MongoDB Atlas Reviews

We work with millions of rows of data and we use MongoDB Atlas for data.

The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received.

We have a data repository that is floating and MongoDB Atlas allows many data from different sources without the need to convert it.

The solution allows for encryption, quick processing, self-manages, and indexes on the fly.

The price of the solution should be reduced.

I have used MongoDB Atlas within the last 12 months.

The solution is incredibly stable. The solution keeps a copy of the data in different locations around the world. It is up 24 hours a day seven days a week.

The scalability of the solution could be made simpler, it can be technical. It can be difficult to create applications and proof of concepts. 

The support is fine. You rarely connect with the support because of a problem. They are called more often if find out how to do some operations.

The initial setup of MongoDB Atlas is simple. You create the infrastructure and the solution read the data and organizes it.

For large projects, MongoDB Atlas has proven an ROI.

The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price.

I would advise others to use the free component of MongoDB Atlas to see if the solution can be maintained in their organization.

I rate MongoDB Atlas a nine out of ten.

I used this Solution to create a web application with a team using HTML, CSS, JavaScript, React.js, Express, and Node.js. One of these Web applications is Bconnected. 

It also provides a fully managed, scalable, and flexible database environment. MongoDB Atlas is also well-suited for real-time analytics use cases, such as real-time monitoring of social media feeds. With its ability to support high-throughput read and write operations, This solution can help organizations perform real-time analytics on large volumes of data.

This solution is very helpful due to its ease of use. This solution provides a user-friendly interface and easy-to-use tools, which can help reduce the learning curve for database management. The benefits of this are to help the organization to save time and resources on training and enable them to focus on their core business activities. 

The other thing that would improve every organization is scalability. It provides organizations with the ability to easily scale their database as their needs change. This means that organizations can quickly add or remove resources based on demand, which can help reduce costs and improve performance.

The security is great. This solution provides a range of advanced security features, including encryption at rest and transit, access control, and network isolation. This can help organizations to protect their sensitive data and comply with the industry.

The scalability is excellent. This solution provides the organization with the ability to easily scale its database up or down based on its changing needs. This can help the organization save costs by only paying for the resources they need and avoid overprovisioning.        

We need improved query performance. The query performance of MongoDB Atlas can be slow, particularly when working with large datasets. Improvements in query performance could enhance the overall user experience.

We would like integration with more third-party tools and services and more integration options with third-party tools and services to enhance their workflows. The most specific areas for improvement and additional features that would be most valuable will depend on the needs and use cases of the organizations using MongoDB Atlas

I have been using it for around one year.

It's designed to help users monitor and manage the health and stability of their database. It's also a reliable and stable solution that is well-suited for mission-critical applications and high-availability environments.

Its ability to scale horizontally means that it can distribute data and processing across multiple servers. This allows for greater scalability and resilience, as it minimizes the impact of hardware failures and allows for more efficient use of resources.

I had a little experience with a web-based database (PhpMyAdmin). It's different from this solution, which provides a graphical user interface for managing My SQL Database. If we compare them, this solution is a cloud-based NoSQL database service designed for use with MongoDB, while PhpMyAmin is a Web-based database management tool designed for the MySQL database.

This solution provides extensive documentation and support resources to help users navigate the setup process and ensure that they are able to get the most out of the platform.

The price of this solution is competitive compared to the other cloud-based database services. There is also a free tier available that provides up to 512 MB of storage and allows users to experiment with the service before committing to a paid plan.

For licensing,  if we use it to build an application, we may be required to release the source code of our application under SSPL. The SSPL is a copyleft license that requires users who offer this solution as a service to release the source code of their application under the same license.

I did not evaluate other options. 

I highly recommend every developer use it.

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 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.

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.

The initial configuration could be a bit easier.

I have been using this solution for a couple of years. 

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. 

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.

MongoDB offers free support online, and they seem to be doing a good job overall.

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.

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.

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.

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.

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.

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.

MongoDB Atlas is a schema-less database.

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.

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.

I have been using MongoDB Atlas for two years.

MongoDB Atlas is a stable solution.

MongoDB Atlas is a scalable solution. Around ten people were working with the solution in my organization.

The solution's initial setup is straightforward.

MongoDB Atlas provides good value for money. MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage.

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.

I have used MongoDB Atlas for my personal side projects as a database, and I have also used it as an infrastructure-as-code (IAC). In my apps, I have used the API to manage and create new databases programmatically. At my workplace, we use MongoDB Atlas for database management, access management, and configuration using Microsoft.

The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases. As a SaaS product, we don't need to worry about the infrastructure for on-premises servers or maintaining them. Additionally, MongoDB Atlas allows us to connect to our cloud, whether it's Azure, GCP, or AWS. This means we can manage these resources within our own cloud environment, change security rules, and integrate with other cloud resources as needed.

There are more than one hundred users in my organization.

I find the cluster demonstration and APIs to be the most valuable features of MongoDB Atlas. The APIs allow me to programmatically make changes to the environment. Additionally, the interface is user-friendly and easy to navigate. Another feature that I find useful is the separation of projects, which allows for different projects to have their own settings.

One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user. MongoDB Atlas should provide a way to export this action programmatically, so that we can easily integrate it with our IAC tools and deploy it afterwards.

I have been working with MongoDB for around six years now, and have been using MongoDB Atlas since it was launched. I believe it's been about two years since I started using Atlas, but I can't recall the exact time.

