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Perfect for data storage
What do you like best about the product?
It was easy to create the database and not hard to understand how work a MongoDB database
What do you dislike about the product?
The function ‘where’ is really long, I have to create complicated request on MongoDB.
What problems is the product solving and how is that benefiting you?
We use at work for the storage of legal documents (attestation of trainee)
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NoSql database
What do you like best about the product?
Easy to query, no complex joins required as RDBMS.
Scalable and flexible with the querying and indexing
Scalable and flexible with the querying and indexing
What do you dislike about the product?
Data consumption is high due to denormalizarion
What problems is the product solving and how is that benefiting you?
Mapping is little slow. No default transaction support
No DBA required
What do you like best about the product?
Easy to maintain and flexible. Doesn’t have complex tables and can view as Json
What do you dislike about the product?
Doesn’t support when large amount of data is loaded
What problems is the product solving and how is that benefiting you?
None
MongoDb: Indexing made search convenient
What do you like best about the product?
The best part is that you can create database on runtime with no restriction for data types.
Indexing makes it even more convenient to search for an specific records or no of records, it saves time and search in a targeted manner.
Indexing makes it even more convenient to search for an specific records or no of records, it saves time and search in a targeted manner.
What do you dislike about the product?
It command line interface needs experts to work with. It should have been a better UI for everyone's convenience.
It sometimes doesn't work when working with huge data processing.
It sometimes doesn't work when working with huge data processing.
What problems is the product solving and how is that benefiting you?
There is no need to create complex schemas for a dataset.
Great NoSQL solution
What do you like best about the product?
I like that JSON files can be directly added to a collection. This makes it a good choice when a lot of the data is of JSON type
What do you dislike about the product?
In some cases, the performance is inferior to relational DBs (Example Postgres)
What problems is the product solving and how is that benefiting you?
In my current team, it is the default database solution. Used for logging metadata in test cases.
Recommendations to others considering the product:
The standard NoSQL solution. Great choice for fast development.
Mongo software optimized for query analysis
What do you like best about the product?
It is very valuable to have MongoDB through this software it allows us to have a high performance for the analysis of queries It has a large storage space for all our data, its main functionality is that it stores the data in the form of json, which is the data format standard in JavaScript, it's easy to use
What do you dislike about the product?
The management of MongoDB is a little complex, they should be strengthened with instructions, videos and others to have it available to support us to use this program.
What problems is the product solving and how is that benefiting you?
At the time of acquiring this software we want to have as a support part manuals of instructions, videos of operation, so that it was easier to use
Recommendations to others considering the product:
Document-oriented database, it is easy to use and at low cost. very good alternative to improve your databases
I use it over SQL Database.
What do you like best about the product?
It allows for the database expand-ability in any time in the project that i am building.
What do you dislike about the product?
You have to host it differently soit would be nice if it came with a package with mean stack.
What problems is the product solving and how is that benefiting you?
I use it to store all my data.
You can start quickly on projects which allow you to store many things
Any business types where we need instructional data.
How has it helped my organization?
In a previous company where I worked, we were able to use MongoDB as a pure data storage using the block storage mechanism for our clients.
What is most valuable?
You can start quickly on projects which allow you to store many things.
What needs improvement?
I would like a more comprehensive dashboard. The UI can be difficult to understand.
Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
The stability is very good.
In my previous company, we had a lot of data coming in every day, and the product remained stable.
What do I think about the scalability of the solution?
We have been able to scale from gigabytes to terabytes easily.
How is customer service and technical support?
I have never used technical support.
How was the initial setup?
The integration and configuration of MongoDB in the AWS environment is quite good.
What was our ROI?
In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars.
Which other solutions did I evaluate?
My advice is make developers understand NoSQL databases. For people coming from the SQL world, this is a new way to develop applications and that is the point to focus on. In the NoSQL world, MongoDB is a product that has a good awareness and has proven to be very good.
Our clients also evaluate Cassandra or other key value storage vendors. Its depends on what they want to do exactly. MongoDB is somewhere in the middle between pure key value and something like Cassandra, which is designed for bigger deployments.
MongoDB is fortunately well known now in the development community and has a good framework for languages, which is why our clients chose the product.
What other advice do I have?
We are always integrating this product with our business applications because it is a database. Without our applications, the product doesn't make sense. The integration is quite straightforward, because of the consistences within MongoDB, you can find where to connect it.
Product Review - MongoDB
What do you like best about the product?
MongoDB is a NoSQL database which has the ability to handle large unstructured data. It's a flexible database i.e. schemas less which gives us a freedom to store data of different types which we were not getting in SQL databases.
Another mani benefit which i have seen in MongoDB is Sharding which allows us to distribute the large data to the several servers connected to the application.
Another main thing was Scalability as we were dealing with loads of data, It is a horizontally scalable database.
Another mani benefit which i have seen in MongoDB is Sharding which allows us to distribute the large data to the several servers connected to the application.
Another main thing was Scalability as we were dealing with loads of data, It is a horizontally scalable database.
What do you dislike about the product?
I would not say i dislike but it depends on the use case that we are using.
First thing, JOINS are not supported which is the backbone of SQL databases.
Another thing is the maximum document size which can't be greater than 16MB. I really don't understand what's the concept of this limit.
First thing, JOINS are not supported which is the backbone of SQL databases.
Another thing is the maximum document size which can't be greater than 16MB. I really don't understand what's the concept of this limit.
What problems is the product solving and how is that benefiting you?
We are trying to use a database in which the schema is not fixed and can be changed over time which is not easily possible in SQL database.
Another thing, we want to handle large unstructured data and most of our service are cloud based, mongoDB was our best shot i say
Another thing, we want to handle large unstructured data and most of our service are cloud based, mongoDB was our best shot i say
Recommendations to others considering the product:
If your data is not structured/planned/fixed and complex to handle and large data , you should opt MongoDB .
The integration went well and was lightweight
It is one of the main database back-ends for one of our products in the company.
How has it helped my organization?
* It has a flexible integration with our easy API.
* It has a good, easy integration with other tools that we use for this product.
What is most valuable?
* Flexibility
* An easy API
* Its redundance: We have a cluster of three very solid instances, so its very reliable.
* The integration went well and was lightweight.
What needs improvement?
During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
We have good impressions of the stability.
We are good as far as the stress that we place on it. This is one part of the product that we are not worried about.
What do I think about the scalability of the solution?
The scalability is good. We use a three instance cluster for this installation, and it works great. Therefore, we haven't had to touch it for awhile, which is good.
How was the initial setup?
Our backups required some configuration.
Which other solutions did I evaluate?
I did not evaluate the product because I am on the operations side and the design was already done.
What other advice do I have?
Look at what MongoDB can do for you in terms of database back-end persistence. I would recommend to look at this first before you start looking at other solutions.
My company is interested in putting out products that are reliable for our customers, which we can monitor easily. We also want them to be easy to install and deploy, which is why I am happy with this one.
We are running this on an AWS instance.
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