MongoDB Atlas Reviews

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 the solution for our document databases, cloud databases, e-commerce databases, and invoices.

The solution has a very intuitive user interface. It is very simple to use.

The product should introduce database mapping between SQL queries and document queries.

The product does not have ORM.

I have been using the solution for the last eight years.

I rate the solution’s stability a ten out of ten.

I rate the solution’s scalability a ten out of ten.

The initial setup was very straightforward.

Deployment can take anywhere between one month to six months.

The solution is fairly priced.

The product is cloud-based. Overall, I rate the product a nine out of ten.

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.

There are many scenarios that MongoDB can fit into, like where there is a fluid schema and no transaction management.

This solution is deployed on a cloud and AWS is the provider.

It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas. They do all the replication, and all that is probably happening behind the scenes. The pricing isn't that high compared to any of the IBM products.

The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet.

There's no straight answer for any of the database providers in that particular space. We don't have a failover, but when it comes to the RPA recovery point objective and RTO, we have to test it.

Atlas should think about a provision in the form of a commitment. You can ask for a longer commitment. Database is one thing. Once I build an application, if it goes to production, it's going to be there for the next 10 years minimum. In that way, somebody's giving you a commitment for five years, so you can give them a huge discount. If somebody's giving a two year commitment, you can give them a better discount. 

I've been using this solution for about six months. 

It's stable.

I haven't used this solution long enough to gauge the scalability. 

We haven't had any issues so far.

It's straightforward and seamless. Setting up takes about 35 minutes, but it could be as little as 20 minutes. We never had a concern with installation. Maybe when you're doing a data migration, that could be a different story altogether.

In development, we have about 15 users. The number of users could go up to 100,000 people because it's an application that we're building. We're building the system for 100,000 concurrent users.

We have the possibility of growing every year on year, probably 30%. We are going to test it to see if we can host multiple tenants in this single DB and if it will be scalable.

We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive.

I would rate this solution 8 out of 10.

I would recommend this solution to those who want to start using it.

We use this solution for our NoSQL requirement. We store data, like JSON data, in MongoDB.

It's deployed on the cloud with AWS.

It's a good solution for NoSQL databases.

It would be better if there were more integration capabilities with other products.

I have been using this solution for six months.

It's stable.

It's scalable.

We would like to increase usage. Right now, we have 100 people using MongoDB, but in the future, our customers will be around one million when we open up the crypto exchange. 

Currently, we have a skilled DBA and don't need any consultancy. In the future, if there are more customers in all of our databases and the DBA is not enough to handle issues, then we will use a consultant for bottlenecks.

I have also used Oracle.

Setup is straightforward. Installing MongoDB takes only one day, but it will take you one week to customize MongoDB for all of the use cases.

For deployment and maintenance, we need two or three DBAs for both MongoDB and MariaDB.

We pay for a license.

I would rate this solution 9 out of 10.

I would recommend MongoDB Atlas for those who want to start using it. 

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.

It has a good easy to use gui and the ability to do most of the management operations under automation

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. 

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.

I have been using the solution for four years.

The solution is very stable.

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.

The technical support team is skilled, prepared, and really helpful.

Positive

The initial setup is straightforward. Only one person is required for deployment.

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.

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.

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