Kafka to JMS connector
Accelerate your Kafka to JMS streaming with a Kafka compatible connector via Lenses UI/ CLI, Native plugin or Helm charts for Kubernetes deployments
About the Kafka to JMS connector
License Apache 2.0
The JMS Source connector allows you to subscribe to messages on JMS queues and topics and write them to a Kafka topic. This is an open-source project and so isn't available with Lenses support SLAs.
Connector options for Kafka to JMS streaming
Docker to test the connector
Test in our pre-configured Lenses & Kafka sandbox packed with connectors
Use Lenses with your Kafka
Manage the connector in Lenses against your Kafka and data.
Or Kafka to JMS GitHub Connector
Download the connector the usual way from GitHub
Connector benefits
- Flexible Deployment
- Powerful Integration Syntax
- Monitoring & Alerting
- Integrate with your GitOps
Why use Lenses.io to read data from Kafka to JMS?
This connector saves you from learning terminal commands and endless back-and-forths connecting Kafka to JMS by managing the JMS stream reactor connector (and all your other connectors on your Kafka Connect Cluster) through Lenses.io. This lets you freely monitor, process and deploy data with the following features:
- Error handling
- Fine-grained permissions
- Data observability
How to set up your Kafka to JMS data pipeline
- Make sure you have the following: Apache Kafka 0.11.x or above,Kafka Connect 0.11.x or above, a JMS framework (ActiveMQ for example) and Java 1.8
- Install and configure a Kafka Connect cluster
- Create a folder on each server called
plugins/lib.Copy into the above folder the required connector jars from the stream reactor download. - Edit
connect-avro-distributed.propertiesin theetc/schema-registryfolder and uncomment the plugin.path option. - Set it to the root directory i.e. plugins you deployed the stream reactor connector jars in step 3.
- Start Connect,
bin/connect-distributed etc/schema-registry/connect-avro-distributed.properties