Datangle is the simplest way for data teams to [š] automate manual operations, [š¤] promote pipelines across multiple environments and [š ļø] build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.
Hey PH gang! šš¾
I'm Chinedu, leading a small team of builders and we are excited to be launching Datangle!
ā”ļø 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.
āļø 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 ā 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.
š 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.
š ļø 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
ā Getting started
We're currently in a closed beta testing with unlimited access to the entire product and you can get started here ā https://datangle.io
šš¾ 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.
This is super cool!!! Sounds like it can definitely make life easier, especially for more junior devs in the team to understand the pipeline etc šš»
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
Datangle
Teorico Vocab
Datangle