For MongoDB as a service, there are two distinct ways to use it: as a personal user, where one can register on Atlas and experiment with its features; and as a professional, where one can use it for backup management, environment management, and creating figures. Additionally, MongoDB Atlas has features such as data lake capability, the ability to create charts from queries without using other BI tools, and Apache Lucene for text search. I have experimented with these features, but I have not used them professionally. The most relevant use for me is managing backups. Atlas MongoDB also allows for making REST calls and creating applications with triggers, although I have not used it for programming applications much.
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Free to use, NoSQL :)
What do you like best about the product?
Actually, I have more experience with Relational DB(s), but I used Mongo in a few projects. And I was happy with the usage of this in these projects. Free, lightweight and doesn't have strict structures.
What do you dislike about the product?
I don't have too much experience with it. For now I don't worst case with it yet.
What problems is the product solving and how is that benefiting you?
Lightweight, free and easy to implementation
Easy to deploy, scalable, and has great technical support
What is our primary use case?
How has it helped my organization?
It has a good easy to use gui and the ability to do most of the management operations under automation
What is most valuable?
The most useful feature is the management of the backup. I use a managed tool offered by MongoDB to manage an on-prem environment and compare it with the SaaS service and software. The solution is very ready-to-use and it is much simpler to manage backups, which cuts down on the amount of work and stress. However, at least two other features should be mentioned in the current versions. Search integrated with Lucene and the possibility of storing vector data.
What needs improvement?
There are some Mongo new features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud. MongoDB is currently working on these features. With the latest version of Mongo, there are new tools that help with migrating. However, currently, only Mongo can use these new features. Soon these migration tools should be released to the public and could really assist with migration also from SQL on-prem environment to Atlas.
For how long have I used the solution?
I have been using the solution for four years.
What do I think about the stability of the solution?
The solution is very stable.
What do I think about the scalability of the solution?
I give the scalability a nine out of ten. MongoDB is very easy to scale and with Atlas, it is possible with a few clicks and configurations.
How are customer service and support?
The technical support team is skilled, prepared, and really helpful.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is straightforward. Only one person is required for deployment.
What's my experience with pricing, setup cost, and licensing?
For me, MongoDB Atlas could be expensive as every cloud service because I don't have many other terms of comparison, but I think it is not so expensive for customers. In the end, they may be able to save money rather than buy it on-premise however, on-premise, they do not have access to all the features that Atlas exposes. The costs are similar to having a cloud provider and if we look at the short-term, there is a real saving of money investing in their service instead of making it on-prem in the same scenario.
What other advice do I have?
I give the solution an eight out of ten. I am not familiar with other SQL databases on the cloud. I know that Atlas is quite stable and the service is good, providing customers with all the necessary features to use it as a service. MongoDB Atlas is integrated and available on Google, AWS, and Azure.
I advise people to take advantage of the free courses from MongoDB University that are very well done to gain a general knowledge of MongoDB. Therefore, if someone has no experience with Mongo, they can get great preparation for the MongoDB University course without spending any money.
Which deployment model are you using for this solution?
Public Cloud
Very good and useful
What do you like best about the product?
it is very useful for the query language and easy to store the data and retrive the data from the data .
What do you dislike about the product?
there very no dislike actually it is very helpful .
What problems is the product solving and how is that benefiting you?
to store the data in the DB for the development purpose
A NO-SQL database you must try
What do you like best about the product?
Firstly it is easy to use and can be easily integrated with python. UI is great, and you can scale it up to your needs.
What do you dislike about the product?
The only drawback I feel is this does not support ACID properties and the lock mechanism is not up to the standard if compared with relational database.
What problems is the product solving and how is that benefiting you?
We used MongoDB to store the locations of the users who use our product. It was really easy to structure out tables, and we scaled it up to a few thousand rows of data. Till date, it works really nicely.
"Easiest NoSQL Database"
What do you like best about the product?
MongoDB is the most straightforward NoSQL database interface, which helps us to resolve queries regarding the relational database approach. Also , till now I have not ever heard of any other platform for NoSQL as MongoDB.
What do you dislike about the product?
The least helpful thing about MongoDB is limited data size, i.e., you cannot have a document size greater than 16 mb. Also, MongoDB doesn't support joins functionality which needs to be improved.
What problems is the product solving and how is that benefiting you?
