ArangoDB Reviews

Hugging Face Reviews

ArangoDB mentions (6)

• MongoDB takes a swing at PostgreSQL after claiming wins against rival

  If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also https://couchdb.apache.org/ and https://developer.marklogic.com/. - Source: Hacker News / 9 months ago

• Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More

  ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / 11 months ago

• Demonstrating ArangoDB VelocyPack: A High-Performance Binary Data Format

  In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / 12 months ago

• How to choose the right type of database

  ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / about 1 year ago

• Spidergram is a collection of tools my company Autogram has built or enabled over the past several years to support our work to automate content inventories for large websites: it's part web crawler, part domain model, and part mad science. We released the first public beta today.

  ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 2 years ago

Hugging Face mentions (296)

• Streamlining ML Workflows: Integrating KitOps and Amazon SageMaker

  Compatibility with standard tools: Functions with OCI-compliant registries such as Docker Hub and integrates with widely-used tools including Hugging Face, ZenML, and Git. - Source: dev.to / 4 days ago

• Building a Full-Stack AI Chatbot with FastAPI (Backend) and React (Frontend)

  Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / 27 days ago

• Blog Draft Monetization Strategies For Ai Technologies 20250416 222218

  Hugging Face provides licensing for their NLP models, encouraging businesses to deploy AI-powered solutions seamlessly. Learn more here. Actionable Advice: Evaluate your algorithms and determine if they can be productized for licensing. Ensure contracts are clear about usage rights and application fields. - Source: dev.to / about 1 month ago

• How to Create Vector Embeddings in Node.js

  There are lots of open-source models available on HuggingFace that can be used to create vector embeddings. Transformers.js is a module that lets you use machine learning models in JavaScript, both in the browser and Node.js. It uses the ONNX runtime to achieve this; it works with models that have published ONNX weights, of which there are plenty. Some of those models we can use to create vector embeddings. - Source: dev.to / about 2 months ago

• Building with Gemma 3: A Developer's Guide to Google's AI Innovation

  From transformers import pipeline Import torch Pipe = pipeline( "image-text-to-text", model="google/gemma-3-4b-it", device="cpu", torch_dtype=torch.bfloat16 ) Messages = [ { "role": "system", "content": [{"type": "text", "text": "You are a helpful assistant."}] }, { "role": "user", "content": [ {"type":... - Source: dev.to / about 2 months ago