Datangle is the simplest way for data teams to [🔗] automate manual operations, [📤] promote pipelines across multiple environments and [🛠️] build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.
Hey PH gang! 👋🏾
I'm Chinedu, leading a small team of builders and we are excited to be launching Datangle!
⚡️ What is Datangle?
Datangle is a no-code continuous integration and deployment platform built specifically for data teams. It is the simplest way for teams to automate manual operations, promote pipelines across multiple environments and build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.
♟️ Why we built it
We've spent our time with data teams (and engineers) across multiple orgs and lived two fundamental realities:
1: They're swamped with operations, leaving no time for strategic work. Now, AI intensifies this – fast, reliable data is crucial, yet manual processes hold them back.
2: They're using the wrong tooling. We've all tried shoehorning software engineering tools in, only to meet the limitations of these tools for our specific use cases.
We built Datangle, to empower Data Engineers with a no-code workflow builder and intelligent automation for their data operations. It's DataOps designed for their world, unlocking their potential to fuel the AI revolution.
🏆 Features:
--> Visual Canvas: build complex workflows with simple clicks in a visual canvas
--> Stack integration: seamlessly connects to your existing data stack
--> Version control: track changes and revert to previous versions of your workflows, environments and pipelines
--> Automated triggers: automate tasks based on internal or external schedules, data updates, or custom events.
🛠️ Use cases
--> Environment provisioning and deployment
--> Data quality checks
--> Jobs/Pipeline code promotion
--> Data backup and disaster recovery
--> Cross-environment data sync
--> Model training, validation, and deployment
✅ Getting started
We're currently in a closed beta testing with unlimited access to the entire product and you can get started here – https://datangle.io
🙏🏾 Feedback
We are a very small team re-imagining and simplifying how data teams can make the most of their time. We'd love nothing but you for you to share any suggestions, recommendations and improvements. Your feedback will be crucial as we improve the product.
Thank you for your support!
Chinedu
Product, Datangle.
Kudos to the Datangle team! A no-code CI/CD workflow builder is exactly what the data industry needs. The visual canvas and intelligent automation are fantastic. How do you handle security and data privacy within the platform, especially for sensitive data operations?
@edunge Upvoted!
The version control for workflows is an excellent feature! How granular is the tracking—can you revert individual steps within a workflow or just the entire workflow? Excited to see how this evolves, especially with the AI integration!
This tool not only saves time but also reduces errors by promoting pipelines seamlessly across environments. A must-have for any data team looking to streamline their operations efficiently.
great job on a beautiful home page, you know exactly what you're getting with your service.
I would run a few tests with the first line. it is straightforward but it lacks benefits.
what does "simplified" mean? Think in terms of time and money. Maybe my current process is already simple
Seems like exactly what data teams need to make their lives easier. I’m in operations and don’t code much, so wondering if that’s a potential issue for me.
Not convinced on going no-code for serious CI/CD workflows, some teams might miss the control and flexibility from traditional methods, founder should maybe think about integrating both options?
Looks cool and all but honestly it looks pretty similar to what Airflow or Dagster offer dont see how it's making things wildly easier also what about support for more advanced features or integrations doesn't seem clear how it stacks up against other tools maybe add more details on that
It's cool that you’ve made a no-code tool for CI/CD workflows, but honestly, isn’t simplifying things to the point where you don’t even need yaml or scripts taking away some control from data teams themselves, feels like it might be more trouble down the line when things get really complex, curious to see if it's really as effective as it sounds 🚀
I stumbled upon this through an ad, and while the idea of a no-code workflow builder sounds appealing, I’m skeptical, how effective can it really be in complex data environments, tools that cater to beginners often compromise on flexibility, let's see how sustainable this goes
Interesting concept but without yaml and scripting, how customizable can this really be, seems like it might trade flexibility for simplicity, wonder how that'll impact bigger projects
This no-code stuff sounds like it could really limit skilled devs and make things too simple for complex tasks, might work for some but could also end up causing more problems than it solves 🤔
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?
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
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
I get it's supposed to be no-code and all, but are we really at the point where junior devs can't even understand yaml files, marketing something as super easy seems kinda lazy, kinda makes you wonder if it's dumbing things down too much 🤔
Datangle