I think you should first choose either a database or server side programming language then you can streamline your other choices based on that, but I think if you are building a big project then going with django + firebase / mongodb would be a good choice else choose laravel + firebase.

If it was me, then I would go with node.js because it has huge a number of packages,community,support & good dev experience and learning curve is also not that steep, if coupled with express.js, its gonna be efficient and fast in serving web requests, and if we adopt good design patterns and follow best practices, I guess it will be easy to maintain it as well, and for storing resumes, video rec etc.., I would use assest management tools like cloudinary etc.., rather than storing in db, coz Its gonna be much more faster this way.

Nuxt + Fastify + GraphQL + Nginx + Memcache = fast, confortable and a lot of plug-ins. Apache is realy slow :(. Nuxt is great and easy to use. Nginx, Memcache and Fastify it's very efficient. GraphQL require much more from You then REST, but give You flaxibility, order, plugin etc. We tried and don't regret .

PhP might be old fashionned but Laravel is really great. I've tried nodeJs backend with express, python with flask and a little bit of serverless, and quite frankly, laravel was by far the best in my opinion. It has a lot of official packages that speeds up development (from authentification to serverless deployement), it also uses Eloquent ORM that support Mysql databases. Finally it works great with VueJs for the front end development.

I recommend ExpressJS or NestJS as BackEnd and React as Front-End and PostgreSQL as the database. The reason is as follows. First of all, since it is a financial system, various services will exist, and each service must be well connected and combined with each other. The organic combination of small services that work very well is the foundation of a great system. For this, it is best to use Node.js based, and I think ExpressJS or NestJS is the best choice. We recommend choosing React or Vue as the FrontEnd. PostgreSQL is currently the best performing database. These three combinations have many examples, and their superiority has been confirmed by my implementation in many projects already. If you are interested in my advice and have any questions, please feel free to contact me.

On my end for me it's better to choose Laravel. It has very good documentation and easy to code. The framework supports MVC and you can create either monolithic or API only. The community is also big. If you combined a Domain Driven Development (DDD) and Test Driven Development (TDD) on Laravel then it will be a superb.

Since you are using PHP more natural is Python - it can handle high traffic - Python is very effective in coding. Python is superset of Java and C++ - True Object Oriented and have very clear syntax (Spring is hard to learn and debug - you can be confused many times). It is human readable you can code 2-4 times faster with small speed sacrifice. Jinja2 is more faster/flexible Django - whatever Django is better with ORM. Flask is just proposal - many other options of web servers.

Moving from Rails will reduce development velocity (if you want to have easy support and update the app) and will require more skilled (expensive) developers to support it.

Without previous experience (5+ years) do not suggest moving to node.js. That code will easily become hard to learn and support.

You always can implement microservices with Ruby, but this approach should be considered only after Series-A and when you will have more than 5 developers and dedicated SRE/DevOps.

I see it's been some time since this was posted, but I'm glad you are migrating to Next.js 🎉!

Me personally, I would run an Express.js backend so that frontend and backend logics don't feel blurred, especially if you want to attract more developers to your project. Keeping frontend separated from the backend makes for a healthier workspace ecosystem and often confuses people less. Furthermore, implementation is a lot easier and later on as you move from RoR to an Express.js server there won't be too much confusion as to how certain parts mesh together.

Based on the features you're looking at I would consider using websockets (WSS or Socket.IO) for the chat application or rolling that with features from WebRTC, which you would need to support video streaming anyways. For authentication you could look at Auth0 which has some very nice libs for authentication or you could rig up your own stitching individual OAuths (Google, Facebook, etc.) along with a simple User/Pass signup that you manage in your database. For payment I would consider using Stripe, it's very popular in the JS ecosystem right now, has lots of documentation and features, and is also pretty cost-effective.

I know it's been some time since you have posted this and you have already made some decisions, but if you (or anyone else reading this) has any question feel free to let me know :)

Just don't .NET. It was a failed idea from the start. Node and javascript are easier to learn, with much wider adoption, and more active communities.

.NET is an old experiment in using a markup language to separate the UI from the business logic. The idea was that this would allow a small team of hyper-competent engineers to build the tooling and code for a large team of less-skilled front-end developers to leverage. In practice, leveraging that customized UI markup requires understanding and adjusting the underlying code. The result is that any UI change requires a hyper-competent .NET engineer.

