Neo4J Drivers & Connectors for Data Integration

The Neo4J driver acts like a bridge that facilitates communication between various applications and Neo4J, allowing the application to read, write, and update 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.

If you need truly zero-maintenance integration, check out connectivity to Neo4J via CData Connect AI. With Connect AI you can configure all of your data connectivity in one place and connect to Neo4J from any of the available Cloud Drivers and Client Applications. Connectivity to Neo4J is managed in the cloud, and you never have to worry about installing new drivers when Neo4J 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 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.

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.

Additionally, since Neo4J supported by CData Connect AI, we enable all kinds of new Neo4J cloud integrations.

Neo4J Analytics and Neo4J 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 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. The best way to integrate Neo4J with Excel is by using the CData Connect AI Excel Add-In. The Neo4J Excel Add-In provides easy Neo4J integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Our integration offers live bi-directional access to Neo4J data directly from Excel. Simply configure your connection to Neo4J from the easy-to-use cloud interface, and access Neo4J just like you would another native Excel data source.