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Based on our record, dataloader.io should be more popular than Apache Camel. It has been mentiond 27 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.
Love https://dataloader.io/ Free for up to 10k records a month! Source: 10 months ago
I still can't believe what horse shit Data Loader is. They even own a much better product with dataloader.io but won't make it free even though data movement is integral to a useful database. Source: about 1 year ago
Check to make sure you're actually on the once a month limit. Our org we can do weekly data exports. You can also export your objects by reports, dataloader.io (with limits), and some other tools. Depending on the data's final destination, it may be worth keeping some Salesforce licenses and seeing if you can transfer/sync data via APIs or middleware tools rather than do it manually. Talk to the vendor of whatever... Source: over 1 year ago
Does either dataloader.io or data import wizard allow for custom logic? I'm matching the contact by full name and crd#. The logic I want to introduce is where contact's field: "platform" = envestnet. Or should I be thinking about creating a flow that will handle the logic to match the contacts from my spreadsheet? Source: over 1 year ago
I think dataloader.io and def dataimporter.io offer name match. Up to 10k (or 20k for the latter) records/mo free. Source: almost 2 years 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 / 8 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: over 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: over 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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