However, many larger companies bought into it a long time ago, and now have a hard dependency on old monolithic .NET ecosystems, and they do need .NET developers to maintain them.

So, you can get a well paying .NET job without much difficulty. However, you'll neither like it, nor be doing anything interesting. There's no growth here, only a very long slow death of .NET (that'll probably take another 20 years).

Node and Javascript are sticking around, and still growing.

What I can see, you are confusing yourself, if you studied .Net now it's better to work as .Net developer, and you will find opportunities as fresh. Just search and don't waste your time. After you get more experience in .Net, then you can learn NodeJS if you still need to learn it.

If you are already committed to Python for the data analysis then it would make sense to use Django for the framework and stick with Python throughout. In general the fewer technologies you use (unless there is real justification) will improve process and long term costs.

All things being equal the fact you would not have less (likely no) licensing costs with a Python based solution will overall reduce your long term costs.

If you will be doing data analysis and complex algorithms Django is best suited for this because of it' maturity and the huge communities providing lots of Python libraries for data analysis and more.

The most relevant part is the central architecture more than the specific backend. For me, it makes sense to go for an event-driven solution. In this case, an event is emitted on every new data, and one or more listeners react to it. In AWS, you can easily get this by storing your data in DynamoDB, which is pretty fast, and have as many lambdas working on the received data (here you can find more details). This way, you keep your worker(s) busy fetching data while others consolidate it. I wouldn't get too crazy on the lambdas, and I'd start with one as there will be only one client by your description. My only concern is how similar the APIs you're consuming are. Depending on that, it may be easier to have different lambdas by target API. My only note on the backend language is that if you want low latency, I'd discard Python and Ruby and choose Go (I know that is not in the list, but given that you're open to learning a new language, you could give it a try). It is easy to learn, has excellent performance, and is the only Lamdba runtime with an X (1.X) in the supported language, making it a great choice.

If you are starting from scratch, I would recommend Express.js as a backend web framework. It is faster and more flexible than Django. Express makes it easy to build web applications offering numerous benefits such as efficiency and quicker development times. Some features that are worth mentioning: middlewares, templating, routing, and debugging.

The most important element that is missing the stack is the database. A Web-Based ERP/Accounting Software require a powerful Relational Database to comply with ACID princliples (Atomicity, Consistency, Isolation and Durability). By atomicity, we mean that that database is able to perform the transactions in an atomic manner. A transaction is just a single unit of work, which can either be one query, or multiple queries. Let's say that we have two accounts. And we need to transfer $100 from account one to account two. Now this transfer is just one transaction, but it is going to consist of three different steps. The first step is checking if the account one does have $100. The second would be upgrading the amount of account one to be $900. And the third would be taking this $100 and making the balance and account two be $200. If the database does support atomic transactions, if one of these three steps fail, the whole transaction should fail. This is what atomicity is.

Consistency means that the database should help in achieving the correct data state, adding certain constraints. We can add a constraint on the amount column that it can never be negative, and the database must make sure that this constraint must always be followed.

Then, we have isolation, which is mainly about the concurrency control. Let's say that we have an account which has $1,000, and there are two persons A and B trying to get the money out of this account. So $1,000 and $100. If we let both of these transaction happen at the same time, this would result in the reduction of $1,100. So the balance will result in the negative $100. Isolation prevents this to happen.

Finally, durability means that once a transaction is committed, the data must be written to the non volatile memory or the storage. So that even if the crash happens or something wrong happens with the database, the data must be there and not be corrupted.

In terms of relational database my recomendation is using Postgres. Postgres is an object-relational database, while MySQL is a purely relational database. This means that Postgres includes features like table inheritance and function overloading. Postgres also adheres more closely to SQL standards.

If you already have some knowledge in C# you can go with ASP.NET Core MVC and continue your learning path (if you liked the language in the first place). but both solution will allow you to build an ERP/eCommerce project.

There is not too much difference between Django and ASP.Net Core MVC both follow the same design principles for building application, they both flexible, provide a lot of library, have a great community support..

