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Easy NoSQL solution
What do you like best about the product?
Easy to use, but still require a little reading up before able to put to use. Able to search for specific usage relatively easy on the web. Stays out of the way of developers attention
What do you dislike about the product?
Nothing I do not like so far. If anything, you can improve the preformance
What problems is the product solving and how is that benefiting you?
A mySQL replacement. MongoDB delivers and improve my speed of delivery
Recommendations to others considering the product:
It delivers. I think it is easier to use than SQL solutions. No problems with it
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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.
mongo as utility to hold large data
What do you like best about the product?
holding a generic large scale of data in mongo-db
What do you dislike about the product?
the documentation is not very clear/updated
What problems is the product solving and how is that benefiting you?
holding large scale of data
Recommendations to others considering the product:
it is a very good utility to hold large data but searching in this data is not very fast
MoongoDB as Database
What do you like best about the product?
easy administration of the database as well.
What do you dislike about the product?
I don't have any complain of the product
What problems is the product solving and how is that benefiting you?
sensor data
My favorite NoSQL database especially with Node.JS.
What do you like best about the product?
Very flexible, homogeneous with Node.sj, very high speed, good utility functions, and easy powerful queries.
What do you dislike about the product?
Establishing relations between collections needs to be done manually and a bit error-prone.
What problems is the product solving and how is that benefiting you?
Designing databases for websites and mobile application development.
Recommendations to others considering the product:
You should go for it if especially if you want to develop with Node.js framework.
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
MongoDB Review
What do you like best about the product?
Mongo is very easy to get up and running. I also enjoy working with the dynamic non-relational JSON collections. It is quick and easy to work with which makes it great for rapid prototyping. The database is also entirely free.
Another aspect I enjoyed about using Mongo was the availability of free educational resources. I enrolled in MongoDB for .NET developers which quickly got me up to speed and I was able to quickly start working efficiently with Mongo at work.
Another aspect I enjoyed about using Mongo was the availability of free educational resources. I enrolled in MongoDB for .NET developers which quickly got me up to speed and I was able to quickly start working efficiently with Mongo at work.
What do you dislike about the product?
The collections used in Mongo don't have support for joins, so if you're working with very large sets of data where you need multiple joins, you may be better off with a relational schema.
What problems is the product solving and how is that benefiting you?
I currently use Mongo as a document storage repository and it has been great thus far. Since I am only working with documents, and not multiple large sets of data, the dynnamic JSON collection structure works very well for this.
Recommendations to others considering the product:
I recommend Mongo to any developer. It is very quick and easy to pick up with only a small learning curve. Also great for rapid prototyping and for putting together a proof of concept. Mongo is also great for scalability with the concept of automatic sharding as the amount of data in your database continues to increase.
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.
Simple, performatic and robust
What do you like best about the product?
It's simple query language and drivers make it easy to learn for adopters while still delivering the necessary power needed for complex analysis.
As a platform, it can handle almost instataneous queries over large datasets and still not give up on write performance.
Some of our scenarios analysis and use cases couldn't be performed on real time on a traditional RDMS and MongoDB empower us to do this.
As a platform, it can handle almost instataneous queries over large datasets and still not give up on write performance.
Some of our scenarios analysis and use cases couldn't be performed on real time on a traditional RDMS and MongoDB empower us to do this.
What do you dislike about the product?
If you take into account the CAP theorem* MongoDB is clearly positioned as CP solution, and while some solutions such as Cassandra can be tuned to allow the developer to change it's priorities using read or write concerns, MongoDB will never let you write to secondaries, this way you cannot favour Availability over consistency, so for any application that requires instantaneous failover it is not recommendable.
*https://dzone.com/articles/better-explaining-cap-theorem
*https://dzone.com/articles/better-explaining-cap-theorem
What problems is the product solving and how is that benefiting you?
Our latest product to be delivered with MongoDB works on enforcing call center workers schedule and monitoring all possible events on the operations, the real and alerts could not be done on the traditional platforms without a massive work on optimization and the performance we have today would be unachievable.
Recommendations to others considering the product:
Take a time to rethink your concepts on data modeling and accessing before implementing your application on MongoDB, the main idea of document storage is to model the dataset based on your application's data access patterns while most companies are used to the RDMS third form pattern that tries to do the opposite, so a mindset change is desirable when adopting MongoDB
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