The primary use case is data retrieval. It allows for easy retrieval of data as all the required information is stored within the document. This becomes particularly useful as the company scales, preventing queries from becoming sluggish.
MongoDB Atlas for Government
MongoDB, IncExternal reviews
379 reviews
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External reviews are not included in the AWS star rating for the product.
Best Database tool for beginner and advance users.
What do you like best about the product?
MongoDB Atlas is the best database system available, making it suitable for both novice and expert users. This is one of its greatest features. It is often helpful in projects, no matter how big or small, because of its simple integration and implementation. Additionally, we can easily accomplish everything from Dashboard View as well. Because of all these advantages, MongoDB Atals was used so frequently in every project, as mentioned above.
What do you dislike about the product?
As of now, I have not found any downsides to the MongoDB Atlas, but with my past experience, I can say that if any student wants to use this for a major project that may have large data, they will need to pay money, which makes them reluctant to use it. On the other hand, they can get more storage with local MongoDB, but Atlas means cloud service, which I think is the downside because they are only giving 512 MB of free storage.
What problems is the product solving and how is that benefiting you?
The problem that MongoDB Atlas is solving for me is that it is giving cloud backup and helping me make my large-scale website into a dynamic website, which helps me maintain large amounts of data without any custom server for the data. And the cloud backup helps me because when I have some effect on my hosting server, the data will not be effected because it is in the cloud of MongoDB Atlas.
Mongo Atlas User Review
What do you like best about the product?
Its very easy to get started and set up a database from scratch. The instructions and the documentation are very simple. The ability to scale automatically both the storage and the compute is what makes it an ideal choice.
What do you dislike about the product?
one challenging thing that i faced was migrating from self-hosted mongo to Atlas, especially when the versions were different.
Mongo does not have upsert functionality which makes live migrations incredibly difficult.
Mongo does not have upsert functionality which makes live migrations incredibly difficult.
What problems is the product solving and how is that benefiting you?
MongoDB is simple to use and has excellent documentation. It is the primary database we use. Really fast and reduced our page load times.
Great support with slick solutions
What do you like best about the product?
It helps to manage MongoDB instances, but I loved every update and also in the short term. MongoDB Atlas is really easy with almost solution and because of I don't need any separate resource/person to manage my database instance. The community is also good with quick answers.
What do you dislike about the product?
Straight to the point, There is no proper role-wise access module, they need to improve that ASAP because it is blocking access to different projects as per the client's access.
What problems is the product solving and how is that benefiting you?
MongoDB Atlas helps me to manage my client's database instances with all possible features and also I don't need a DevOps person to manage all this.
Great NoSQL database storage platform.
What do you like best about the product?
MongoDB Atlas enables us to store a whole database online as a JSON document and access it from anywhere, I particularly appreciate that the databases are NoSQL, which eliminates the need to utilize another dialect to access the data set, because MongoDB Atlas eliminates the need to establish time-consuming pipelines, there is no compelling incentive to create backend administrations, MongoDB Atlas has been useful for its full integration into applications; its recording allows applications to be developed faster and more securely; the ease of use is excellent; and the support for the professional version is also excellent; we use it to store a large amount of data that will be used in our daily calculations.
What do you dislike about the product?
We can't take a copy of all data from a cluster, and one element I despised was the requirement for me to whitelist my IP address on the MongoDB Atlas site in order to successfully link my application with the Mongo NoSQL database. The absence of structure is frustrating in the sense that more open source overlays in Mongo are required to make it viable for storing time series; Python dictionary support is also lacking.
What problems is the product solving and how is that benefiting you?
We are using MongoDB Atlas to solve the data caching problem; the ease of use and performance gains have been noticeable; running MongoDB Atlas on data relocations is frequently an excellent alternative; I have used MongoDB Atlas for deployment marches, and the big stone monument of effort alters conditions. On a larger scale, having the ability to utilize Stitch as a backend for help makes quick and robust forwarding a beautiful experience, MongoDB Atlas enables collection construction with minimum effort, and MongoDB Atlas adapts fantastically to new fields as users alter sites.
Useful MongoDB Atlas for a beginner
What do you like best about the product?
It's very convenient for a beginner to step into this document-based database type.
We just have to have an account to explore.
