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Excellent Document DB
What do you like best about the product?
Very easy to get started, with very simple tuning you can get good performance.
Designing the data model is pretty straight forward - match the document structures to your find patterns and you'l be fine.
Designing the data model is pretty straight forward - match the document structures to your find patterns and you'l be fine.
What do you dislike about the product?
default configurations may lead to data loss - not something you want to find out in Production.
We've had incidents were data was lost or corrupted due to the way the internal replication works.
These are real "corner-cases" but if you need 100% guaranty of your data it's an issue.
We've had incidents were data was lost or corrupted due to the way the internal replication works.
These are real "corner-cases" but if you need 100% guaranty of your data it's an issue.
What problems is the product solving and how is that benefiting you?
Our product mainly uses Mongo to store "resources" - mostly things that can be fetched by IDs.
mongo is also used as a staging area due to it's flexibility and performance.
Last but not least, Mongo stores our Audit information.
Mongo did all of the above without any issues.
mongo is also used as a staging area due to it's flexibility and performance.
Last but not least, Mongo stores our Audit information.
Mongo did all of the above without any issues.
Recommendations to others considering the product:
MongoDB is a very simple to use yet very powerful document DB.
It's main powers are at the 2 ends:
- the very simple use cases: configuration management etc.
- the very large scale use-cases, for when a single machine is simply not good enough.
Since mongo can scale tremendously with very little effort and gives good performance it's definitely worth considering.
One thing to note here is that most developers and many DBAs are used to thinking in a relational model and might find Mongo to be lacking in features such as JOINS and might even try to implement it on the application side.
- it's not directly related to Mongo as a product but to the fact that it might take an extra effort to make the mind switch to work in a way which is more optimal to Mongo.
It's main powers are at the 2 ends:
- the very simple use cases: configuration management etc.
- the very large scale use-cases, for when a single machine is simply not good enough.
Since mongo can scale tremendously with very little effort and gives good performance it's definitely worth considering.
One thing to note here is that most developers and many DBAs are used to thinking in a relational model and might find Mongo to be lacking in features such as JOINS and might even try to implement it on the application side.
- it's not directly related to Mongo as a product but to the fact that it might take an extra effort to make the mind switch to work in a way which is more optimal to Mongo.
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Fantastic DB for all aspects of the technical lifecycle
What do you like best about the product?
Quick and easy setup for prototyping applications without overly worrying about data structures, strong integration with high quality frameworks like NodeJS and Meteor, great to use when your using Javascript within your stack. The latest version that allows for joins within the aggregation pipeline has been fantastic.
What do you dislike about the product?
How much flack MongoDB (and most NoSQL DBs) get when people try to use them without understanding their benefits
What problems is the product solving and how is that benefiting you?
Working heavily with the MeteorJS framework which is tied directly to MongoDB, not only do we use it in our production app we also use it for all of data analysis DB
Recommendations to others considering the product:
Ensure it meets your requirements, which I guess can be said of any technology, mainly that whatever framework your using integrates well with MongoDB and has all the functionality you need it to have. In particular, how important are lots and lots of joins?
Good Database for Big data processing
What do you like best about the product?
Great data store in for nosql data stores.
What do you dislike about the product?
reliability is one concern with the no sql databases. Hence need to be improved upon. Not sure if ACID might be applicable to ur usecase but thats something I dont rely on mongodb for
What problems is the product solving and how is that benefiting you?
I am trying Mongodb for some analytical datastore where delays are OK. I will not use Mongo db for transactions data though.
Recommendations to others considering the product:
- Use it for application where Delays are OK.
Use mongodb in the app control system setting because the way to build ourql commands is very simple and powerful. Especially great when operating on small teams and most important, mongodb needs no standardization when the information is held in a pole/data set.
Use mongodb in the app control system setting because the way to build ourql commands is very simple and powerful. Especially great when operating on small teams and most important, mongodb needs no standardization when the information is held in a pole/data set.
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