AppWrite
Supabase
Firebase
PocketBase.io
Next.js
Manifest.build
Parse
Tailwind CSS
Apache Spark
Apache Flink
Hadoop
Apache Storm
Apache Kafka
Apache Hive
Apache Airflow
Presto DB
AppWrite Apache SparkAppWrite is recommended for developers building applications who require a scalable backend solution without the overhead of managing infrastructure. It is particularly suited for developers who prefer open-source platforms and those who want to avoid vendor lock-in. AppWrite's features make it a good fit for startups, hobby projects, and even educational purposes where full control over the backend is desirable.
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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.
Based on our record, AppWrite should be more popular than Apache Spark. It has been mentiond 174 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.
Appwrite is a backend-as-a-service platform that provides authentication, storage, and database. Appwrite is used for authentication and storage. - Source: dev.to / about 2 months ago
Flutter plays well with modern backend solutions like Firebase, Supabase, AWS Amplify, Appwrite, and PocketBase. This gives you a variety of options to choose from whether you are an indie developer, startup, established company, agency, or enterprise. - Source: dev.to / 9 months ago
Appwrite also allows you to manage your application's backend services through a simple and intuitive dashboard, making it easy to monitor and control your resources. - Source: dev.to / 11 months ago
. Netlify : Deploy your web projects with ease. . Render : Host web applications and static sites effortlessly. . GitHub Pages: Host your static websites directly from your GitHub repository. . Firebase Hosting: Scale your web apps effortlessly with Firebase. . Vercel: Deploy websites and applications with automatic deployments. . Cyclic.sh: Host your static sites with zero configuration. . Appwrite:... - Source: dev.to / 11 months ago
Appwrite is a comprehensive Backend as a Service (BaaS) platform designed to help developers build and scale applications quickly and efficiently. Whether you're a solo indie hacker or part of a growing startup, Appwrite provides the essential features you need—database management, authentication, storage, and cloud functions—all in one unified platform. - Source: dev.to / 12 months ago
Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 2 months ago
Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / about 2 months ago
One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 3 months ago
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 3 months ago
If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 4 months ago
Supabase - An open source Firebase alternative
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Hadoop - Open-source software for reliable, scalable, distributed computing
PocketBase.io - Open Source backend with realtime database, authentication, file storage and admin dashboard, all compiled in 1 portable executable.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.