CData Arc is a leading B2B application and data connectivity solution for secure managed file transfer (MFT), EDI processing, and back-office integration. It seamlessly connects enterprise applications like CRMs, ERPs, RDBMS, and more to automate complex processes and synchronization across the enterprise, both on-premises and in the cloud.
The application supports file transfer through a wide array of B2B messaging protocols including AS2, AS4, OFTP, SFTP, and more. In addition, Arc features interactive EDI mapping and translation with support for all major EDI standards and protocols such as X12 and EDIFACT.
A codeless visual interface features a modern drag-and-drop approach to workflow management where users can configure connectors in a workspace to build complex workflows. Drag-and-drop also extends to data transformation allowing users to easily map data between formats like JSON, XML, and CSV.
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Website | arc.cdata.com |
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Website | camel.apache.org |
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Based on our record, Apache Camel seems to be more popular. It has been mentiond 12 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.
"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 / 6 months 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 / about 1 year 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: about 1 year 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: about 1 year ago
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
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