What is Entity Framework and what are its top alternatives?
Top Alternatives to Entity Framework
It is a mature, open source object-relational mapper for the .NET framework. It's actively developed, fully featured and used in thousands of successful projects. ...
- Entity Framework Core
It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write. ...
Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper. ...
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. ...
Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js. ...
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more. ...
It is an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database. ...
It is a simple, yet powerful entity framework for Go, that makes it easy to build and maintain applications with large data-models. ...
Entity Framework alternatives & related posts
- DDD friendly5
related NHibernate posts
- Fits very well with Microsoft technologies7
- Multiple Database provider1
- Easy to use1
related Entity Framework Core posts
- Easy ORM21
- Easy transaction definition7
- Is integrated with spring jpa2
- Can't control proxy associations when entity graph used3
related Hibernate posts
- Open Source7
related SQLAlchemy posts
Hello everybody! I want to create an easy to use website (and simplified) builder. Users create a site, add their domain and edit Pages inside an Admin Area inside predefined "Blocks" like with Wagtail.
There should be several default templates/themes and layouts. Choosing a different theme might change both the layout and styling. And I'm looking for SSR or SSG with a focus on the end-user's Page performance.
GraphQL for the dynamic part (for example data to Pricing might not be required on the homepage, or images might go into gallery in one theme, and on the homepage in another theme)
FastAPI and SQLAlchemy to store Data. I have prior experience with Wagtail and Django and want to stay with Python and learn Fastapi
NGINX to handle domain-specific things (the how is not yet refined)
I want a scalable architecture and especially a fast frontend. I'm tending to use SvelteKit, but I'm afraid that the dynamic part won't make me happy after having hundreds of sites, as the bundler cannot load themes dynamically. sveltekit - dynamic import
I want to handle the scenario: Admin-User chooses a theme and other options for the site (domain) and the End-User Frontend/Session/Cookie will have to fetch and store data about the theme and load subsequent calls to prerendered sites.
Also the "hundreds of sites" might not be all covered by 5 Themes, because users may purchase a custom-made theme, and I would have to manage one big project having lots of different Styleguides and flows. I even thought of statically building the site whenever the user makes a change, maybe using Hugo (or VitePress?). Then I would have to take more care with the page recreation and it would be easily routable instead of nesting every component with logic in the frontend... I think. But this I haven't thought through yet.
Can anyone please help?
Merging Django ORM with SQLAlchemy for Easier Data Analysis (Video Inside)
Development of products with Django framework is usually easy and straightforward; great documentation, many tools out of the box, plenty of open source libraries and big community. Django ORM takes full control about SQL layer protecting you from mistakes, and underlying details of queries so you can spend more time on designing and building your application structure in Python code. However, sometimes such behavior may hurt - for example, when you’re building a project related to data analysis. Building advanced queries with Django is not very easy; it’s hard to read (in Python) and hard to understand what’s going on in SQL-level without logging or printing generated SQL queries somewhere. Moreover, such queries could not be efficient enough, so this will hit you back when you load more data into DB to play with. In one moment, you can find yourself doing too much raw SQL through Django cursor, and this is the moment when you should do a break and take a look on another interesting tool, which is placed right between ORM layer and the layer of raw SQL queries.
- Type-safe database access12
- Open Source10
- Auto-generated query builder8
- Supports multible database systems6
- Increases confidence during development6
- Built specifically for Postgres and TypeScript4
- Productive application development4
- Supports multible RDBMSs2
- Robust migrations system2
- Doesn't support downward/back migrations2
- Doesn't support JSONB1
- Do not support JSONB1
- Mutation of JSON is really confusing1
- Do not support JSONB1
related Prisma posts
I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.
In my last side project, I built a web posting application that has similar features as Facebook and hosted on Heroku. The user can register an account, create posts, upload images and share with others. I took an advantage of graphql-subscriptions to handle realtime notifications in the comments section. Currently, I'm at the last stage of styling and building layouts.
For the #Backend I used graphql-yoga, Prisma, GraphQL with PostgreSQL database. For the #FrontEnd: React, styled-components with Apollo. The app is hosted on Heroku.
- Good ORM for node.js42
- Easy setup31
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite20
- Open source14
- Promise Based11
- Recommend for mongoose users4
- Atrocious documentation, buggy, issues closed by bots3
- Docs are awful30
- Relations can be confusing9
related Sequelize posts
Hey! I am actually in internship and have an app to create for my structure. It will be an intern app which will allow crud dashboard actions with some data provided by the use of an API of one of the structure partner and make a correspondence to data contained in a private database. Since it's an intern app, I thought about Electron for a desktop app because I did a lot of web with Laravel and the structure goes more for the desktop app. But it will be my first occasion working with this tech.
Is Electron a good choice? Wich ORM should be more complete and adapted to this between Sequelize and TypeORM? (Database will be MySQL) Some charts will be displayed in the app. Is there a library (preferably without jQuery) that suits this stack?
Thank you !
Can you help me with the following:
- What additional functionality is present in Prisma when compared with Sequelize?
- Is getter and setter method available in Prisma? If then please provide any reference or resource.
- Is Hooks, hierarchy present in Prisma?
- Fastest ORM6