But if I needed a FE or mid-tier application dev to magically be an infra person, mongodb starts looking good again. So, mongodb maybe not Obsolete (it's popularity would attest otherwise if nothing else), but id take a better option if I were able. The main difference between these two is that SQL databases, also called Relational Databases (RDBMS), have relational structure and NoSQL doesn’t use relations. MongoDB can manage structured and unstructured data. Databases For my analysis I used 4 databases: MySQL PostgreSQL Redis MongoDB Here we have both SQL and NoSQL databases. Databases in particular can be a bit tough if we’re unsure how our data is going to be used. Choosing the right tech to solve a problem can be a harrowing experience. Rather than storing data in tables, MongoDB stores its data in collections of BSON (Binary JSON) documents. 13 min read Christina Kopecky One of the things that we may struggle with as developers when working on a green field project is our stack. Pg/jsonb is powerful, and if you have someone willing to be a db admin postgres is extremely powerful. PostgreSQL MongoDB is a scalable and flexible NoSQL document database. And once you're at medium to large, the mongodb pain of transactions as a second class citizen, lack of data integrity options, schema fluidity, and overall less strict structuring makes Pg much more appealing. And imo there aren't that many hardcore document only problems at the small or even medium size. It also has an enterprise edition that provides more features and functionality. That said, for the aforementioned side project, a few nights got me the basic pieces of the API in place (next big step is the aggregation pipeline, which id argue is intermediate for mongodb and much less used), so it's not hard to adapt a codebase to pg/jsonb. As any database administrator knows, the first question you have to ask yourself is whether to use a SQL or NoSQL database for your application. Those two things mean you _can_ move faster than with postgres (with the same relative amount of knowledge) Get the latest insights on our supported databases MySQL, MongoDB, PostgreSQL, Redis, and many others to see which database management systems are most favored this year. Also, operationally, mongodb is easier to run, between Atlas and having more clustering capabilities available for "easy". the mongodb API is the defacto "standard" API for document dbs as far as I can tell, and realistically SQL is a notable barrier for application devs. for a problem thats truly document oriented workloads mongodb still seems more efficient, if not in literal performance then in scope and understandability. I guess I've also got a few nights on a project to make a mongodb compliant API for postgres jsonb in python. My background here is just a user of both, nothing too deep or profound.
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