Apache Camel is recommended for enterprises dealing with diverse systems needing efficient integration, particularly in complex or large-scale environments. It's especially beneficial for organizations that rely heavily on message brokering, microservices, or those that require orchestrating multiple software services efficiently. It's also suited for developers and teams familiar with EIPs and looking for a robust solution to handle complex data and workflow transformations.
Apache ActiveMQ is recommended for enterprises looking for a reliable and scalable message broker, developers needing rich messaging functionality, and organizations that require robust support for various messaging protocols, including JMS, AMQP, STOMP, and MQTT. It is particularly well-suited for applications that need to distribute messages between different applications, languages, and platforms.
Based on our record, Apache Camel should be more popular than Apache ActiveMQ. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Seamless integration of AML and KYC solutions with existing systems is critical for effective automation. Use middleware platforms like MuleSoft (commercial) or Apache Camel (open source) to facilitate data exchange or deeper integrations between many disparate systems. Integration testing to ensure faithful and ongoing interoperability between both proprietary and 3rd-party systems should be rigorous and will... - Source: dev.to / 11 months ago
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / over 1 year ago
This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / over 2 years ago
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 2 years ago
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 2 years ago
Before Kafka, traditional message queues like RabbitMQ and ActiveMQ were widely used, but they had limitations in handling massive, high-throughput real-time data streams. - Source: dev.to / 4 months ago
Consume open-source queuing services – customers can deploy message brokers such as ActiveMQ or RabbitMQ, to develop asynchronous applications, and when moving to the public cloud, use the cloud providers managed services alternatives. - Source: dev.to / 4 months ago
Apache ActiveMQ is an open-source Java-based message queue that can be accessed by clients written in Javascript, C, C++, Python and .NET. There are two versions of ActiveMQ, the existing “classic” version and the next generation “Artemis” version, which is currently being worked on. - Source: dev.to / about 2 years ago
For real-time streaming, we have other frameworks and tools like Apache Kafka, ActiveMQ, and AWS Kinesis. - Source: dev.to / over 2 years ago
The back-end is designed as a set of microservices communicating through a message broker, ActiveMQ, with a custom configuration to support delayed delivery and other features. - Source: dev.to / almost 3 years ago
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RabbitMQ - RabbitMQ is an open source message broker software.
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IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.
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Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.