Atlas Sound SD72W - speaker - SD72W - Speakers

By Dhiraj Verma - May 19, 2025

Ensures efficient team collaboration with quick deployment and easy integration

What is our primary use case? We are using MongoDB Atlas for our log storage, transactional log storage, and we are into CPaaS business, communication platform as a service. We are also using PostgresSQL in some of the applications, alongside MongoDB Atlas. What is most valuable? The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities. The security features of MongoDB Atlas support our organization very well. My company has seen financial benefits from using MongoDB Atlas because we are using open source. What needs improvement? There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB Atlas should support containerization. For how long have I used the solution? I have been using this product for the past 5 years. What was my experience with deployment of the solution? I find the installation process easy to deploy as it wasn't difficult to implement. What do I think about the stability of the solution? The stability of the product is very high, and I would rate it a nine out of ten for stability. What do I think about the scalability of the solution? It's very much scalable, and I would rate scalability a nine. How are customer service and support? For premium support, I would rate the support of MongoDB Atlas a nine. Premium support requires additional payment; otherwise, you can manage whatever you can yourself. Though I am currently not using support, I would rate it a nine. How would you rate customer service and support? Positive How was the initial setup? I personally took part in the installation process. I can deploy MongoDB Atlas in 2-3 hours. What about the implementation team? When we make changes, responsibilities are always distributed. It will be a team whenever a production deployment comes. What was our ROI? My company has seen financial benefits from using MongoDB Atlas through savings because we are using open source. Which other solutions did I evaluate? Postgres is another option that is available for us. I have considered alternatives for MongoDB Atlas. What other advice do I have? The database team consists of five to six people. We are not currently using the AI functionality in MongoDB Atlas, though AI-driven projects are available in their vector search. Based on my experience, I would recommend MongoDB Atlas to other users looking for NoSQL databases. We do everything on our own and are not using third-party services for maintenance. I am involved in the maintenance process. We are using MongoDB Atlas for commercial purposes. The number of people currently using this product in my organization is related to my platform hosted on MongoDB Atlas. I think it's a competitive solution compared to others, though I cannot comment on pricing as I haven't seen pricing for other products. I rate MongoDB Atlas a nine out of ten. Which deployment model are you using for this solution? On-premises If public cloud, private cloud, or hybrid cloud, which cloud provider do you use? Amazon Web Services (AWS) Disclaimer: I am a real user, and this review is based on my own experience and opinions. What is our primary use case? We are using MongoDB Atlas for our log storage, transactional log storage, and we are into CPaaS business, communication platform as a service. We are also using PostgresSQL in some of the applications, alongside MongoDB Atlas. What is most valuable? The most valuable features Read more

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By Luca Botti - December 9, 2024

Supportive features enable effective data management and growth

What is our primary use case? I used MongoDB Atlas for structured data storage as part of an application service provided to one of our customers. The application was based on MongoDB and Atlas. While Google Cloud SQL was used for consulting, I interacted with Google Cloud but was not the final decision maker. How has it helped my organization? From an operational point of view, there were no costs associated with maintaining the database on my side, and service costs were acceptable from both my side and the customer’s perspective. What is most valuable? I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive. What needs improvement? I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers. For how long have I used the solution? I have been using MongoDB Atlas since 2017 and Google Cloud Platform since 2018. What do I think about the stability of the solution? There are no issues mentioned regarding stability. I evaluated MongoDB Atlas as not the best solution for the application in the long term, specifically when the services consolidate themselves. What do I think about the scalability of the solution? MongoDB Atlas scales well and supports data growth effectively. How are customer service and support? The technical support is very good. I have used them sometimes, even recently, and found the feedback to be spot on our needs. How would you rate customer service and support? Neutral What's my experience with pricing, setup cost, and licensing? The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale down when needed. What other advice do I have? I highly recommend MongoDB Atlas for both smaller and larger companies. It is rated an eight out of ten, depending on the use case. As a document-based database, it is one of the better products on the market. If public cloud, private cloud, or hybrid cloud, which cloud provider do you use? Other Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner What is our primary use case? I used MongoDB Atlas for structured data storage as part of an application service provided to one of our customers. The application was based on MongoDB and Atlas. While Google Cloud SQL was used for consulting, I interacted with Google Cloud but was not the final decision maker. Read more

