Apache Camel Reviews

Cadence Workflow Reviews

Apache Camel mentions (12)

• Ask HN: What is the correct way to deal with pipelines?

  "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 / 9 months ago

• Why messaging is much better than REST for inter-microservice communications

  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 1 year ago

• Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?

  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 1 year ago

• S3 to S3 transform

  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 1 year ago

• 🗞️ We have just released our JBang! catalog 🛍️

  🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago

Cadence Workflow mentions (7)

• [P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.

  Emit events from your primary DB (postgres, etc.) to something like kafka or rabbitmq and then catch that in your search engine. There's also some end-to-end solutions like temporal (temporal.io) or cadence (https://cadenceworkflow.io/). Source: over 1 year ago

• How can you ensure all Microservices have finished their tasks?

  You should definitely check Uber Cadence https://cadenceworkflow.io/. Source: almost 2 years ago

• Apache Hop 2.0

  Cadence: https://cadenceworkflow.io. - Source: Hacker News / about 2 years ago

• Which schedule technology you would choose for a new project?

  Dear community, I will be please to get your feedback to choose a schedule engine in 2022 in microservice context. On this field they are at least 2 challengers to me, ¹ nomad from hashicorp and ² cadence from uber. While kubernetes lead this field. Source: over 2 years ago

• Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL

  There's cadence which is made by Uber: https://cadenceworkflow.io/. Source: over 2 years ago