It is a very stable solution.

MongoDB Atlas is scalable and it offers several features for a DB as a service.

We have used Azure SQL in the past, but it's not the main use in projects in the organization. We have also used MongoDB Atlas for their project, and Oracle DB is used in the organization as well.

The initial setup was very easy. We didn’t need any expert to set up the solution.

For my personal projects, I mainly use the UI interface of MongoDB Atlas, as well as the APIs. I write code that connects to the APIs and makes changes to the environment, such as creating new databases and managing security settings. In an enterprise setting, we typically have an administrator who uses the user interface to manage the environment, so there's not as much need for a specific deployment process.

There is some ROI because we don't need to have a separate operations team to maintain servers physically. MongoDB Atlas eliminates the need to worry about physical things like energy and space, as they are managed by the cloud provider.

It has a fair price.

I prefer GCP because it's free and has great features related to artificial intelligence and the network is also very good. However, Azure has the best interface that is easy to use and deploy. It has ERM templates, which are JSON templates used to define resources that can be deployed, making it easier to work with. In contrast, GCP lacks such templates and some APIs are not easy to use.

I've had a very positive experience using MongoDB Atlas so far. It's easy to use, and scalable, and the cloud-based option is very convenient. Overall, I would definitely recommend it to others looking for a database solution.

I would advise learning some SQL concepts to use MongoDB Atlas correctly. MongoDB Atlas is a cloud-based platform that provides a managed database service for MongoDB, a NoSQL database. Additionally, it is important to have network knowledge, specifically for administrators.

Overall, I would rate it a ten out of ten.

We primarily utilize MongoDB Atlas for tasks such as IoT integration. Additionally, it serves as a general-purpose database that aggregates analytics data before transferring it to a data lake. Its versatility allows for various applications, providing flexibility and ensuring the availability of essential data across different systems. While it is used in diverse contexts, many use it for IoT-related initiatives.

We prefer MongoDB Atlas over SQL because most of the data generated with IoT devices is unstructured. This gives you flexibility; you don't have to define specific schemas all the time, and sometimes, the structure of the object varies.

It improves data management along the same lines. MongoDB Atlas supports structured data with IoT projects.

MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases.

One area for enhancement is containerization. They could explore ways to facilitate deploying MongoDB containers within the platform.

I have been using MongoDB Atlas for five years.

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

Two people use this solution because they work with sensors and other variations of IoT.
I rate the solution’s scalability a nine out of ten.

The tool provides a forum where users can engage with experts. These experts offer assistance tailored to your specific needs, whether you're focused on product-centric queries or diving deep into particular use cases. Ultimately, the support you receive depends on your requirements and the extent of your experience with the platform.

The initial setup of MongoDB Atlas is straightforward. The user-friendly UI guides you through the setup process seamlessly. It would be beneficial if they could maintain this simplicity across different operating systems. Additionally, if they can streamline the process to easily deploy with containers, it would greatly enhance user experience and make life easier.

MongoDB Atlas offers various options based on your needs. It can accommodate both, whether you require the enterprise version with advanced features or prefer to start with an open trial version.

Security is primarily organized around organizational principles, allowing you to customize and adjust each tool according to your specific security policies. I recommend the product. Every product serves a purpose as long as it addresses the right problem. MongoDB Atlas has proven particularly effective for applications such as analytics and IoT, making it a recommended choice for those use cases.

Overall, I rate the solution a nine out of ten.

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 store all our data in MongoDB. Our frontend application is .NET, our backend is .NET, and the database is MongoDB.

We have two products running on MongoDB: a financial expense management solution and a sustainability product.

It can store data as a flat file, similar to a file system. It's called Atlas GridFS and it works very well.

MongoDB is a very good database. The Community Edition is free, which is cost-effective for development.

The API support is excellent for integration.

From an improvement standpoint, MongoDB can improve security.

There are some challenges from a security point of view. Since the file can be easily accessed, there should be more security features. The data should be encrypted in some form to prevent unauthorized access.

We've been using MongoDB for three to four years.

I would rate the stability a nine out of ten.

We haven't seen high volumes of data yet. Our solution is for expense management, not a full ERP solution. So far, the system has been stable with the current number of users.

It should be scalable and easily work with other databases like SQL or Oracle. We shouldn't have trouble converting the data.

I would rate the scalability a nine out of ten. Some security features are still under development.

MongoDB isn't for our internal users; it's for our customers. Depending on the organization, it can go up to ten thousand or even a hundred thousand users. We have a lot of customers using our applications built on MongoDB.

We are a young company, only five years old. We recently started this product, but we know that around a hundred people are using it in one of our products for web and mobile.

We have a very strong internal technical team that manages everything. We haven't needed any support from MongoDB because our team is proficient in using it.

My team only recommended MongoDB. We haven't worked with other databases for our current projects. I have worked with SQL Server and Oracle in the past as an SAP consultant, but those were for ERP systems, not application development.

MongoDB's setup is very easy. We plan to only use MongoDB for our future database needs.

It works very well with the .NET and Angular platforms due to the flat file support. So, we went with that option.

The main benefits include cost savings and speed. The application runs fast, and accessing data is quick.

ROI is very good. 

It's very easy to manage for our technical data analysts.

Overall, I would rate the solution a nine out of ten. I recommend using MongoDB because it's free for development, scalable, and user-friendly for connecting with frontend and backend technologies like Angular and .NET.