Datangle is the simplest way for data teams to [๐] automate manual operations, [๐ค] promote pipelines across multiple environments and [๐ ๏ธ] build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.
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Seems like someone got a bit inspired by tools like Airflow and Jenkins, huh? Not seeing how it's much different, guess its beta stage tho, but without needing scripting sounds good, let's see if it lives up to that claim, retail folks are always looking for no-code solutions, could be useful or could be just another gimmick, time will tell
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I get what you're trying to do here, making data pipelines easier to handle sounds great, but aren't you worried about over-simplifying things, like maybe it could lead to overlooking important details, also it's kinda unclear how this tool handles more advanced operations, can it adapt to more complex workflows or is it limited to simpler tasks only? ๐
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So i stumbled upon this tool in an ad, not sure how i feel about it, seems like it's more for beginners, what do we do when we need more advanced custom workflows? maybe also think about adding some more detailed documentation to help those who aren't so novice anymore, interesting idea though
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I like the idea of making workflows easier for junior devs but how does it stand out from things like Apache Airflow or Prefect, feels like those already cover a lot and with them being open source, thinking you might need to find a unique angle, maybe more integrations or a feature that simplifies deployment across platforms would help?
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Looks like another no-code tool trying to simplify complex tasks for data teams but is it really better than established options like Alteryx or Luigi maybe some more advanced features or integrations could make it stand out, any plans for that?
No-code for data pipeline is really cool! Congrats on the beta launch!
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Seems like exactly what data teams need to make their lives easier. Iโm in operations and donโt code much, so wondering if thatโs a potential issue for me.
IGdm