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Flexible, Fast, Easy to Setup
What do you like best about the product?
The Schemaless design makes rapid prototyping and iteration incredibly easy. The free tier platforms make it a great option for trying out and can take you incredibly far though there are great options/support provided for Enterprise services. For programmers, there are many well-maintained libraries for wrapping around the API.
What do you dislike about the product?
Though the database itself is fantastic, the third party tools to manage DBs are only ok. They are improving, but tools like 3T and Robomongo don't take complete advantage of the schemaless model.
What problems is the product solving and how is that benefiting you?
Data backups, restoring instances, and fast-paced products are all made easier with Mongo.
Recommendations to others considering the product:
Make sure you read above the vulnerabilities of unsecured Mongo instances and don't get your data kidnapped!
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Incredibly good
It's very easy to setup.
The price is affordable.
They offer good support.
The only things I miss are:
Manual backup button (to make a backup right now)
Web query interface
Everything as advertised...but beware AWS costs
So, granted, much of this can be attributed to my inexperience with AWS and their billing, but Atlas makes it so easy to setup, perhaps a warning of:
1) both the cost of Atlas service itself;
2) the cost of the AWS servers Atlas needs to run on;
is warranted when calculating the total expected bill.
So, 5 stars for Atlas. Ding on the cost calculator and unexpected high bill from AWS.
Easy to work with...
What do you like best about the product?
Mongo was extremely easy to get started with. We found lots of resources to get up and running (from both Mongo and 3rd parties) but none were really necessary. The performance for our relatively small (~20GB) dataset is fine. There are a number of cloud services that provide hosted solutions.
What do you dislike about the product?
The fact that it was easy to set up also meant we left lots of default settings for way too long. Coming from a RDBMS world, it was tough to fully understand and apply the aggregation framework that MongoDB uses. Additionally, being a NoSQL DB, not having a schema for our data has burned us many times. For example, before we hardened our code, our dates were stored as Date objects, numbers, Strings, and nulls.
What problems is the product solving and how is that benefiting you?
We are using MongoDB for our primary storage medium. It is easy to use, performant enough for our needs, and easy to find help and support for.
Recommendations to others considering the product:
If you are looking for an easy NoSQL database to use, MongoDB is a good place to start. However, be aware that the flexibility gained by using schema-less persistence must be made up in code.
MongoDB a different alternative
What do you like best about the product?
Well i like the fact that is schema less , the structure of a single object is clear we do not have complex joins.
Deep query-ability., and it is something that is in trending
Deep query-ability., and it is something that is in trending
What do you dislike about the product?
Well first thing i am so use to tradiciont TSQL so i am still getting used to it, sata size in MongoDB is typically higher, less flexibity with querying (e.g. no JOINs), no support for transactions(or maybe i do not know how to do them ).
What problems is the product solving and how is that benefiting you?
Running regressions and store the result
Recommendations to others considering the product:
Try to provide a path for the ones that are TSQL to experience MongoDB sometime we are affraid of the transition because we got the feeling that Mongo might not be as stablish as less say MSSQL
Powerful NoSQL DB
What do you like best about the product?
MongoDb is a powerful NoSQL DB and has become very performant with the addition of the WiredTiger storage engine. MongoDB is easy to setup and easy to work with in a variety of languages. Editing data is easy, since it is essentially modifying JSON.
What do you dislike about the product?
Joining data can be a bit hairy, so you have to make sure MongoDB is actually the correct solution for your use case. Querying can sometimes be confusing at first when wanting do more than a simple field match.
What problems is the product solving and how is that benefiting you?
We use MongoDB collections for storing a variety of content data that powers our website. An object can be a specific product or an article, or configuration data.
Recommendations to others considering the product:
Mongo is a great schema-less option that can allow you to dump your objects straight from your code as-is. This means not having to deal with normalization like in relational databases and having to do joins across collections, since all the data can be tied directly with the object. This requires a different mindset than when designing a relational DB-based project.
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
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.
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