We can deploy a free cluster.
We just have to have an account to explore.
We can deploy a free cluster.
What do you dislike about the product?
Join operations, common in relational databases, are not as straightforward in MongoDB.
Although we can denormalize data to some extent, there can be redundancy and potential inconsistencies in data.
Although we can denormalize data to some extent, there can be redundancy and potential inconsistencies in data.
What problems is the product solving and how is that benefiting you?
Challenge: Managing a MongoDB database can be complex, involving tasks such as deployment, configuration, scaling, and maintenance.
Benefits: MongoDB Atlas simplifies these tasks through a user-friendly interface, automating many aspects of database management. This can be particularly beneficial for individuals and organizations that want to focus more on application development than database administration.
Benefits: MongoDB Atlas simplifies these tasks through a user-friendly interface, automating many aspects of database management. This can be particularly beneficial for individuals and organizations that want to focus more on application development than database administration.
One of the best cloud database platforms.
What do you like best about the product?
It's very easy to use and connect to, and you can use your database for almost anything, I have never experienced any data loss or data issues, MongoDB Atlas is a premium database system, dynamically scalable, and extremely easy to use and im project to implement. We use MongoDB Atlas because it reduces cost and administration time, the best features are data protection, clustering, multi-region instances, and strong authentication and encryption features, MongoDB Atlas is fast, offers low-cost latency, and also offers a simple interface.
What do you dislike about the product?
I don't have anything to complain about; the only issues I've encountered were user mistakes when we initially started utilizing this platform.
What problems is the product solving and how is that benefiting you?
It is ideal for database management activities that require high speed; with NoSQL, you can produce records quicker than with SQL databases; with MongoDB Atlas, it is simple to connect backend; and we can store massive amounts of data customers securely. Instead of requiring an external framework for a search, such as elastic search, MongoDB Atlas provides Atlas search, which has numerous capabilities such as fuzzy search and is also efficient to use.
Enhanced flexibility in data modeling, seamless scalability and efficient handling of unstructured or complex data through its document-oriented structure
What is our primary use case?
How has it helped my organization?
Working with it extends beyond database skills. Utilizing additional tools such as ML frameworks (e.g., TensorFlow), languages like Python for data analysis, and platforms like Apache Spark for distributed computing can enhance one's capabilities in extracting meaningful insights from data.
What is most valuable?
It facilitates the generation of heatmaps for graphical data analysis. This can be valuable for visualizing patterns and trends in data. While other databases like Cassandra may also serve this purpose, MongoDB stands out for its simplicity in handling complex queries and graphical data representation.
What needs improvement?
It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements.
For how long have I used the solution?
I have been working with it for a year now.
What do I think about the stability of the solution?
It is highly stable. I would rate it nine out of ten.
What do I think about the scalability of the solution?
It emerges as a favorable choice for customers seeking efficient data storage and scalability. On a scale of one to ten, I would rate it at eight.
Which solution did I use previously and why did I switch?
I have been working with both MongoDB and HIVE and the choice between them depends on the specific requirements of the client. While I've been actively engaged with both databases, the preference depends on the nature of the data and whether file storage is required. If data retrieval is the primary focus without the need for file storage, I opt for MongoDB. On the other hand, if the client requires storage for both data and files, HIVE becomes the main choice.
How was the initial setup?
I would rate the initial setup six out of ten.
What's my experience with pricing, setup cost, and licensing?
I only used the open-source version.
What other advice do I have?
Opting for MongoDB could be beneficial, especially for storing large volumes of records, even for transient data. The decision hinges on the nature of the data itself. If there is a significant amount of metadata, it becomes a preferable choice for its scalability and superior query performance. It's important to anticipate future operations; for example, if there's a current load of ten thousand audio and video files, MongoDB can efficiently handle it. Overall, I wold rate it eight out of ten.
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?
It is cloud-based and easy to use with great learning resources.
What do you like best about the product?
Since it uses a database, you don't have to worry about managing instances, networks, etc., Atlas also provides a minimal web interface that allows you to perform some actions on the data itself, the dashboard is very useful and I also use the alert system. The best part about Atlas is that you can choose where to place your servers from a list of cloud providers (Amazon, Google, etc.)., MongoDB Atlas is very useful for rapidly deploying applications, Atlas is ideal for development environments because it reduces computer load and the need to manage MongoDB. You can also connect through GUI applications such as Compass and filter connection requests, It is based on IP addresses, which increases security.