MongoDB solves problems like storing the data in the structured or unstructured form as it uses the JSON format to store the data. MongoDB helps businesses by providing high speed, it's speed must be 100 times faster than the relational databases.
Abysmal Support | Account Creation Issues
What do you like best about the product?
I was unable to fully experience MongoDB's offerings before running into the wall of canned condescending responses from "support" staff.
What do you dislike about the product?
- Creating an account with Github is bugged/glitched
- No ability to add the above integration(s) after creating an account via email
- Account with freshly created database seems to just, disappear, and password can't be recovered.
- Created a redundant account with the same exact email address, hoping it would integrate, it did not. And support staff cannot find it.
- Support for free tier is VERY basic and constantly try to upsell you to paid support for a free DB tier, so if you run into account creation issues, before you can even get started, you will be asked to pay for support, making their "free tier" and "trial phase" a complete joke, or a scam, depending on your point of view.
TLDR: MongoDB staff will try to upsell you constantly pushing paid support plans while you're trying to just get logged in or recover your account.
As soon as you create your account, be sure to copy down your "organization URL" because it's one of the things they will ask for in the event you can't log in.
They will ask you to pay for support to delete an account as well.
My advice? Use something else. Lots of noSQL options out there.
- No ability to add the above integration(s) after creating an account via email
- Account with freshly created database seems to just, disappear, and password can't be recovered.
- Created a redundant account with the same exact email address, hoping it would integrate, it did not. And support staff cannot find it.
- Support for free tier is VERY basic and constantly try to upsell you to paid support for a free DB tier, so if you run into account creation issues, before you can even get started, you will be asked to pay for support, making their "free tier" and "trial phase" a complete joke, or a scam, depending on your point of view.
TLDR: MongoDB staff will try to upsell you constantly pushing paid support plans while you're trying to just get logged in or recover your account.
As soon as you create your account, be sure to copy down your "organization URL" because it's one of the things they will ask for in the event you can't log in.
They will ask you to pay for support to delete an account as well.
My advice? Use something else. Lots of noSQL options out there.
What problems is the product solving and how is that benefiting you?
They didn't. They actually wasted quite a bit of my time and created more problems they wanted to be paid to solve.
It is so flexible that it became a problem
What do you like best about the product?
Speed and flexibility are interesting points. There is no need to create collections to start storing data, and you can have very deep structures with the ability to query in the inner structures.
What do you dislike about the product?
Now flexibility becomes a problem. If you don't properly validate the input you want to store, you will end up with a big amount of fields that are useless and confusing. Also, the same field in different rows can be null, string, numeric, boolean, object, etc.
What problems is the product solving and how is that benefiting you?
It was helpful to store data quickly and deliver features "fast", but now it is problematic because of the tech-debt due to invalidated input and complex JSONs.
mongodb usage expierence
What do you like best about the product?
It is free to use, well handled, easy to execute queries on , and has documentation that is widely accessible for every developer to look into and get help. it is also fast and well managed
What do you dislike about the product?
Nothing much other than the known downsides of using mongodb, like the high memory usage, duplicate data, and dependency on indexes; however, in developing small to medium-sized projects, this has not been an issue for me.
What problems is the product solving and how is that benefiting you?
mongodb is solving not having to build complex relational databases for small projects that do not need that complexity, the flexibility and high performance of mongodb are perfect for such jobs
MongoDB best NoSQL Database in existence
What do you like best about the product?
MongoDB is the best NoSQL Database which provides to store your data in the form of documents, it's open-source and free to use. Supports all operating systems.
What do you dislike about the product?
There one thing which I dislike about MongoDB is that it doesn't provide any UI by default, you have to install MongoDB Compass separately.
What problems is the product solving and how is that benefiting you?
Since MongoDB is NoSQL database, it is very fast in case of large number of data compared to traditional SQL databases.
Best All Purpose Database
What do you like best about the product?
Likes everything about it. Documents, Schema Agnostic, Query Language, Powerful Schema design Patterns, Transactions, Change-Streams , so full packed with feature you can not imagine with any other database present today
What do you dislike about the product?
I don't dislike it. I love it. It's so flexible that people often misuse it and think MongoDB is wrong, but it's a double edge sword. It would help if you were very careful while using it.
What problems is the product solving and how is that benefiting you?
It's the central database in 99 percent of our projects.
Best-in-class availability, scalability, easy-to-understand query language, simple concepts, robust, performance
Best-in-class availability, scalability, easy-to-understand query language, simple concepts, robust, performance
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