MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
496 reviews
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External reviews are not included in the AWS star rating for the product.
Room for improvement in data handling leads to enhanced cost-effective data management performance
What is our primary use case?
I primarily use Oracle databases, but I work with many other databases such as MongoDB Atlas and several cloud databases. I utilize MongoDB Atlas predominantly for training-level projects in resource grooming and for sub-projects at my office. It is used alongside Oracle and Postgres in these training layers.
What is most valuable?
MongoDB Atlas offers replication, which is cheaper than Oracle RAC, making it appealing to certain industries. It is particularly useful for unstructured and semi-structured data because of its performance in these areas. Sharding and partitioning are supported, though they don't reach the same level as Oracle's capabilities. This cost-effective solution assists organizations in data storage and management.
What needs improvement?
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.
What do I think about the stability of the solution?
MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines. This is a continuous challenge I face when utilizing MongoDB Atlas.
What do I think about the scalability of the solution?
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle. Partitioning is also available; however, it lacks a multi-tenancy architecture, which affects its scalability in comparison.
How are customer service and support?
Technical support from MongoDB Atlas, which is open source, is satisfactory in most cases. However, when compared to top databases like EDB, Postgres, and Oracle, the features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
How would you rate customer service and support?
What's my experience with pricing, setup cost, and licensing?
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What other advice do I have?
The overall rating for MongoDB Atlas is around 5.5. To improve, MongoDB should enhance support for demanding graph databases, vector databases, and spatial handling. Additionally, improvements in AI capabilities, particularly vector processing, are imperative. These developments could provide MongoDB Atlas with a competitive edge.
A very good and friendly experience i had with the MongoDB till now.
What do you like best about the product?
Fast data fetching and easy to use and implementaion.
What do you dislike about the product?
Some time we face connective issue with the database. Without any appropriate reason
What problems is the product solving and how is that benefiting you?
Fast data serfing over the internet and easy to manage it even the GUI is really usefull.
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.
Offers seamless support for diverse data structures and simplifies compliance
What is our primary use case?
In my SaaS role, MongoDB Atlas helped me meet compliance standards by keeping tenant and customer data in separate databases. I improved performance by setting up Atlas clusters in each region. In a high-restriction context, data replication between regions ensured smooth failover without constant snapshots. For added security, I even took data snapshots to another cloud. Choosing MongoDB Atlas depends on your specific SLA and disaster recovery needs.
How has it helped my organization?
What is most valuable?
The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering. This is crucial for handling diverse requirements and integrations with different configurations. The flexibility to support various deployments, whether on AWS, Azure, or GCP, by easily adding additional clusters, has been another significant advantage.
What needs improvement?
There is room for improvement in the cost of certain features like encryption. The web console isn't very intuitive, especially for large data. The new feature, Cube, for BI needs better documentation, and more workshops or videos would be helpful for users and developers. Additionally, real-time performance monitoring in MongoDB Atlas needs improvement.
For how long have I used the solution?
I have been working with MongoDB Atlas for about two months, but my company has been using it for a couple of years.
What do I think about the stability of the solution?
MongoDB is quite stable.
How are customer service and support?
The technical support is very good. I would rate it as an eight out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I have worked with MySQL and PostgreSQL. MongoDB stands out for managing JSON and document types most efficiently. While other databases support JSON fields, MongoDB offers the best solution for handling JSON data.
How was the initial setup?
The deployment was quite straightforward and it only took about half a day.
Maintenance is generally manageable with MongoDB, but it becomes challenging when facing issues or disasters. The profiler and logs are not very user-friendly which makes it harder to identify and resolve problems quickly.
What was our ROI?
The ROI with MongoDB Atlas depends on how well you manage your data and throughput. It is crucial to understand your data and use their tools effectively. Mismanagement can lead to higher costs, especially with scaling, so careful monitoring is essential.
What's my experience with pricing, setup cost, and licensing?
