MongoDB Atlas Reviews

MongoDB can be used for many things. It's a document store, so you can add whatever collection you need to it. We use it for an application that we've built.

My team is not using it at this time, although other teams in the company may be.

The cloud-based nature of this solution makes it flexible and scalable. I like the fact that you can make the deployment bigger, as needed.

Not having to maintain it yourself is good.

Querying a dataset is not very intuitive, so I think that it can be improved.

I have been using MongoDB Atlas for approximately two years, although I am not using it for my current project.

This is a stable product and we plan to continue using it.

This is a very scalable product. There are approximately five users.

I have not had experience with technical support.

Prior to this solution, we have used PostgreSQL, which is a database. As a document store, MongoDB is fine.

You don't have to maintain it yourself.

We pay for licensing on a monthly basis and we are fine with the cost.

I would rate this solution an eight out of ten.

It drives a good portion of our client-facing software utilities.

• Scalability is its most valuable feature, as it is pretty simple.
• The maintenance is fairly easy. 
  
• It was easy and quick to market in terms of getting the application deployed rapidly.

The cost needs improvement.

The stability is fine.

We use technical support quite frequently. The tech support experiences that I have heard anecdotally have been fine. I haven't heard about any issues of getting problems resolved.

We are mostly using technical support because of changes in deployments and learning how to configure new things. While a lot of the work is done in-house, it is more about extending the capabilities of our internal team.

Pricing could always be better.

I am sure that they evaluated other products, but it's been in deployment since I have been with the company. Therefore, I don't know if they looked at other types of databases at that time.

It is a great product. It works fine, so we recommend it. We are continuing to use and expand it.

Right now, MongoDB is deployed for a very specific use case. However, it is something that we always consider when we are looking to migrate away from traditional RDBMS, like Oracle and SQL Server, then MongoDB is on the top of that list. We see if it is capable of supporting the app as written.

I was not involved in the implementation or configuration.

The product is hosted on AWS.

It is one of the main database back-ends for one of our products in the company.

• It has a flexible integration with our easy API. 
• It has a good, easy integration with other tools that we use for this product. 

• 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.

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.

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.

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.

Our backups required some configuration.

I did not evaluate the product because I am on the operations side and the design was already done.

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.

We use RADIUS, but I don't know if it is integrated with this product. We also use Python on the back-end, which is integrated with MongoDB.

We use this solution for database-managed services.

The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future.

I have been using the solution for approximately two years.

The solution is very stable.

When we use managed service it provides scalability automatically, it is a good option for us.

We purchased the license for the solution to allow us to use the support and it was very high-level support we received. We had technicians advising us for the migration and it was really helpful.

The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.

The implementation was done by our two-person DevOps team and it took approximately one week.

The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments.

I rate MongoDB Atlas a ten out of ten.

I used it for testing.

It provided time saving for me. It provided an easy way to create validation against the database.

As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it.

The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work. It may have been improved by now.

Except for the UI's stability, the product's overall stability is fine.

The scalability is good.

We did not use the technical support.

Right now, I'm using DynamoDB, and I preferred using MongoDB more.

I would recommend MongoDB. I would like to bring in MongoDB at my new company, though I doubt it will happen.

• High availability
• Resource recovery

It brought a lot of confidence to our team.

• High availability
• Zero maintenance, to double up things.

The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable.

The reliability is good.

It is reliable. We have a small environment right now.

The integration and configuration of this product in our AWS environment were easy and straightforward.

AWS works well with this application, but that is the only thing we have tested. We are happy with it.

Purchasing through the AWS Marketplace was easy and seamless. We chose the AWS Marketplace because it is a brand name and a popular product.

It is too expensive. They need to work on this.

I also evaluated the open source version of this same product, but chose the AWS version for more reliability and enterprise support.

I would recommend the product.

I have only used the AWS version.

We use MongoDB Atlas for our MongoDB deployments.

The most valuable feature is schemaless architecture and its rich query support.

Masterless architecture for linear scale.

I've been using MongoDB Atlas for about two years.

MongoDB Atlas is a reliable and stable solution.

From the scalability point of view, when we shard the database it creates a replica set of each shard and that will increase the cost. Also, It will be a pain if we just start with Atlas and then moved to manage our own databases. Basically to support three shards you have to maintain nine instances.

We're on the cloud so the initial setup was straightforward. 

I would recommend MongoDB Atlas to potential users. You can bootstrap very quickly and It doesn't constrain you in any way. 

On a scale from one to ten, I would give MongoDB Atlas a nine.