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Neo4j Sink Connector for Confluent Available as Managed Connector on Confluent Cloud

Neo4j Blogby karen jonesDecember 11, 20251 min read0 views
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The managed connector supports private endpoints for Azure, AWS, and Google Cloud Platform clouds.

Over the past few years, we’ve been partnering with teams at Confluent to enable the Neo4j Connector for Confluent to run in their Confluent Cloud. In 2023, I announced in this blog that our connector was fully supported by Neo4j for use as a sink and source connector in Confluent Cloud as a Custom Connector. The partnership has advanced to the next level with the announcement of Confluent’s Managed Neo4j Sink Connector — our connector, now running as a fully managed service on Kafka Connect.

Since 2023, customers have been able to download the connector from the Confluent Hub — now known as their Marketplace — upload it, and create a connection to sink data from Kafka Topics to Neo4j Aura databases or use our database as a source of messages for Topics.

Neo4j Connector in the Confluent Marketplace

This very same connector is now available as a Managed Sink Connector from Confluent:

  • Customers are no longer required to upload and create the connector or manage version upgrades.

  • More importantly for the enterprise, who need to send data securely between cloud services, the managed connector supports private endpoints for Azure, AWS, and Google Cloud Platform clouds.

  • Customers raise support issues directly with Confluent, and Neo4j will assist when required.

Read their announcement and check out their documentation.

Options available for Neo4j Connector

Summary

You can find the Managed Connector on Marketplace, and download for use with the Confluent Platform, or create a source connector in Confluent Cloud to detect changes via CDC or Cypher queries and send data to Kafka Topics. Neo4j provides support and documentation for using the connector as a source.

Neo4j Sink Connector for Confluent Available as Managed Connector on Confluent Cloud was originally published in Neo4j Developer Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

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