AppWrite Reviews

1. dndiel

   over 2 years ago
   Appwrite is awesome, free and open-source!

   I've use it instead of Firebase on a 15$ DigitalOcean droplet and saved around ~$150 a month. Managing my own infra does take some extra time, but definitely worth it. The APIs and SDK are also surprisingly much easier to consume than Firebase. Waiting for the cloud version.

   🏁 Competitors: Firebase

   👍 Pros:    Easy to use|Cost effective|Open-source|Great user experience|Super simple|Self hosted

   👎 Cons:    Self hosted

Hadoop Reviews

AppWrite mentions (168)

• Building An E-Commerce Store With NextJS

  Appwrite - for authenticating users, as well as saving and retrieving product details. - Source: dev.to / 13 days ago

• How I use Appwrite Databases with Pinia to build my own habit tracker

  If you haven't tried Appwrite, make sure you give it a spin. It's a open source backend that packs authentication, databases, storage, serverless functions, and all kinds of utilities in a neat API. Appwrite can be self-hosted, or you can use Appwrite Cloud starting with a generous free plan. - Source: dev.to / 2 months ago

• Exploring Appwrite: A Comprehensive Guide

  What is Appwrite? Appwrite is an open-source backend server that abstracts the complexity of backend development, allowing developers to focus on building their applications. It provides a wide range of services including databases, storage, functions, and authentication, all designed to work seamlessly together. This integration simplifies the development process, reducing the need for extensive configuration... - Source: dev.to / 2 months ago

• 11 Planetscale alternatives with free tiers

  Appwrite is an open source BaaS platform that provides services like serverless functions, serverless databases, user authentication, and messaging. Since its release, it has quickly become a popular choice for building websites and applications. - Source: dev.to / 2 months ago

• Biometric authentication with Passkeys

  Appwrite for user management, databases, and serverless functions. - Source: dev.to / 4 months ago

Hadoop mentions (17)

• How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop

  In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / about 12 hours ago

• Navigating the Data Jungle. Data Analysis Software: A Comprehensive Guide

  Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / 12 days ago

• Getting thousands of files of output back from a container

  Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  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: over 1 year ago

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago