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Based on our record, Supabase seems to be a lot more popular than Parse.ly Analytics. While we know about 436 links to Supabase, we've tracked only 3 mentions of Parse.ly Analytics. 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 / 13 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 / 13 days ago
Step 1: Sign up at supabase.com and create a new project. - Source: dev.to / 15 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 / 22 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 / 25 days ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
GoSquared People Analytics - One place to understand your users
Next.js - A small framework for server-rendered universal JavaScript apps
Make My Persona - A free buyer persona generator
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
Zoios - Understand and keep your employees with people analytics
