Based on our record, Supabase seems to be a lot more popular than Hadoop. While we know about 431 links to Supabase, we've tracked only 15 mentions of Hadoop. 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.
Supabase is a backend as a service visual platform that allows you to create postgres DB with minimum code. Their documentation is so good that it feels like home and you can get your project online in no matter of time. - Source: dev.to / 10 days ago
It was a great experience using Supabase’s rock-solid PostgreSQL database for this app. The DX around that product is phenomenal: viewing and managing the DB data was a lifesaver when you don’t want to craft your own admin panel from scratch. - Source: dev.to / 14 days ago
I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 22 days ago
Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names. - Source: dev.to / 28 days ago
Setting up Supabase Create a new Supabase project, and get The connection string for the database from settings > Database. - Source: dev.to / 28 days ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing. - Source: dev.to / over 1 year ago
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Next.js - A small framework for server-rendered universal JavaScript apps
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.