ObjectBox is a super fast database and sychronization solution, built uniquely for Mobile and IoT devices. ObjectBox is uniquely designed for small devices, so it is the ideal solution across hardware from Mobile Apps, to IoT Devices and IoT Gateways. It is the first high-performance NoSQL, ACID-compliant on-device edge database. Plus, it's built with developers in mind, with easy to use code that takes minimal time to implement.
ObjectBox supports Java, C/C++, Go, Kotlin, Swift and Python. Running on Android, Mac/iOS, Windows, Linux, Raspbian & more.
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.
Based on our record, Ollama seems to be a lot more popular than ObjectBox. While we know about 172 links to Ollama, we've tracked only 8 mentions of ObjectBox. 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.
We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Now we will use Docker and Ollama to run the EmbeddingGemma model. Create a file named Dockerfile containing:. - Source: dev.to / 9 days ago
For the physical hardware I use the esp32-s3-box[1]. The esphome[2] suite has firmware you can flash to make the device work with HomeAssistant automatically. I have an esphome profile[3] I use, but I'm considering switching to this[4] profile instead. For the actual AI, I basically set up three docker containers: one for speech to text[5], one for text to speech[6], and then ollama[7] for the actual AI. After... - Source: Hacker News / 12 days ago
In short, Ollama is a local LLM runtime; itโs a lightweight environment that lets you download, run, and chat with LLMs locally; Itโs like VSCode for LLMs. Although if you want to run an LLM on a container (like Docker), that is also an option. The goal of Ollama is to handle the heavy lifting of executing models and managing memory, so you can focus on using the model rather than wiring it from scratch. - Source: dev.to / 12 days ago
Go to https://ollama.com/ and download it for your OS. - Source: dev.to / 30 days ago
It would be great to have the vector database run on the edge / on-device for offline-first and privacy-focused. https://objectbox.io/ does a good job of this but are there others? - Source: Hacker News / 26 days ago
When I first attempted to publish to F-Droid, I experienced several pipeline issues. After reading through the pipeline logs in GitLab, I realized that my application's database (ObjectBox) was not entirely FOSS compliant and was causing build failures. The following day was spent migrating my app to Room. - Source: dev.to / about 2 years ago
I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: over 2 years ago
Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 2 years ago
Adding ObjectBox [0] to the list. [0] https://objectbox.io/. - Source: Hacker News / about 3 years ago
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