gogm VS ent

Has anybody used golang and neo4j together with a data model bigger than a few small nodes and relationships? I have 45 node types that can have varying numbers of up to 48 relationship types all modeled as structs that I want to be able to store and manipulate with neo4j. The main golang neo4j driver requires translation of data directly into cypher query, which with this many nodes / relationships would require me to create a massive translation wrapper. I looked at gogm (https://github.com/mindstand/gogm) but it doesn't seem mature enough for my use (please let me know if you have any reviews of it). To avoid having to write a large wrapper I figured I could probably store the data in mongodb or elastic and then use their neo4j connector plugins to auto-propagate data to neo4j - this would be a fine solution but I'd rather avoid adding a secondary database technology if I can.

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql