AppWrite VS Ollama
Compare AppWrite VS Ollama and see what are their differences
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AppWrite
Supabase
Firebase
Clerk
PocketBase.io
Convex.dev
PropelAuth
Xano
Ollama
LM Studio
LangChain
Hugging Face
Jan.ai
GPT4All
Claude AI
OpenAI
AppWrite OllamaAppWrite 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.
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
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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, Ollama should be more popular than AppWrite. It has been mentiond 282 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.
Initially, I was using the Supabase free tier, but I was hitting the limits, and my app was becoming stale. Then I switched to Appwrite. Both are totally different; one is SQL, while the latter one is NoSQL. Although use node-appwrite package to skip the manual schema add-ons. - Source: dev.to / 6 months ago
Appwrite is an open-source platform that simplifies backend setup by providing authentication, databases, storage, functions, and hosting all in one place. - Source: dev.to / 8 months ago
I love Appwrite. My first hackathon was actually from Appwrite (using Appwrite) 2 years ago, and I've been using it ever since. - Source: dev.to / 12 months ago
Appwrite | Remote | Platform Engineers, AI, Interns | https://www.appwrite.careers Appwrite (https://appwrite.io) is an open-source backend platform that helps developers build secure web and mobile apps faster. Weโre hiring engineers across multiple teams to improve infrastructure, expand developer tooling, and scale our platform. Open roles: โ Platform Engineer. - Source: Hacker News / about 1 year ago
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 1 year ago
Agentic coding runs through Aider, configured to talk to local Ollama models by default and fall back to the free tiers on Groq and OpenRouter when a task wants more horsepower. Same agent, same workflow, whether it's fully offline or tapping a free hosted model. - Source: dev.to / about 21 hours ago
To see available tags for any model, check the model page on ollama.com or run ollama show llama3 --modelfile to inspect what you currently have. - Source: dev.to / 7 days ago
Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / 14 days ago
It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / 15 days ago
Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / 19 days ago
Supabase - An open source Firebase alternative
LM Studio - Discover, download, and run local LLMs
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
LangChain - Framework for building applications with LLMs through composability
Clerk - Clerk.io, the artificial intelligence for e-commerce that knows your customers interests.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.