The downside (thats my opinion) with ASP.Net Core you are going to follow the Microsoft philosophy of doing thing and you will mostly by tight to there products lineup. Instead of Django where you'll have more freedom.

If your concern is - Robustness: both are valid choice - Long Term Support: Go ASP.Net why? Because the project is maintained by Microsoft the chance that the project go unmaintained is low. Django is more Open Source we never know when it will stop be maintained.

The best I can give you, it's to try both and make your own opinion. Build a Proof of Concept and see by yourself.

I found that Python-Django is the most powerful platform/framework to build any kind of application. It's not. Even you change "Python-Django" to something else, it still will not be a valid statement. Each tool/service/language/framework has advantages and disadvantages and should be considered in each case separately.

Next, Python is a scripting language, C# is a typed one. For serious projects in most cases typed languages are the better choice.

Finally, if you have some .NET experience, ASP.NET Core looks obvious choice.

ASP.NET will work better in a windows environment. Django probably works better in a Unix environment. I feel like there are a lot more hosting options for Django on Unix (digitalocean, Heroku, Linode, AWS, ...).

So, I think Django.

However, I like Unix and python better, so I'm biased.

Globally, Spring Boot is more demanded than Django. For example, there are about ten times more open positions for Spring Boot than for Django in Brussels. So this naturally drives up the price of developers mastering Spring Boot. If you have an opportunity to work with Spring Boot, I suggest you take it, as it is a sound career decision. Furthermore, your experience with Django will help you to master Spring Boot, as both frameworks share many concepts. That said, Django positions do also exist, and it's absolutely not a bad decision to become an expert with that framework either. Django developers seem to like it very much.

My mantra is not sticking to a particular technology. That is what I'd suggest. Going by that, I recommend you learn both, Django and Spring Boot. But if you want to choose one among the two, I'd say stick with Django. Saves you the effort of learning a new language and a new framework. Rather, you can spend that time honing your Django skills. It is a wrong notion among young graduates that organizations decide pay based on your technology stack. You just need to be good at a technology that is in demand. You'd be paid well no matter the technology. Django is a wonderful framework and there are tons of companies looking for Django experts. The same can be said about Spring Boot. Both are wonderful technologies in their own accord. As for you, just go with the technology you are already familiar with. It is a misconception that Spring Boot developers get paid better than Django developers.

Learn both. Spring boot takes more time to learn, because you need to understand spring core first, then spring MVC, then build tools like maven, pom (to truly master spring boot application deployment) One specific technology is never going to land you a job. Go for the whole stack. Example, organizations that use spring boot, won't just look for candidates with spring boot. They might ask for docker, Kubernetes, JavaScript, some ui framework like angular/react, maven, git, etc. Learning curve for python django is easy and small. Focus one technology at a time. Learn it in a couple of weeks. Then go on to another technology in the stack. If you master multiple stacks say java stack, data science stack, web development stack then you should not be short of opportunities. More opportunities means more bargaining power. Having said that, don't run behind money. Money is necessary to sustain but it is not worth pursuing. Pursue moral values, or at least technical excellence. And money will follow wherever you go.

Hey there 👋,

Daniel from the Prisma team here.

I think your choice of a stack would work well for your final year project.

Some recommendations: - Use PostgreSQL if you need a stable stack. Prisma support for MongoDB is currently in Preview and therefore isn't stable. Moreover, PostgreSQL being a relational database enforces a schema more strictly than MongoDB which is useful given that your data model involves multiple relations. - If your Django backend exposes a REST API, you can also expose it over the GraphQL API by proxying requests from the GraphQL API to the REST API. That way, you have a unified API for all operations. This is typically known as wrapping. - Regarding the GraphQL part, I would consider looking at Nexus and nexus-prisma.

For inspiration, check out the Prisma Examples ​repository which contains many ready-to-run examples.

Here's another fully-fledged example using Prisma, Fastify, GraphQL, and PostgreSQL: https://github.com/2color/fastify-graphql-nexus-prisma

Hi. Maybe you can try use FastAPI instead Django https://fastapi.tiangolo.com It could be faster. The FastAPI documentation is so useful and elegant.

Also you can try split a little more the backend and use an "microservice" architecture. Using Kubernetes to deploy your services.