Based on our record, Supabase should be more popular than Apache Airflow. It has been mentiond 436 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.
I see it differently. In the 25 years I've been working in this industry I see a welcome trend toward doing more in the database, such that the impedance mismatch dissipates: https://gist.github.com/cpursley/c8fb81fe8a7e5df038158bdfe0f06dbb https://supabase.com/ One way to eliminate the Java-SQL impedance (for example) mismatch is to delete Java altogether, along with JOOQ,... - Source: Hacker News / 3 days ago
My initial, now long abandoned, plan was to use Next/Nuxt to create the front-end and have the back-end be in Python, to allow me to use the recipe-scrapers library, and to use Supabase to organise the database of users and their collection of recipes, and allow the users to enter a list of ingredients and be presented with a selection of recipes from their own curated collection that contained those recipes,... - Source: dev.to / 2 days ago
Step 1: Sign up at supabase.com and create a new project. - Source: dev.to / 4 days ago
Subpabase - Like Planetscale this is only for databases. It is an open source Firebase alternative for building secure and performant Postgres backends with minimal configuration. - Source: dev.to / 11 days ago
If you are new to postgres or if you are a frontend heavy developer who is currently relying on supabase to have a magic backend appearing out of nowhere, or maybe you are just someone who likes to read stuff and in that case I have something to share with you! - Source: dev.to / 14 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 25 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Next.js - A small framework for server-rendered universal JavaScript apps
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.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
Make.com - Tool for workflow automation (Former Integromat)