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Datangle (Beta)

No-code CI/CD workflow builder for your data

Datangle is the simplest way for data teams to [πŸ”—] automate manual operations, [πŸ“€] promote pipelines across multiple environments and [πŸ› οΈ] build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.

Top comment

Hey PH gang! πŸ‘‹πŸΎ 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. β™ŸοΈ 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. πŸ† 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. πŸ› οΈ 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 βœ… 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 πŸ™πŸΎ 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.

About Datangle (Beta) on Product Hunt

β€œNo-code CI/CD workflow builder for your data”

Datangle (Beta) launched on Product Hunt on August 31st, 2024 and earned 156 upvotes and 34 comments, placing #8 on the daily leaderboard. Datangle is the simplest way for data teams to [πŸ”—] automate manual operations, [πŸ“€] promote pipelines across multiple environments and [πŸ› οΈ] build complex CI/CD workflows in a visual canvas, without the need for yaml and other scripting files.

On the analytics side, Datangle (Beta) competes within Developer Tools, No-Code and Data & Analytics β€” topics that collectively have 522.3k followers on Product Hunt. The dashboard above tracks how Datangle (Beta) performed against the three products that launched closest to it on the same day.

Who hunted Datangle (Beta)?

Datangle (Beta) was hunted by Chinedu Okeke. A β€œhunter” on Product Hunt is the community member who submits a product to the platform β€” uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Datangle (Beta) including community comment highlights and product details, visit the product overview.