What do you dislike about the product?
In the dashboard, I would like better options to drill down into each database (some metrics are only available cluster-wide), security settings can be difficult to understand, and you also need better resources for working with data stored in your database. Helpful Web Interface Not the best I've ever seen, Mongo is a little slower because it's not available locally, but it can cache data you need frequently.
What problems is the product solving and how is that benefiting you?
This is our only database, and it allows us to have a very fast development cycle. MongoDB is simple to use and has excellent documentation, I've used MongoDB Atlas to store documents with data that can be accessed via my web APIs, the main benefit I've noticed is the ease with which my microservices can store data.
We required a cloud-based database so that my team could collaborate on the same database from different locations; MongoDB solves that problem, and the performance of the MongoDB Atlas cluster outperforms that of any other database service provider, using MongoDB cloud storage, data on the cloud makes the development environment more flexible, collaborative, and manageable.
We required a cloud-based database so that my team could collaborate on the same database from different locations; MongoDB solves that problem, and the performance of the MongoDB Atlas cluster outperforms that of any other database service provider, using MongoDB cloud storage, data on the cloud makes the development environment more flexible, collaborative, and manageable.
The best NoSQL database, very user friendly.
What do you like best about the product?
It is straightforward, fast, and convenient to construct a cluster and launch your cloud database, and it also includes integrated tools for viewing the data you have in it. MongoDB Atlas is the greatest database host, with easy database management and creation, access control, VPC to your cloud, and profile analysis to optimize performance. MongoDB Atlas has a robust Logical Volume Manager (LVM) that converges our disk images from our on-premises environment to our cloud platforms, as well as great hashing algorithms that provide unique string identities for our addition operations check.
What do you dislike about the product?
There is no guilt in utilizing MongoDB Atlas because its network partitioning is ideal for our distributed system failover circumstances. It provides multi-zone latency and availability, which eliminates asymmetric outages when nodes in our application cluster connect with one other, but I believe they should give at least one decent tool for viewing and modifying data.
What problems is the product solving and how is that benefiting you?
As part of our business requirements, we transfer our legacy and on-premises data storage to cloud platforms, and MongoDB Atlas enables legacy peer orchestration to guarantee a smooth transition to the cloud. Its cluster management and operability are excellent, and its point notation capabilities provide me with quick access to the pieces of our application while ensuring ultimate consistency across our distributed systems. I'm using MongoDB Atlas to utilize a NoSQL database in the cloud; I'm saving money by doing so because the pricing isn't too expensive. MongoDB also allows you to construct sandbox databases, which is useful for development and testing; it's a simple method to establish and maintain databases.
MongoDB Atlas is the best cloud database.
What do you like best about the product?
The real-time graph is fantastic; it offers detailed information about which tasks are taking too long to finish; also, the "Performance Advisor" is a useful feature that suggests ways to optimize the database structure. It is extremely simple and quick to integrate, from adding a new database to any project to adding new collections and altering and updating information, everything is very simple and fluid, and the best part is that there is no need to download any program, everything can be done on the internet. MongoAtlas includes the option to build an organization, so if you work on various projects with different individuals, you can create multiple organizations, each with its own set of parameters, such as who can manage or update, and so on.
What do you dislike about the product?
The database server occasionally breaks due to configuration changes, but the rest of the features are excellent. The login and authentication method in MongoDB Atlas is a disgrace; every time I shut and reopen the tab, it indicates login, but when I click login, I'm already signed in; I don't need the password again, and the UX is occasionally confused.
What problems is the product solving and how is that benefiting you?
I've been using MongoDB Atlas in all of my full-stack projects and it's worked great so far. MongoDB Atlas is easy to integrate with any software and use, and the best part is that you don't need to download or configure anything; simply visit the MongoDB Atlas website, log in, and configure the entire database there. They have supplied me with a place where I can enter a link to a website where I am going to use it for security reasons, if the user is working on a little project, they do not need to host the mongo database locally or on AWS/GCP, simply use MongoDB Atlas for it.
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