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By LijomonJose - June 26, 2024

Offers other benefits like high performance, document-oriented storage, and flexibility in data modeling

What is our primary use case? We use an application called Fully Factory in the Indian stock market. It works by setting price ranges for stocks. For example, if the Bank of India stock sells between 800 and 810 rupees, you set a range of 800 to 850 rupees. The system prioritizes buyers with the lowest price and highest quantity. MongoDB's "find first" function quickly locates and blocks the remote and quantity. The client's amount is shown in the record, and then it's processed. We take around 500 records, and the first 100 are processed in a batch. This gets executed and recorded. Developers handle tasks like JP, AR, and AP separately. We update the client's inventory and pass it to a third party. In Microsoft, we use the same client cover to determine the quantity and product details. This is then executed in their API Acondra server system. So, MongoDB Atlas is used in stock market applications to handle large-scale data processing. What is most valuable? For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual. Spring Cloud ensures I have this set with Atlas, and Spring Security is entering the security for me. That's why I feel Spring Security is much better. Even if you expose a public method, it will be exposed via an authentication token. If you're putting a direct authentication case authentication with their sync of Google token, just put a sync token directly. It will automatically type your method. Even if you expose a public method, it will be exposed via authentication token. Unmasked analytics, you have PeerSpot on or authentication token. It won't get executed. What needs improvement? It's better to use the predicate in Java side to sort. If you are trying to sort in MongoDB, the comparator of Sandal will be discussed. It can be sorted, but if you can do the competitor in Java, sorting using predicates (filtering conditions) and all, it'll be faster. That is what I noticed. For conditioning sorting in MongoDB might be slower, but I haven't verified that. I am doing sorting using predicate in Java. Another concern: When I use RoboMongo with MongoDB, it gets delayed and slower when the records are more than one billion. If the records are more than one billion, the document page will see it's all documents. If you have more than a thousand series in your system, it will be difficult to scroll down and get the reserve the directory. I think if they can have some horizontal way of displaying the reports, they can't be answered, but I'm not sure. The tool is providing protected. However, in RoboMongo, it is tough to see that, of course. It's better at one thousand or four thousand since in a single row. For how long have I used the solution? I have experience with this product. I've used MongoDB intermittently since around 2020. It's a deep system. You need to find the data, and sometimes use queries. There's a conversion tool that helps transform static queries into MongoDB 3 format. What do I think about the stability of the solution? In RDBMS, we have an option to put triggers and functions in the database. In MySQL, you have an option to put a function as well as a trigger, but I haven't found that option in MongoDB. I can create functions, but I am not able to create a function trigger there. We have to create, get, update, and delete, which I can do in MySQL and SQL Server also. But in the same way, you can perform in MongoDB. That is the only thing I noticed. Other than that, the query that is performing, creating, updating, and deleting everything can be made possible in MongoDB. You cannot create only that trigger in MongoDB. I haven't found anywhere to create that trigger. Without triggers, you can't automatically execute actions in response to data changes in MongoDB. That is the only drawback that I find with MongoDB: creating the trigger. Apart from that, I think everything can be possible. We can put function software into the database, and you can execute the review. But when creating the triggers, you need to perform separate functions for that. What do I think about the scalability of the solution? Scalability in MongoDB always depends upon the configuration. We can configure it accordingly, but it is definitely essential. Your hardware system should also ensure the number of resources your application is consuming. For example, in my application, if the unit is more than 400 kits. In a point of time, it will get executed. I tested that using JMeter. When I'm doing the amenity services, I always put the 500 resource at a time. At a single point of time, 500 resources will get in that 5, so I just find any issues on that. The client also has not had any issues. When we are doing any of the microservices, we need to ensure using JMeter. Via JMeter, you can ensure, like, how much on the port of ten, how much in the source can be accessible. How was the initial setup? It's a one-click install. Maybe, like, two settings. If you already have MongoDB, five to ten minutes is regarding some MongoDB. The only thing that you should know is the port number and the IP address if you're exposing your application to a third party. I think if you're aware of those risks, you can install it immediately. It's easy if you need to collect that data. You might know five to ten minutes. We can install the remote engineer system. I don't think it will be a bigger task, but even if you're configuring for multiple people, you just need to add that particular port number in your system. Otherwise, it won't allow you to log in. Even if you're using Microsoft authentication, we normally have multiple layers of authentication. So use the command password, and then you will get the notifications, whether you are getting log-in or not. That will take some time. Maintenance: For getting queries only, we put a Java set. From the development perspective, once the database is set up and you configure the URLs, everything works fine. You have 192.138.1.1 URL, it automatically connects to the review if the network is enabled. Then it connects to the review. However, it definitely depends on the bus service we are passing. It should work fine with no issues if the configuration is okay. That is how we install it. Once we have source, then it's the same network. If it is on the same network, we have a contract, the traffic is there, and the agent works. If I want to test whether my microservices work fine, I use them again, and they test if my microservices are working fine. Normally, almost all microservices are in a rack server, so you don't get the performance there. I haven't found any issues directly. What other advice do I have? If you are looking for a robust system with a lot of security concerns, then you should go for IBM. I'm not saying MongoDB is not 100% secure, but for highly confidential data, I would suggest other solutions. However, in MongoDB, you can do filing processes and vertical reports. Everything can be done in MongoDB, but the newest is a relationship. You cannot maintain the referential integrity relationship. You can maintain it, but it will be a little tough. If you want to maintain the relational database in MongoDB, the resource should be at least a minimum of one and a half years highly exposed in MongoDB. Then only we'll be able to manage that data. Even for new joiners, it is a little tough to explain how the relational database is maintained in MongoDB. Overall, I would rate the solution an eight out of ten. Disclaimer: I am a real user, and this review is based on my own experience and opinions. What is our primary use case? We use an application called Fully Factory in the Indian stock market. It works by setting price ranges for stocks. For example, if the Bank of India stock sells between 800 and 810 rupees, you set a range of 800 to 850 rupees. The system prioritizes buyers with the lowest price a Read more

