MongoDB Atlas Reviews

We restore our golden data from various sources and then push it to MongoDB. We make our CDP from MongoDB, which serves as a device-centric system.

There is a built-in feature called Autoscaling In MongoDB Atlas. This feature automatically adjusts the configuration of MongoDB based on the volume of users we ingest daily. Autoscaling dynamically scales the resources to accommodate the load when our data flow increases.

The real-time data visible within MongoDB Atlas is not accurate. If they can improve the UI that monitors real-time data. It's more impressive and more attractive. It could be more user-friendly.

I have been using MongoDB Atlas for two years.

The product is pretty stable.

The solution is scalable. Autoscaling supports it.

50 users are using this solution

Whenever we have doubts during configuration, we reach out for assistance. We must upgrade certain parameters in our MongoDB setup, prompting us to contact their support team. They resolve such issues within four to five hours.

The initial setup is not very complex. It is easy to use. It's easy to deploy on MongoDB. We push from GitHub. From there, we specify where the data is restored in MongoDB. We continue to connect. It puts the data and delivers it to Argo City.

The product has a yearly subscription.

We have assigned DevOps for security.

The overview and monitoring part will address this issue, and then we will use it to observe any increasing traffic on our website. We also monitor the rising number of connections due to this traffic. It's quite easy to oversee everything in one place. However, the UI isn't particularly user-friendly.

I've also used it in my previous company and found it handy and easy to configure, including easy capabilities.

We are establishing SLAs that are directly tied to MongoDB. All are interconnected with MongoDB. If MongoDB experiences downtime or RAM or CPU usage spikes significantly, users may encounter difficulties logging in. This reliance on MongoDB can pose challenges for user accessibility, particularly when considering the conferencing tools we use.

Overall, I rate the solution an eight out of ten.

It's good for performance and stability if you need a non-SQL database to store data.

We use it as a database for some of our microservices. We use it as a database for a few of our microservices.

The stability and performance are great. The high availability feature is great.

Moreover, I am happy with the automated backup and restore functionality.

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.

I have experience with this solution. I've been with this product for a couple of years.

It is a stable solution. I would rate the stability a nine out of ten.

It is a scalable product, but only if you use the paid features. And if you enable sharded cluster functionality, it scales very well.

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.

We did it in-house.

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.

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 MongoDB Atlas for all of our payment transaction processing.

The are many advantages that we have experienced while utilizing the MongoDB Atlas. By working with this tool, our teams have been able to progress quickly without the need to involve any internal provisioning departments. This empowers application developers to independently manage the scaling up and down of the database clusters, allowing the database to be treated as an integral component of the application itself. As a result, this has significantly streamlined the development process and increased efficiency.

MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features.

A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective.

I have been using MongoDB Atlas for approximately five years.

My overall impression of the stability of the MongoDB Atlas is incredibly positive. From our experience, it has proven to be highly reliable and efficient in its operation. The fact that it has built-in features such as auto-scaling and automatic updates enhances its stability even further. Additionally, its performance management capabilities, particularly in regard to indexing, are truly impressive. This level of stability has allowed us to focus on other tasks, as we do not have to frequently return to make adjustments or resolve issues with the database.

The scalability of the solution is amazing. We plan to increase our usage.

There have been instances when we have needed to reach out to the technical support team for assistance. In order to ensure the highest level of security and connectivity, we have implemented measures, such as utilizing Google Private Connect and engaging with MongoDB Atlas. These actions were necessary to effectively resolve any questions or issues that arose.

The technical support team at MongoDB Atlas is incredibly friendly and accommodating. They make you feel like more than just a client and their expertise in technology is exceptional. Unfortunately, there has been some fluctuation within the team and it is rare that we are able to speak with the same person on multiple occasions. However, despite this, they consistently go above and beyond in providing assistance and resolving any issues.

I rate the support from MongoDB Atlas a seven out of ten.

Neutral

I have not used another solution similar to MongoDB Atlas.

The initial setup process for this specific item is incredibly straightforward and simple, requiring only a few clicks of buttons to initiate its deployment. This makes it incredibly user-friendly, as even individuals with limited technical knowledge or expertise are able to complete the setup with ease. Its design is foolproof, which is a testament to its efficiency and accessibility.

The deployment process consisted of several important steps. Firstly, we logged into the MongoDB Atlas database to access the cluster that we desired to deploy. We specified the size we wanted and then initiated the deployment process. After completion, the solution was up and running and accessible through the internet.

The deployment takes only a few minutes.

The solution was internally managed and deployed.

The return on investment comes from the engineering experience. That's been a good return on investment.