I don't have any concerns about MongoDB Atlas pricing and licensing.
What other advice do I have?
MongoDB's default encryption provides a baseline for data protection. The flexibility to let customers manage their encryption keys enhances security.
MongoDB Atlas supports our organization's implementation of microservices architecture by seamlessly fitting into our domain-driven design. While we primarily use domain-driven design rather than microservices, MongoDB Atlas offers flexibility and scalability to meet various requirements. It easily accommodates diverse data structures and events related to our customers, allowing for efficient and straightforward implementation.
Overall, I would rate MongoDB Atlas as a seven out of ten.
My advice to new users is to design your schema thoughtfully, considering MongoDB's document limitations. Utilize profiling and set up alerts for scaling issues. Understand how to query efficiently and focus on proper indexing for improved performance.
A Flexible and Powerful Database System!
What do you like best about the product?
It is flexible and helps to store data in document format. If you want to handle a huge amount of data then it is a perfect platform. It is providing high performance and better solution of storing data. As data is stored in document format thus you can easily delete and add any existing field and you can change records as well. It helps in fetching data accurately and storing complex structures. It helps in storing data with any type and size.
What do you dislike about the product?
Users are facing a lot of security issues. Aggregation is complex and difficult to learn. It has a terrific administrative interface. It will not be able to work fast with a cloud environment, most of its processes will slow down. It may be impossible to remove some comments in it.
What problems is the product solving and how is that benefiting you?
You can access your data in any language. You don’t have to define a schema for setting up your database as it is a schema-less program. It helps in organizing documents into collections. It helps in speeding up your queries. Table joins are not required in it. It is providing fast data processing. It is also having great support from many cloud-based platforms.
mongo DB is a reliable and versatile No SQL database
What do you like best about the product?
Mongo DB is a nice to work with database. Is does not have a schema, making it a flexible database. It is also scalable, making it suitable for large applications. All in all, it is a good database option to work with
What do you dislike about the product?
One big drawback of using mongo db is that it does not completely support ACID properties. This means that it cannot be used for transactional operations or where the data needs be extremely accurate, up to date and reliable
What problems is the product solving and how is that benefiting you?
It has given me an option of making a flexible and scalable database option, for creating day to day applications, where ACID compliance is not required. It is also easy to understand and work with, so that also helps.
Configurable database thru mongo db
What do you like best about the product?
I can configure the data fields and columns in Mongodb according to client requirments. This allows navigation of the UI simple with respect to the design of the tables. You can also easily download the json files for deployment.
What do you dislike about the product?
The configuration of the data fields requires indepth knowledge and understanding. Otherwise, errors will be frequent for new users. The connection of the tables is quite complex and needs to be reviewed thoroughly.
What problems is the product solving and how is that benefiting you?
The database configurations for our program needs to be designed for simple indexing. Through mongodb, we can list and configure the database according to the document categories and client requirments.
MongoDB Review
What do you like best about the product?
Most Popular NoSQL database. It revolutionised the way we looked at databases.
What do you dislike about the product?
It is difficult to understand and grab hold of first for people coming from purely SQL and relational database.
What problems is the product solving and how is that benefiting you?
Databases has been always visualised as big tables with multiple columns and endless number of rows, but MongoDB came up with the unique way of storing data in form of documents and objects.
Best scalable and flexible Database
What do you like best about the product?
Easiest way to deploy, operate and scale
What do you dislike about the product?
To easy to run query and get large database JSON based
What problems is the product solving and how is that benefiting you?
Storing Large data in mongo db and performing different operation as normalisation
Recommendations to others considering the product:
I definitely recommend MongoDB as document database
We develop micro services for monitoring using mongo db
What do you like best about the product?
Love the document based structure of db.
What do you dislike about the product?
Dislike official mongo clients. It has inconvenient ux design
What problems is the product solving and how is that benefiting you?
We save some data in mongo. It helps fast developing services without schema design
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