MongoDB Atlas Reviews

We use it for hosting data on the cloud.

It enables us to get work done quickly and get to our data. It benefits us by providing performance.

• As a user, it is very easy to use. There is nothing complicated.
• We can write queries and go through it very quickly; our queries are quicker with it. 
• Many tools are there. Other companies are providing many tools for getting to your MongoDB.

The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging. However, it has been improving.

I would like them to make the product easier to use.

We are happy right now with stability unless something goes wrong down the line. In that case, you have to bite the bullet.

In terms of workloads, we put 60 to 80 percent on it.

So far, so good. However, we have had issues with our VPC, and how we have stored on S3 and our instances that we have with MongoDB. We are learning as we are building more capacity.

Our environment is utility customers, which is millions of meters, and each one has their own instance. We obtain that data for every 15 minutes in a big city environment, which is why performance is very important.

The technical support is good. We have received very good feedback.

The integration and configuration were pretty easy. We loved it. Otherwise, we would have changed databases.

We have definitely seen ROI.

The purchasing process through the AWS Marketplace was very good.

I was involved later on in the evaluation process when we were looking to import and export data out of MongoDB. We looked at MySQL, but we wanted to be on the cloud instead of managing our data on MySQL.

I would recommend it. It is better than the legacy databases, and it is very good with the cloud.

We integrated it with TestRail and JIRA. Everything is on cloud. It integrates well, and we are happy with it.

The product is simple to use and enterprise-ready. It is also open-source. 

I rate the product's stability a nine out of ten. 

The tool's deployment is easy. We used Amazon EC2 Containers to deploy it. 

MongoDB Atlas is a convenient database that you need to start using. I rate it a nine out of ten.  

We use MongoDB Atlas to store the data of our users.

The product allows us to easily set up and store large amounts of unstructured data.

The product's data aggregation feature needs to work faster.

We have been using MongoDB Atlas for one year.

I rate the product's stability a nine out of ten. It is a good feature that is rarely seen in other relational databases.

I rate the platform's scalability a nine out of ten.

The initial setup process is easy.

It is an open-source platform.

If you have unstructured data in large amounts, MongoDB Atlas is a good product to opt for. It distributes the data on servers and gives quick access to it.

I rate it a nine out of ten.

I use MongoDB Atlas to take care of my company's clients who are in industries like healthcare systems, finance, and other such areas.

The solution is valuable since it works as an unstructured database.

I would like the solution to offer more integration capabilities since it is an area where the solution lacks.

I have been using MongoDB Atlas for a few months.

It is a stable solution. Stability-wise, I rate the solution a seven out of ten.

It is a scalable solution.

Around 30,000 to 40,000 of my company's customers use MongoDB Atlas.

I was not involved much with the technical support offered by MongoDB.

The initial setup of MongoDB Atlas is straightforward unless you don't have to deal with any database-related stuff.

I completed the setup phase of the solution in a week since I have a background in handling databases.

For the deployment phase of the solution to be successful, one needs to have a bit of cloud-based knowledge.

I did not get into the solution's licensing costs since that is taken care of by the customers who want to use the product.

I recommend the solution to those who plan to use it.

I rate the overall solution an eight out of ten.

I am impressed with the tool's integrations.

The tool's implementation should be made easier.

I have been working with the product for two years.

The solution is stable.

The tool is scalable. My company has more than 40 users for the solution.

We had mailed tech support whenever we encountered issues and they had responded to us.

The solution's deployment can be done in-house.

The tool is free since it's an open-source product.

I would rate the product an eight out of ten.

We use the solution to build applications online.

I would like to have better performance for user experience with the solution.

I have been using the solution for one and a half years.

The initial setup is straightforward.

I give the solution an eight out of ten.

We have eight to ten people using the solution in our organization.

I recommend the solution. There are no problems with MongoDB Atlas

We create a MongoDB database or clusters. Then, we connect it to the application in a normal simple way.

The dynamic structures are the most valuable. The SQL is fast but requires a different structure.

The speed when combining two documents is concerning. In SQL, there are Joins. You can define relationships between two tables and go for complicated structures, but you can't do that for MongoDB Atlas. You can have logical structures that do the same thing, but they are really slow compared to the Joins in SQL. Combining two separate documents within a database is not recommended because it affects performance. So if they can make it faster and more efficient, it would be amazing.

We have been using this solution for 15 months. I believe it is deployed on public cloud, AWS.

It is a stable solution. 

It is scalable, and they provide different options. We have about 20 people using the solution in our organization, and they are mostly developers.

The initial setup was straightforward.

I believe when it is deployed publicly, it is pretty cheap. But the costs are high if it is deployed on-premises or you're using a private database.

We decided to use MongoDB Atlas because we required some dynamic data structures. We never wanted to stick with a well-defined one. When there were questions about using well-defined ones, PostgreSQL turned out to be one of the choices, but we chose MongoDB Atlas.

I rate the solution an eight out of ten because it's a good product. It supports many functionalities, is easier to implement, and the only issue is speed. It also doesn't have a lot of features that could support Joins. So if they fix that, I could scale my rating as high as nine or ten. I would recommend the solution. It is very developer-friendly, and the learning curve is not that high.

We use it for all of our temporary data, anything which is not warehoused.

It works with AWS Lamda and EC2.

It is nice because our developers create tables whenever they need to sync data. There are allocations nor DBAs. It is just use it as you need it.

• Autoscaling
• No overhead
• No maintenance

We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered.

It is very stable. It has been running without issues.

We have about 2000 customers a day.

The pricing is good. We originally chose it over DynamoDB because of the pricing.

We also looked at DynamoDB from Amazon. However, it didn't have the features that we wanted from MongoDB.

We chose MongoDB based on its pricing and features.

I have been happy with the service. Everything is good. Though, nothing stands out to me as exceptional. 

I would encourage someone to look at DynamoDB, even though I am fine with MongoDB. If you are in a fully integrated into the AWS environment, you might want to stick with Amazon Web Services rather than a third-party.

We use it as a service, so we don't configure anything.