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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.
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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.
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.
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?
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