We use it in a cloud setup on Google Cloud Platform as part of a microservices-based cloud solution. These microservices communicate with messages, and one use case for MongoDB is storing specific messages we're interested in.
MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
510 reviews
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External reviews are not included in the AWS star rating for the product.
Offers performance, maintenance, and simplifies things by automating previously manual tasks
What is our primary use case?
How has it helped my organization?
MongoDB has supported our organization's need for scalable and flexible data storage.
We use it internally, where different teams manage different microservices. Sometimes, internal incidents arise, requiring teams to dedicate personnel to resolve and communicate with other teams.
With MongoDB, other teams can now access some of our data and investigate issues on their own, freeing up personnel for other tasks.
Moreover, this solution simplifies real-time data analytics or application development for our business.
It simplifies things by automating previously manual tasks. It acts as a self-service portal for our team, reducing manual work and enabling automation.
What is most valuable?
We're happy with the performance, maintenance, and especially the ease of use within Google Cloud.
Given our microservices architecture, it's like a large puzzle, and MongoDB feels like it fills the gaps we were facing. So, the global clusters feature has enhanced our application performance and user experience.
It helps us optimize team performance, which is valuable.
What needs improvement?
The initial configuration could be a bit easier.
For how long have I used the solution?
I have been using this solution for a couple of years.
What do I think about the stability of the solution?
We've experienced some issues, but most MongoDB issues are resolved quickly. The issues we face are mainly with other systems.
So, it is a stable solution.
What do I think about the scalability of the solution?
It is a scalable solution because we use quite a lot of data, and it handles it well.
It's a microservice solution, so each microservice runs on several pods, maybe eight. Each pod uses MongoDB and makes its own connections, so multiply by eight, maybe 100, so roughly a thousand users.
These are internal users, so we're fine with the current number.
How are customer service and support?
MongoDB offers free support online, and they seem to be doing a good job overall.
Which solution did I use previously and why did I switch?
We have used other databases as well, including Google Cloud, for the past two years on our current project. My company policy guides such decisions. Overall, the company is happy with MongoDB.
How was the initial setup?
The setup is automated through our partner using Terraform for provisioning, not just for MongoDB but for our whole infrastructure. We manage daily deployments using TerraForm, and MongoDB setup on Google Cloud is very smooth.
The deployment is very quick. For example, microservices using MongoDB start very quickly, possibly within a minute.
We haven't had major issues with deployment or configuration. Maybe initial configuration fine-tuning for performance can be time-consuming, but the initial effort pays off later with reduced maintenance needs.
Expertise in automation and deployment processes is helpful and worth learning within the team.
What about the implementation team?
We do it in-house. It's integrated with Google Cloud, GitHub, and GitLab actions. Everything is cloud-based and easy to work with. It's been continually improving over the years.
We don't use external consultants, as we have in-house expertise. It's a 100% cloud solution.
We don't have engineers dedicated to maintenance. It's part of our continuous integration and delivery environment, so there's not much manual intervention needed. Issues usually arise when deploying incorrectly and rolling back, but deployment itself is straightforward.
What was our ROI?
In some teams, companies, and projects, there might be two to three people dedicated to everything, which is a lot. If these skills to analyze productivity or cost saving can be automated, these people can teach others and do more valuable work. It's all win-win.
What's my experience with pricing, setup cost, and licensing?
The price is cheap enough. It is comparable and has average pricing. We have a long-term license.
The pricing is acceptable for enterprise tier.
What other advice do I have?
We haven't faced any major issues so I would rate this solution a nine out of ten.
In this project, it's more integrated than previous ones. The level of integration, automation, and evolution is impressive when used well. It's flawless, straightforward, and hassle-free.
Easy to scale and offers good performance and stability
What is our primary use case?
It's good for performance and stability if you need a non-SQL database to store data.
How has it helped my organization?
We use it as a database for some of our microservices. We use it as a database for a few of our microservices.
What is most valuable?
The stability and performance are great. The high availability feature is great.
Moreover, I am happy with the automated backup and restore functionality.
What needs improvement?
In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it.
The pricing could be improved.
For how long have I used the solution?
I have experience with this solution. I've been with this product for a couple of years.
What do I think about the stability of the solution?
It is a stable solution. I would rate the stability a nine out of ten.
What do I think about the scalability of the solution?
It is a scalable product, but only if you use the paid features. And if you enable sharded cluster functionality, it scales very well.
How was the initial setup?
The initial setup is very straightforward.
The ease of setting up and maintaining your database clusters with MongoDB depends on the features you need. If you only need basic functionality, setup can be simple. But for additional features like reliability and backups, it might require a more complex configuration.
What about the implementation team?
We did it in-house.
What other advice do I have?
Overall, I would rate the solution a nine out of ten. I would recommend using this product.
If you need a no-SQL database, then MongoDB is a good choice.
