J to MySQL with PowerShell SAP HANA: Automated Continuous Neo4J Replication to SAP HANA SingleStore: Automated Continuous Neo4J Replication to SingleStore SnapLogic: Integrate Neo4J with External Services using SnapLogic Snowflake: Automated Continuous Neo4J Replication to Snowflake SQL Server: Automated Continuous Neo4J Replication to SQL Server SQL Server Linked Server: Connect to Neo4J Data as a SQL Server Linked Server SQLite: Automated Continuous Neo4J Replication to SQLite Talend: Connect to Neo4J and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Neo4J in UiPath Studio Vertica: Automated Continuous Neo4J Replication to a Vertica Database

Workflow & Automation Tools



Connect to Neo4J from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Neo4J 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 Neo4J from anywhere. Our Neo4J drivers offer a data-centric model for Neo4J 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 Neo4J .NET QueryBuilder: Rapidly Develop Neo4J-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Neo4J Apache Spark: Work with Neo4J in Apache Spark Using SQL AppSheet: Create Neo4J-Connected Business Apps in AppSheet C++Builder: DataBind Controls to Neo4J Data in C++Builder ColdFusion: Query Neo4J in ColdFusion Using JDBC ColdFusion: Query Neo4J in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Neo4J Delphi: DataBind Controls to Neo4J Data in Delphi DevExpress: DataBind Neo4J to the DevExpress Data Grid EF - Code First: Access Neo4J with Entity Framework 6 EF - LINQ: LINQ to Neo4J EF - MVC: Build MVC Applications with Connectivity to Neo4J Filemaker Pro: Bidirectional Access to Neo4J from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Neo4J from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Neo4J on Linux Google Apps Script: Connect to Neo4J Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Neo4J Entities in Java IntelliJ: Connect to Neo4J in IntelliJ JBoss: Connect to Neo4J from a Connection Pool in JBoss JDBI: Create a Data Access Object for Neo4J using JDBI JRuby: Connect to Neo4J in JRuby Microsoft Power Apps: Integrate Live Neo4J Data into Custom Business Apps Built in Power Apps NodeJS: Query Neo4J Data in Node.js (via Connect Server) NodeJS: Query Neo4J through ODBC in Node.js PHP: Access Neo4J in PHP through the Cloud Hub PHP: Natively Connect to Neo4J in PHP PowerBuilder: Connect to Neo4J from PowerBuilder PowerShell: Pipe Neo4J to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Neo4J in PyCharm Python: Connect to Neo4J in Python on Linux/UNIX React: Build Dynamic React Apps with Neo4J Data Ruby: Connect to Neo4J in Ruby RunMyProcess: Connect to Neo4J Data in RunMyProcess RunMyProcess DSEC: Connect to Neo4J in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Neo4J in SAPUI5 MVC Apps Servoy: Build Neo4J-Connected Apps in Servoy Spring Boot: Access Live Neo4J Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Neo4J in Python Tomcat: Configure the CData JDBC Driver for Neo4J in a Connection Pool in Tomcat Unqork: Create Neo4J-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Neo4J WebLogic: Connect to Neo4J from a Connection Pool in WebLogic


When Only the Best Neo4J Drivers Will Do

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



Frequently Asked Neo4J Driver Questions

Learn more about Neo4J drivers & connectors for data and analytics integration


The Neo4J driver acts like a bridge that facilitates communication between various applications and Neo4J, allowing the application to read data as if it were a relational database. The Neo4J driver abstracts the complexities of Neo4J APIs, authentication methods, and data types, making it simple for any application to connect to Neo4J data in real-time via standard SQL queries.

Working with a Neo4J Driver is different than connecting with Neo4J through other means. Neo4J 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 Neo4J integration code moving forward.

By comparison, our Neo4J Drivers offer codeless access to live Neo4J data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Neo4J 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 Neo4J data. We manage all of the complexities of Neo4J 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 Neo4J, 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 Neo4J driver offers full-featured Neo4J data connectivity. The CData Neo4J drivers support extensive Neo4J integration, providing access to all of the Neo4J 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 Neo4J 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 Neo4J driver contains a full SQL-92 compliant engine that translates standard SQL queries into Neo4J API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Neo4J as possible. Any logic that can not be pushed to Neo4J is handled transparently client-side by the driver/connector engine. Ultimately, this means that Neo4J looks and acts exactly like a database to any client application or tool. Users can integrate live Neo4J connectivity with ANY software solution that can talk to a standard database.

The Neo4J drivers and connectors offer comprehensive access to Neo4J data. Our Neo4J driver exposes static and dynamic data and metadata, providing universal access to Neo4J data for any enterprise analytics or data mangement use. To explore the Neo4J driver data model, please review the edition-specific Neo4J driver documentation.

Using the CData Neo4J drivers and connectors, Neo4J 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 Neo4J data connectivity. Explore some of the more popular Neo4J data integrations online.

Neo4J 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 Neo4J 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.

Neo4J 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 Neo4J data any database or data warehouse, and maintain parity between systems with automated incremental Neo4J replication. In addition, our Neo4J 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 Neo4J integration. These Add-Ins provide live access to Neo4J data directly from Microsoft Excel.