Future of Databases: A Critical Review of MongoDB
What do you like best about the product?
What I like best about MongoDB is its flexibility. Most of the database require fixed schema bt MongoDb allows you to store data in a more dynamic way and document based format. This document based structure is very straightforward and very easy to use even for the newcomers. It is very flexible.
Also setting up MongoDB is quick and it integrates very easily with other platforms.
MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries.
Also setting up MongoDB is quick and it integrates very easily with other platforms.
MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries.
What do you dislike about the product?
However MongoDb is less efficient for complex queries and transactions than traditional databases. Also while handling lare datasets it require very large memory and storage which can be costly.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy.
What problems is the product solving and how is that benefiting you?
MongoDB solves several problems related to data management. Earlier traditional databases required a fixed schema which made difficult to handle large data. MongoDb allows flexible schema which allows us to easily change data models without much downtime.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.
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