Very Good Non-Relational Database
What do you like best about the product?
I mostly liked the easiness of using MongoDB. We don't have to define table structure. We can add a new column in our data time as it is completely based on JSON.
What do you dislike about the product?
I don't have anything to dislike about MongoDB.
What problems is the product solving and how is that benefiting you?
I used MongoDB in a couple of my Java projects. I used it to store user login activity and logs.
Perfect NoSql database for High available Microservieces
What do you like best about the product?
NoSQL yet supports schema
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
What do you dislike about the product?
Lack of analytical stack
Complex sharding operation with manual balancing
Complex sharding operation with manual balancing
What problems is the product solving and how is that benefiting you?
Storing evolving schema database for our SaaS microservices.
A convenient database that is simple to use
What is most valuable?
The product is simple to use and enterprise-ready. It is also open-source.
What do I think about the stability of the solution?
I rate the product's stability a nine out of ten.
How was the initial setup?
The tool's deployment is easy. We used Amazon EC2 Containers to deploy it.
What other advice do I have?
MongoDB Atlas is a convenient database that you need to start using. I rate it a nine out of ten.
A performant NOSQL database
What do you like best about the product?
Flexible document base data models, easy to use and implement with various languages, large community for questions and tutorials, its query language and reliable in production applications
What do you dislike about the product?
has a learning curve if coming from sql based databases, things like joins, data integrity and schema validation are not available here. usually you know these drawbacks when you choose nosql
What problems is the product solving and how is that benefiting you?
Our main db is in mongo. We have our API service store and fetch our data from this. We have other services query on it for analytics and machine learning.
A schema-less database that is easy to use and provides good value for money
What is our primary use case?
MongoDB Atlas is a schema-less database.
What is most valuable?
MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for. MongoDB Atlas is very easy to use when you are familiar with MongoDB and how to write query functions. I would give the solution a nine out of ten for usability.
What needs improvement?
MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI. The solution should include a query builder that will help people who aren't developers get data.
For how long have I used the solution?
I have been using MongoDB Atlas for two years.
What do I think about the stability of the solution?
MongoDB Atlas is a stable solution.
What do I think about the scalability of the solution?
MongoDB Atlas is a scalable solution. Around ten people were working with the solution in my organization.
How was the initial setup?
The solution's initial setup is straightforward.
What's my experience with pricing, setup cost, and licensing?
MongoDB Atlas provides good value for money. MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage.
What other advice do I have?
MongoDB Atlas is a cloud-based solution. The solution's installation, setting up, and integration are relatively easy. MongoDB Atlas provides the functionalities it promises.
Users should focus on the technical design and figure out how they want the data, what data scheme they're aiming for, how to build properly, and how to design data properly. For everything else, they provide you with enough tools to understand what you're doing pretty much by yourself.
Overall, I rate MongoDB Atlas a nine out of ten.
Best NoSQL Database sofar
What do you like best about the product?
Easy to define schema and easy to use dashboard to configure and deploy your database.
What do you dislike about the product?
I personally don't dislike anything about mongodb.
What problems is the product solving and how is that benefiting you?
We were using mongodb to strore audit events for our application which has variable number of columns and way to much data, mongodb was best solution to cater that.
NO SQL at its finest
What do you like best about the product?
MongoDB has been my go-to NOSQL database for years in my daily usage. It has a lot of very good feature sets combined while not being complicated to use. It has a very good community and can be integrated with all tools, frameworks, and languages with ease. There is Mongoose which further makes its implementation very swift. It is a fast, versatile, well-maintained service.
What do you dislike about the product?
In my everyday use of MongoDB the only thing I find lacking is its ability to connect data. It's no relational sql database but querying should be made easier for users. In recent times it has moved more company-centric but that's fine as it has a very good self-hosting option.
What problems is the product solving and how is that benefiting you?
To a company of our usage, it's difficult to run and maintain traditional SQL databases that are far more complex than Mongo. We need a faster easy to use and integrated database and Mongo ticks all those boxes perfectly. Although it needed improvement to its offerings like a compass. Its atlas service is also so easy to plug and play with a lot of abilities up its sleeve.
Stores large amounts of unstructured data and has an easy setup process
What is our primary use case?
We use MongoDB Atlas to store the data of our users.
What is most valuable?
The product allows us to easily set up and store large amounts of unstructured data.
What needs improvement?
The product's data aggregation feature needs to work faster.
For how long have I used the solution?
We have been using MongoDB Atlas for one year.
What do I think about the stability of the solution?
I rate the product's stability a nine out of ten. It is a good feature that is rarely seen in other relational databases.
What do I think about the scalability of the solution?
I rate the platform's scalability a nine out of ten.
How was the initial setup?
The initial setup process is easy.
What's my experience with pricing, setup cost, and licensing?
It is an open-source platform.
What other advice do I have?
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.
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