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By Bhaskar N Subramanian - June 15, 2024

Easy to use, flexible to changes, and performs well

What is our primary use case? The application we are working on is built on MongoDB. What is most valuable? MongoDB is a NoSQL tool. We can easily add fields. It provides more flexibility to store data. It is flexible to changes. I have not encountered any performance issues. What needs improvement? Search Read more

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By IrfanRashid - June 3, 2024

Free for development, scalable, and user-friendly for connecting with frontend and backend technologies

What is our primary use case? 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. What is most valuable? 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. What needs improvement? 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. For how long have I used the solution? We've been using MongoDB for three to four years. What do I think about the stability of the solution? 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. What do I think about the scalability of the solution? 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. How are customer service and support? 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. Which solution did I use previously and why did I switch? 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. How was the initial setup? 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. What was our ROI? The main benefits include cost savings and speed. The application runs fast, and accessing data is quick. ROI is very good. What other advice do I have? 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. Which deployment model are you using for this solution? Public Cloud If public cloud, private cloud, or hybrid cloud, which cloud provider do you use? Microsoft Azure Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner What is our primary use case? 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. What is most valuable? It can store data as a fla Read more

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By MphoMorake - May 20, 2024

Serves as a general-purpose database and provide IoT integration

What is our primary use case? 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. 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. Disclaimer: My company has a business relationship with this vendor other than being a customer:Partner What is our primary use case? 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 Read more

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By MuhammadBilal7 - April 30, 2024

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. Disclaimer: I am a real user, and this review is based on my own experience and opinions. 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 organizat Read more

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By Shivam_Tiwari - March 25, 2024

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. Disclaimer: I am a real user, and this review is based on my own experience and opinions. 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 conf Read more

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