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.
External reviews
503 reviews
from
and
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.
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.
A stable solution with Autoscaling feature with easy setup
What is our primary use case?
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.
Best NoSQL Database sofar
What do you like best about the product?
Easy to define schema and easy to use dashboard to configure and deploy your database.
What do you dislike about the product?
I personally don't dislike anything about mongodb.
What problems is the product solving and how is that benefiting you?
We were using mongodb to strore audit events for our application which has variable number of columns and way to much data, mongodb was best solution to cater that.
A scalable unstructured database that requires its users to go for a straightforward setup phase
What is our primary use case?
I use MongoDB Atlas to take care of my company's clients who are in industries like healthcare systems, finance, and other such areas.
What is most valuable?
The solution is valuable since it works as an unstructured database.
What needs improvement?
I would like the solution to offer more integration capabilities since it is an area where the solution lacks.
For how long have I used the solution?
I have been using MongoDB Atlas for a few months.
What do I think about the stability of the solution?
It is a stable solution. Stability-wise, I rate the solution a seven out of ten.
What do I think about the scalability of the solution?
It is a scalable solution.
Around 30,000 to 40,000 of my company's customers use MongoDB Atlas.
How are customer service and support?
I was not involved much with the technical support offered by MongoDB.
How was the initial setup?
The initial setup of MongoDB Atlas is straightforward unless you don't have to deal with any database-related stuff.
I completed the setup phase of the solution in a week since I have a background in handling databases.
For the deployment phase of the solution to be successful, one needs to have a bit of cloud-based knowledge.
What's my experience with pricing, setup cost, and licensing?
I did not get into the solution's licensing costs since that is taken care of by the customers who want to use the product.
What other advice do I have?
I recommend the solution to those who plan to use it.
I rate the overall solution an eight out of ten.
Best Non RDBMS for better debugs for Data storage
What do you like best about the product?
Many clusters available to practice and get the output based on indexes and queries
What do you dislike about the product?
Altas connection is not much seured and not much scope of usage for free cluster
What problems is the product solving and how is that benefiting you?
Platform available to test the Database and use it in hybrid platforms.
Also microservices can be integrated with the azure platform with the database integration
Also microservices can be integrated with the azure platform with the database integration
Best Open Source NoSQL database able to store large volume data effeciently.
What do you like best about the product?
Many popular SQL-based database technologies can help us to store structured data, however, when it comes to storing a huge volume of semi-structured, MongoDB which is a NoSQL-based database is one of the best in the business. It gives us the flexibility to store the less structures business application data seamlessly.
What do you dislike about the product?
Though MongoDB can store our data in large volumes smoothly It is less flexible when it comes to retrieving that data stored in multiple collections, As MongoDB doesn't support the Join feature amongst multiple collections for data retrieval. This causes data duplication and intervention of ad-hoc back-end code to perform join manually.
What problems is the product solving and how is that benefiting you?
Nowadays, we have humongous unstructured application data being generated daily which we want to store for various business purposes. MongoDB proves useful to do this for us, It is flexible enough to store our unstructured data, Also its open-source verbose documentation really benefited me to easily start using this from day one and learn at a faster pace, Moreover, Its auto-scaling and replication features strongly enables me to have high availability of my business data across the multiple users.
An easily scalable and manageable solution
What is our primary use case?
I use the solution for Web Application creation.
What is most valuable?
The solution is easily scalable and manageable. Tools can be easily added to the solution.
What needs improvement?
Customer support needs improvement knowledge-wise.
For how long have I used the solution?
I have been using the solution for two years.
What do I think about the stability of the solution?
It is a stable solution. I rate the stability a ten out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. I rate it ten out of ten.
How are customer service and support?
I rate the support an eight out of ten.
How was the initial setup?
The initial setup is straightforward. The deployment takes three hours. I rate the initial setup a ten out of ten.
What was our ROI?
I have seen a 10% return on investment.
What's my experience with pricing, setup cost, and licensing?
The solution is fairly priced. I rate the pricing a seven out of ten.
What other advice do I have?
I rate the overall solution an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
MongoDB: Flexible and Scalable NoSQL Database
What do you like best about the product?
One of the aspects I appreciate the most about MongoDB is its flexibility. The document-oriented data model allows me to work with JSON-like documents, making it easy to handle and manipulate data in a way that aligns with the structure of my Node.js applications.
What do you dislike about the product?
Compared to relational databases, MongoDB requires more careful planning for certain types of queries or complex relationships. Join operations, for example, are not as straightforward in MongoDB due to its denormalized approach, which can sometimes result in more complex code.
What problems is the product solving and how is that benefiting you?
MongoDB solves several problems that benefit me as a backend developer.
Firstly, it offers a flexible data model that eliminates the constraints of rigid schemas.
MongoDB's scalability and performance capabilities enable me to handle large volumes of data and high-traffic workloads efficiently.
MongoDB's integration with Node.js and its rich ecosystem of libraries streamline the development process.
Overall, MongoDB's solutions enhance my productivity, flexibility, and scalability resulting in faster development cycles.
Firstly, it offers a flexible data model that eliminates the constraints of rigid schemas.
MongoDB's scalability and performance capabilities enable me to handle large volumes of data and high-traffic workloads efficiently.
MongoDB's integration with Node.js and its rich ecosystem of libraries streamline the development process.
Overall, MongoDB's solutions enhance my productivity, flexibility, and scalability resulting in faster development cycles.
An open-source product with good integration capabilities
What is most valuable?
I am impressed with the tool's integrations.
What needs improvement?
The tool's implementation should be made easier.
For how long have I used the solution?
I have been working with the product for two years.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
The tool is scalable. My company has more than 40 users for the solution.
How are customer service and support?
We had mailed tech support whenever we encountered issues and they had responded to us.
What about the implementation team?
The solution's deployment can be done in-house.
What's my experience with pricing, setup cost, and licensing?
The tool is free since it's an open-source product.
What other advice do I have?
I would rate the product an eight out of ten.
showing 11 - 20