Based on our record, Vercel should be more popular than Apache Airflow. It has been mentiond 599 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.
Upload your folder to Netlify, GitHub Pages, or Vercel — and boom, your portfolio is online! - Source: dev.to / 3 days ago
For deployment, you can host your server on platforms like Heroku and Vercel. Both platforms offer free tiers, making it easy to deploy your REST API. - Source: dev.to / 10 days ago
ArNext is a NextJS-based framework that lets you deploy the same codebase both on Vercel and Arweave. - Source: dev.to / 9 days ago
Platforms like Railway, Render, Fly.io, Vercel, Supabase, and Cloudflare are leading the charge with a shared philosophy:. - Source: dev.to / 9 days ago
After refining the user interface and doing some tests, I had a minimal functional AI agent capable of answering questions about Figma features . Since I was using Next.js, I decided to host my app on Vercel, since it was the platform that provided me the easiest and most intuitive way to do it. I was very happy with the result, even though the application was simple, in just a few days I managed to learn about... - Source: dev.to / 12 days ago
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 2 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
Next.js - A small framework for server-rendered universal JavaScript apps
Make.com - Tool for workflow automation (Former Integromat)
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
GitHub Pages - A free, static web host for open-source projects on GitHub
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.