This is such a wonderful abd helpful game-making platform,even for the beginners. And i know and I've played in the several games ,for example,which were made so thoroughly and carefully and also simply by using “UNITY” . So the game quality is just a matter of the programmer's skill,i think.
Based on our record, Unity seems to be a lot more popular than ArangoDB. While we know about 204 links to Unity, we've tracked only 6 mentions of ArangoDB. 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.
In this beginner-friendly guide, we’ll break down OOP in Unity in a way that’s simple, practical, and directly tied to game development. You’ll learn how to structure your code with classes, inheritance, encapsulation, and polymorphism—without getting overwhelmed by jargon. - Source: dev.to / 2 months ago
C# was developed by Microsoft in the early 2000s as part of its .NET initiative, led by Anders Hejlsberg. Originally designed as an alternative to Java, C# evolved into a powerful language for Windows applications, backend services, game development (via Unity), and cloud computing. The introduction of .NET Core made C# fully cross-platform, allowing it to run on Windows, Linux, and macOS. - Source: dev.to / 4 months ago
The same happened with video games thanks to projects like Unity or Blender. - Source: dev.to / 9 months ago
One can get exposed to auto-tiling in different implementations. If you're using a game engine like Unity or Godot, there are features automatically built into those packages to enabling auto-tiling as you draw and create your levels. Also, there are software tools like Tiled, LDTK, and Sprite Fusion, that are a little more tilemap specific and give you native tools for auto-tiling. - Source: dev.to / 12 months ago
> Unity is renowned for its versatility and ease of use. With a vast library of assets and plugins, it's perfect for rapid prototyping and iterative design. - Source: dev.to / 12 months ago
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 / 10 months ago
ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / 12 months ago
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 / about 1 year ago
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 / over 1 year ago
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
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Godot Engine - Feature-packed 2D and 3D open source game engine.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.