The price of MongoDB Atlas is highly affordable. 

When comparing the costs of managing the data internally versus utilizing an external solution, it is significantly more cost-effective to choose the latter option. The external solution saves on the resources and expertise needed to manage the data in-house, making it a more economical choice.

The standard license that we have is a basic agreement that covers most of the typical usage requirements. However, we understand that each client has different needs and therefore, we are open to negotiating discounts and custom usage agreements. As far as fees go, we do not have any additional charges other than the standard license. On rare occasions, they might offer training or consultancy services which might incur additional charges, but these are typically communicated beforehand and agreed upon.

Before making the ultimate decision to select MongoDB Atlas as our database platform, we thoroughly evaluated several other options that were available to us. We had access to the Cassandra database system and the Relational Database Service (RDS), as well as our existing traditional database systems such as Oracle. All of these options were carefully examined and evaluated to ensure that we were making the best decision for our needs.

The choice to utilize the MongoDB Atlas was made due to the complexity and richness of the data sets that needed to be stored. The team evaluated other options, including Amazon's DynamoDB, but found that MongoDB Atlas was seamless and was a better fit for their needs. The benefits of using MongoDB Atlas include the ability to handle complex data without the constraint of a strict schema. There have not been any drawbacks or negative experiences in using this solution, as the team has consistently found it to be effective and efficient.

I use the solution daily.

My advice to others is for them to use the solution and stop doing everything themselves.

I rate MongoDB Atlas a nine out of ten.

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.

We use it to power a software-as-a-service cloud solution to book meeting rooms, parking spaces, and workspaces. We have multiple clients using this solution. A Node.js backend is also being used along with Mongoose, and it is running on Cloud Run. Then there is a VPC connection to MongoDB Atlas.

The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is easily accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database.

When I edit a document from the web-based Explorer, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connector for Google Looker Studio.

I have been using it for three years.

The interface could be more reliable. It is not a stable product because sometimes we see the explorer being down or unable to log data and the interface turning to the five hundred server error. However, it's ninety-five percent stable. I don't always trust it, but most of the time, I do.

It scales well. I can only hope that it would be possible to configure and that it could scale down quicker. Now it takes twenty-four hours to scale down.

We have 15 developers who regularly use the solution.

The experience with the first-level support was a bit annoying as they took a lot of hours to figure out the issue, even though it was clear what needed to be corrected. But the professional support team on the paid support plan gave a clear and detailed response.

Positive

We've used SQL in the past. While building our product, and our architecture, MongoDB was very simple and a better choice. We chose to switch to MongoDB Atlas specifically because we did not want to manage our deployment database on our own. We chose to use MongoDB Atlas because it was the best choice in the market for managing MongoDB databases. It has a proper interface, and it's easy to get started. Its ability to run on Google Cloud Platform is one of the key sectors as the rest of our efforts run on it.

The initial setup was super easy. It took 15 minutes to setup.

I advise others to use the solution. I would tell others to use the serverless option, but not for people near Frankfurt, as the serverless interface is unavailable for Google Cloud in Frankfurt.

I would give it an eight out of ten as it's easy to use and quick to start.

We're developing a product using multi-tenant architecture, but we don't have any predefined structure, so we need to use MongoDB Atlas to support predefined architecture.

Being schemaless is what I like best about MongoDB Atlas.

An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup.

I want a query feature added to MongoDB Atlas, or if it's available, improve on it. My team needs manual coding for the pipelines, for example, creating and executing pipelines. If the query feature of MongoDB Atlas has some improvement, then the process for pipeline creation and execution would be better.

I've been using MongoDB Atlas for around three years.

MongoDB Atlas is a stable solution. A product related to it, the MongoDB Atlas Data Lake, on the other hand, could be more stable.

My company contacted the MongoDB Atlas Australian support team once, and I'm rating the team eight out of ten.

Positive

We decided to go with MongoDB Atlas because you also get MongoDB Realm, a product that lets you sync data with mobile devices.

MongoDB Atlas has an easy setup.

I didn't deploy the solution because another senior took care of the deployment.

I'm not familiar with the cost of MongoDB Atlas.

I'm using MongoDB Atlas version 4.2.

The solution is deployed on the MongoDB cloud.

Around four people, mainly developers and techs, use MongoDB Atlas within the company.

I recommend MongoDB Atlas to others because of the support my company gets, apart from the product being schemaless. MongoDB Atlas also has other features, and you can take advantage of MongoDB Realm, so it's like getting more than one product.

My rating for MongoDB Atlas is eight out of ten.

My company is a MongoDB Atlas customer.