MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
508 reviews
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perfect DB platform for Big data analytics scaleout in the cloud!
What do you like best about the product?
Flexibility and scalability...Clearly the perfect DB platform for agile, fast speed to market development while dealing with scale based on commodity, redundant hardware is fantastic!
What do you dislike about the product?
A bit too open and immature (as compared to the RDBMS vendors) at times. If your developers are adult-like, Mongo is an awesome tool to support Agile/iterative development. If you struggle with rigors in the app-tier on data model consistency and enforcement, mongo won't help you much (until latest version).
What problems is the product solving and how is that benefiting you?
Internet of things data collection and big data scalability
Recommendations to others considering the product:
Make sure your developers are adult-like...otherwise go with a more seasoned veteran RDBMS like Oracle or MSSQL
It's great if you're using JSON objects.
What do you like best about the product?
It's very interesting for me when I was developing an application based on Node.js. In our application, everything was in JSON and was extremely easy and efficient to use MongoDB to store JSON objects.
What do you dislike about the product?
I didn't like the errors that produced by MongoDB. They were not sometimes understandable.
What problems is the product solving and how is that benefiting you?
A web-based graph-based search engine.
Recommendations to others considering the product:
If you like to have a very easy-to-use database management system that can handle JSON objects, I highly recommend MongoDB.
Great database for use with your JavaScript and Node.js projects
What do you like best about the product?
Native support of JSON is a great feature of MongoDB and a core requirement for my project. If you are new to MongoDB there are plenty of resources available to get you started with ease.
One of the resources I'd recommend to anyone considering MongoDB is Mongo University. Their free courses give novice MongoDB users all the essential skills to start with MongoDB.
More information is always available in MongoDB documentation.
One of the resources I'd recommend to anyone considering MongoDB is Mongo University. Their free courses give novice MongoDB users all the essential skills to start with MongoDB.
More information is always available in MongoDB documentation.
What do you dislike about the product?
Persnally I find that maintenance of MongoDB can be tricky and might require more training and hands-on experience. One must also be comfortable with command line tools. I am still learning about proper security settings on my project.
What problems is the product solving and how is that benefiting you?
Flexibility and GeoSpatial queries and inexing.
Full-stack development with Meteor.
Full-stack development with Meteor.
Recommendations to others considering the product:
Give it a try.
Fast, scalable and easy to use
What do you like best about the product?
The ease of use , simplicity, and blazing speed
What do you dislike about the product?
It cannot be used for mission-critical application where data is very sensitive, as the mongodb developers recommend against doing that.
What problems is the product solving and how is that benefiting you?
Store a huge set of user data. It has helped me scale up my business in ways that aren't possible with traditional DBMS
Great noSQL product. Installation is less great.
What do you like best about the product?
The speed of the engine, the scalability of it, sharding and the support of the various programming languages.
What do you dislike about the product?
Installation is horrible. Too many machines roles in the setup. Map Reduce doesn't work as expected and is missing reliability (even from mongoDB team themselves)
What problems is the product solving and how is that benefiting you?
Saving big data and querying it. Data that is coming in very fast from our applications, should be easily stored and fetched. Mongo solves this. Unlike couchbase, querying the data is easy and working nice.
Recommendations to others considering the product:
If you want an easy to integrate nosql product, json based, with querying capabilities, and you don't care about long installations, this is the product for you.
Good for starters and heavy read applications
What do you like best about the product?
It's very easy to start with. The console commands are javascript based and a library for every major language officially supported. Great documentation for starters.
Secondary indexes are very useful for query optimization.
The self balancing and sharding out of the box is great for people wanting to write a scalable application based on a datastore without needing to know a lot about database scaling.
Secondary indexes are very useful for query optimization.
The self balancing and sharding out of the box is great for people wanting to write a scalable application based on a datastore without needing to know a lot about database scaling.
What do you dislike about the product?
On a write heavy load, mongo does not perform that well. Or well at all. The self balancing sharding kind of breaks down. Mongo keeps on trying to auto balance in the back ground but fails because of heavy write load.
Also the default _id field is used extensively for sharding internally so overriding that field causes all sort of scaling issues.
Also the default _id field is used extensively for sharding internally so overriding that field causes all sort of scaling issues.
What problems is the product solving and how is that benefiting you?
I have used mongo as a data warehouse and as a event storage system. One is a read heavy usage, other one is write heavy. The big pro is how easy and quick it is to setup and start using. Con is definitely it's inability to scale with write heavy load.
Recommendations to others considering the product:
If your application is read heavy, mongo is a great to get going. If it's write heavy, I would do some load testing before I go with mongo in production
Using for research in my Campus
What do you like best about the product?
Simple to qery and its performance is the best
What do you dislike about the product?
not listed in linux repositoy, like debian or ubuntu repositry or rhel or centos repository
What problems is the product solving and how is that benefiting you?
for sms gateway and system log. its so lighty.
Recommendations to others considering the product:
good for system log in your server adminsitration,its like use log file but in dbms
Non relational database MongoDB for multiple purposes
What do you like best about the product?
Since this is a non relational database it offers a different approach for storing data. It's a whole different world.
This db can be used for cache layers in large scalable systems. Can be used as well as an alternative database for web systems. In my personal experience I have used it and have seen it being used for large mobile apps.
This db can be used for cache layers in large scalable systems. Can be used as well as an alternative database for web systems. In my personal experience I have used it and have seen it being used for large mobile apps.
What do you dislike about the product?
The transition from relational databases to non relational like mongo can be hard sometimes, but once you get used, a learning curve that lasts about 1 month you will love it.
What problems is the product solving and how is that benefiting you?
To handle large amounts of data this db is a good option.
Recommendations to others considering the product:
If you need to scale a system, or store large amounts of data, this is a good option.
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.
Used MongoDB for pretty small production usage - 1,200 documents at max.
What do you like best about the product?
The best things in MongoDB is the schema-less db - it helps move forward rapidly in prototypes.
What do you dislike about the product?
The query language is really hard to use, I would like it to be easier to query nested structures (such deep arrays or deep properties), I want to it to be intitutive like sql for data exploration.
What problems is the product solving and how is that benefiting you?
The problems I am trying to solve are simple CRUD for storing metadata on instances.
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