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.
MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
511 reviews
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External reviews are not included in the AWS star rating for the product.
Great NoSQL DB with few limitations
What do you like best about the product?
MongoDB is great NoSQL document db that offers features horizontal scaling, schema less architecture, good third party support
What do you dislike about the product?
Limited support of ACID transactions and complixity of sharding
What problems is the product solving and how is that benefiting you?
We are using MongoDB to track and report on the employees activity. This involves aggregation queries, geospatial queries and stored scripts to support an APIs for in house web application.
Serves as a general-purpose database and provide IoT integration
What is our primary use case?
How has it helped my organization?
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.
What is most valuable?
MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases.
What needs improvement?
One area for enhancement is containerization. They could explore ways to facilitate deploying MongoDB containers within the platform.
For how long have I used the solution?
I have been using MongoDB Atlas for five years.
What do I think about the stability of the solution?
I rate the solution’s stability a nine out of ten.
What do I think about the scalability of the solution?
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.
How are customer service and support?
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.
How was the initial setup?
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.
What's my experience with pricing, setup cost, and licensing?
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.
What other advice do I have?
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.
MongoDB Made Easy: Simplifying Data Management for Everyone
What do you like best about the product?
MongoDB makes it simple to work with data, like storing and finding data quickly.
It can handle large volume of data without slowing down.
It is easy to use even if you are not expert.
It is very secure so the only right people can access the data.
It is easy to integrate in code.
The schemaless architecture makes it very useful for raw and especially json data.
It can handle large volume of data without slowing down.
It is easy to use even if you are not expert.
It is very secure so the only right people can access the data.
It is easy to integrate in code.
The schemaless architecture makes it very useful for raw and especially json data.
What do you dislike about the product?
Using mongoDB might cost high especially for bigger projects with lost of features.
Sometimes it might have bugs or issues that need fixing.
Sometimes it might have bugs or issues that need fixing.
What problems is the product solving and how is that benefiting you?
MongoDB is ideal for storing and retrieving unstructured data efficiently, supporting diverse data types and formats.
It's well-suited for handling large volumes of unstructured data, ensuring smooth performance and scalability.
It's well-suited for handling large volumes of unstructured data, ensuring smooth performance and scalability.
Offers the ability to scale across zones and define multiple nodes but there is a learning curve
What is our primary use case?
We may use it as an application database. The application stores the data as documents in the database, which is a preference for our company because it’s a Document DB and a NoSQL database, which are preferred over traditional relational databases.
How has it helped my organization?
MongoDB has wrapped up the whole development lifecycle. MongoDB has multiple built-in tools such as MongoDB Shell, Compass, and other tools. It helps the developers to use that specific tool efficiently. Users do not have to worry about finding the tools and then installing and using that specific tool to communicate with their database cluster. MongoDB has a built-in option using MongoDB Shell or Compass for that purpose.
So, it has positively impacted the development speed and productivity.
What is most valuable?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple features, including built-in backup, all under the same roof, without the need for external tools.
So, the scalability feature supported our data growth overall. The growth of the database depends on the application side. The database aids in scaling when the application requires more storage.
It’s configured to scale automatically across zones and regions, ensuring that performance doesn’t degrade even when scaling down.
What needs improvement?
The scalability aspect is quite difficult to implement. It should be much easier for the end user. You cannot use less than two nodes; you have to use at least two nodes, and they categorize their nodes, like m5, m10, and m20, according to their resource practices, which are also a bit expensive.
The end-user has to learn a bit about it. MongoDB has great content on its site. They call it MongoDB University. They actually have great content for that. Anyone can learn it, but one has to study it before diving into it or starting to use it.
For how long have I used the solution?
I have been using MongoDB Atlas for almost three years.
What do I think about the scalability of the solution?
The scalability is good. In my team, almost the whole development team is using it. So, there are around five end users.
How are customer service and support?
I contacted customer service and support for multiple purposes while configuring. The support is quite efficient, and the guidance is quite good. Initially, when I was working on it, I had to communicate with the support team.
So, I had a good experience with the support.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is not too difficult but can be somewhat tricky.
It is tricky mainly in terms of configuration, especially if it's not internet-accessible, configuring it to stay within the same data center while allowing developers access without network barriers.
What about the implementation team?
What was our ROI?
It is worth my money at the end of the day.
What's my experience with pricing, setup cost, and licensing?
The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones.
What other advice do I have?
If you want to go with NoSQL, I would suggest using MongoDB.
If you are saving documents and prefer AWS services, AWS also has their DynamoDB for that purpose. I would suggest using AWS service if all of your services are already on AWS.
Overall, I would rate it a seven out of ten.
Experience with MongoDB
What do you like best about the product?
I liked the rich query language model of MongoDB. It's easy to setup and establish connections with MongoDB clusters. The community support provided is awesome.
It is currently the easest and most flexible NoSQL database in the market. We worked intensively on a large set of Collections for our clients.
It is currently the easest and most flexible NoSQL database in the market. We worked intensively on a large set of Collections for our clients.
What do you dislike about the product?
The only thing we faced was to handle large datasets and clusters. Maintaining consistency is a bit challenging for us. Hoping to get more ACID complaint-friendly features in MongoDB.
What problems is the product solving and how is that benefiting you?
MongoDB helped us build a large collection of client data that would have been hard to manage with SQL database and managing such large and querying was very easy and cost-effective.
Quick DB
What do you like best about the product?
Ability to handle growing data volume, evolving data models.
What do you dislike about the product?
Learning ios required to make full use of the product.
What problems is the product solving and how is that benefiting you?
Ingest volumes from any data model.
Very hard to use
I subscribe, then, I don't know where to manage the database or see the URI again... How this is integrated with AWS dashboard?
A stable solution with Autoscaling feature with easy setup
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
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?
The product is pretty stable.
What do I think about the scalability of the solution?
The solution is scalable. Autoscaling supports it.
50 users are using this solution
How are customer service and support?
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.
How was the initial setup?
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.
What's my experience with pricing, setup cost, and licensing?
The product has a yearly subscription.
What other advice do I have?
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.
Truly scalable database for Read heavy and write system.
What do you like best about the product?
The low latency and scalability of database with increasing work load. We migrated one of our system from firestore to mongoDB and loving the performance which we are getting.
What do you dislike about the product?
sometime feels like perfect database for true scale but we need to carefully manage index and add proper index to make query efficient.
What problems is the product solving and how is that benefiting you?
I our use case we use to store every datapoint for user details like location and ip in firestore. We are suffering from costing and latency problem as we are growing. We now shifted to mango db initial their is high resource usage by mongoDB but as we tune configurations and added indexing we no moving having resource usage problem.
Pros of MongoDB for Lead Engineers
What do you like best about the product?
MongoDB's document-oriented schema is flexible and adaptable, allowing you to easily model complex data structures without being constrained by a rigid relational schema. MongoDB benefits from a large and active community, providing extensive documentation, tutorials, and libraries in various languages. cloud-native features, like Atlas, simplify deployment and management on various cloud platforms, offering scalability and flexibility without managing infrastructure. Easy to use and integrate with spring boot and other platforms.
Ease of implementation with other DB for DB per service arch.
Ease of implementation with other DB for DB per service arch.
What do you dislike about the product?
Limited Join Capability, Data Consistency Guarantees, Potential Data Integrity Issues, Troubleshooting performance issues or data inconsistencies in MongoDB can be more involved compared to relational databases due to its distributed nature and lack of ACID guarantees. Customer Support is most of the time not available.
What problems is the product solving and how is that benefiting you?
flexibility, scalability, and developer-friendly features make it attractive for modern applications.
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