What is Hibernate and what are its top alternatives?
Top Alternatives to Hibernate
- MyBatis
It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records. ...
- Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...
- Entity Framework
It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write. ...
- SQLAlchemy
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. ...
- Prisma
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
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. ...
- Dapper
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. ...
- ent
It is a simple, yet powerful entity framework for Go, that makes it easy to build and maintain applications with large data-models. ...
Hibernate alternatives & related posts
- Easy to use6
- Extensions3
- Integrated with Spring3
- Flexible3
- Data-first support2
related MyBatis posts
Spring
- Java228
- Open source157
- Great community135
- Very powerful123
- Enterprise114
- Lot of great subprojects64
- Easy setup59
- Convention , configuration, done44
- Standard40
- Love the logic30
- Good documentation12
- Dependency injection11
- Stability10
- MVC8
- Easy6
- Makes the hard stuff fun & the easy stuff automatic3
- Strong typing3
- Code maintenance2
- Best practices2
- Maven2
- Great Desgin2
- Easy Integration with Spring Security2
- Integrations with most other Java frameworks2
- Java has more support and more libraries1
- Supports vast databases1
- Large ecosystem with seamless integration1
- OracleDb integration1
- Live project1
- Draws you into its own ecosystem and bloat15
- Verbose configuration3
- Poor documentation3
- Java3
- Java is more verbose language in compare to python2
related Spring posts
Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.
Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.
I am consulting for a company that wants to move its current CubeCart e-commerce site to another PHP based platform like PrestaShop or Magento. I was interested in alternatives that utilize Node.js as the primary platform. I currently don't know PHP, but I have done full stack dev with Java, Spring, Thymeleaf, etc.. I am just unsure that learning a set of technologies not commonly used makes sense. For example, in PrestaShop, I would need to work with JavaScript better and learn PHP, Twig, and Bootstrap. It seems more cumbersome than a Node JS system, where the language syntax stays the same for the full stack. I am looking for thoughts and advice on the relevance of PHP skillset into the future AND whether the Node based e-commerce open source options can compete with Magento or Prestashop.
Entity Framework
- LINQ5
- Object Oriented3
- Strongly Object-Oriented3
- Multiple approach (Model/Database/Code) first2
- Code first approach2
- Model first approach1
- Auto generated code1
- Strongly typed entities1
- Database first0
related Entity Framework posts
- Open Source7
- Documentation2
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.
Current Stack:
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
- Free13
- Promise Based11
- Recommend for mongoose users4
- Atrocious documentation, buggy, issues closed by bots3
- Typescript3
- 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