Just a note, around 2:00 you mention that Mongo is more simple, and Postgres is more complex. The diagram contradicts that. Just leaving this here in case you feel compelled to revise this.
Hey! Thanks for your content, it's so cool! My company opted for MongoDB for our rapidly growing startup due to its scalability and cloud-native features. The flexibility was crucial for iterating on our data model as we learned more about our users. ;)
I recently migrated from mongo to postgres, a multi-million records database. Postgres is way faster and you have the ability to use the functionality of a relational database, making it much easier for developers to extract data.
PostgreSQL is not natively horizontally scalable in the same way as some NoSQL databases like Cassandra or MongoDB. However, it can achieve horizontal scalability with the help of additional tools and architectures
Just about any database will become complex with time, and need intricate security levels. PostgreSQL comes out ahead in this high level comparison - but maybe not everybody can afford a badass central server after a period of growth... or they really hate to look at SQL. (Yeah, SQL is very "1970s" looking. Fortunately it's a good, portable language to be familiar with.)
All assumptions far from true, mixed with numbers based on factual data (that is good) however content creators assumptions contradicting each other. No mention about Postgresql extensibility, namely extension realm, which is the Postgresql's killer feature.
One scales out horizontally and for processing large amounts of data while the other doesn't. So, not much benefit with the one which scales vertically. MongoDB all the way!!!!!
Great video! As a Python developer, I initially leaned towards MongoDB for its flexibility and ease of integration with frameworks like Django. However, for my current project involving complex financial data analysis, PostgreSQL's robust relational structure and SQL capabilities proved invaluable. Ultimately, the choice depends on the project's specific needs. 🤖
What data challenges did you throw at MongoDB/PostgreSQL? Tell us your stories! ☺
Just a note, around 2:00 you mention that Mongo is more simple, and Postgres is more complex. The diagram contradicts that. Just leaving this here in case you feel compelled to revise this.
Hi! Thank you for your feedback and attention!
Hey! Thanks for your content, it's so cool! My company opted for MongoDB for our rapidly growing startup due to its scalability and cloud-native features. The flexibility was crucial for iterating on our data model as we learned more about our users. ;)
postgresql supports jsonb
I recently migrated from mongo to postgres, a multi-million records database. Postgres is way faster and you have the ability to use the functionality of a relational database, making it much easier for developers to extract data.
and Postgre is not horizontally scalable?
PostgreSQL is not natively horizontally scalable in the same way as some NoSQL databases like Cassandra or MongoDB. However, it can achieve horizontal scalability with the help of additional tools and architectures
Just about any database will become complex with time, and need intricate security levels. PostgreSQL comes out ahead in this high level comparison - but maybe not everybody can afford a badass central server after a period of growth... or they really hate to look at SQL. (Yeah, SQL is very "1970s" looking. Fortunately it's a good, portable language to be familiar with.)
All assumptions far from true, mixed with numbers based on factual data (that is good) however content creators assumptions contradicting each other. No mention about Postgresql extensibility, namely extension realm, which is the Postgresql's killer feature.
Thank you for sharing your feedback!
I am currently trying to migrate from firebase to postgresql. This has solidified that
One scales out horizontally and for processing large amounts of data while the other doesn't.
So, not much benefit with the one which scales vertically. MongoDB all the way!!!!!
You can also scale postgres horizontally
Thats great I wanna master both of them.
That's cool! We wish you good luck in it!
@@Jelvix Tnx
Great content
For Me im sticking to MONGO DB
Great video! As a Python developer, I initially leaned towards MongoDB for its flexibility and ease of integration with frameworks like Django. However, for my current project involving complex financial data analysis, PostgreSQL's robust relational structure and SQL capabilities proved invaluable. Ultimately, the choice depends on the project's specific needs. 🤖