Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
What is our primary use case?
Our main use cases for MongoDB Enterprise Advanced involve customer-related data and transactions related data; all the customer-facing data will be there. For the project we are using it in telecom. All the customer-related transaction data, their plans, their telecom plans, their consumption, and all those details will be there.
We are using MongoDB Enterprise Advanced in the telecom domain, and we are using this in the customer-facing area. All the customer-related data both for transactions and point of sales data are stored here.
What is most valuable?
Advanced security features are helpful; our database access security is done through IAM, which is an AWS service, and that IAM is integrated with the security manager with single sign-on process, which is also an AWS service. It's a combination of all that. This was integrated with MongoDB Enterprise Advanced security perspective; that's how we are taking care of the access-related security.
We do use the in-memory storage engine as part of performance improvement; these are already tuned.
It improves the performance depending on the load. When the database receives numerous requests, it has to perform. Those threshold limits we come to know, and then automatically these memory enhancement advanced features are configured so that during high demand periods, memory automatically increases to cater to the incoming advanced requests and volume of requests.
We are using real-time analytics and monitoring in MongoDB Enterprise Advanced; it is integrated. The existing advanced feature is integrated with our business analytics interface. All the various business intelligence reports are generated from that.
What needs improvement?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there.
All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
For how long have I used the solution?
I have been working with MongoDB Enterprise Advanced for almost more than three to four years.
What do I think about the stability of the solution?
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced. It is basically transactional from the platform standpoint. Mostly from the product heavy search during those times, which presents capacity planning challenges only, but from the platform standpoint, we have not observed any specific technical issues.
It's pretty much stable; I haven't received any complaints regarding stability.
What do I think about the scalability of the solution?
MongoDB Enterprise Advanced is easy to scale.
How are customer service and support?
We did contact technical support for MongoDB Enterprise Advanced but it goes to a central team. We have received fairly good support whenever we reached out to the technical teams; they were prompt. Once in a while there was a bit of a delay in response but that depends on the technical issue. Overall, we are satisfied with the support.
How would you rate customer service and support?
How was the initial setup?
For MongoDB Enterprise Advanced, the initial setup is straightforward; it is not too complex. It is comfortable to implement.
What was our ROI?
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
What's my experience with pricing, setup cost, and licensing?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on that right now; we are satisfied with the pricing.
What other advice do I have?
It's good; for first-time users, if somebody is looking for a good guaranteed database for all structured and unstructured data, MongoDB Enterprise Advanced is the way to go. On a scale of one to ten, I rate this solution an eight.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Best cloud database management system for nosql db
What do you like best about the product?
By using the mongodb atlas cloud it is very easy to scale up on one click and it is very easy to integrate with application and for the day to day usage it is very easy .It is customer support and user interface is soo easy to manage.
What do you dislike about the product?
In dont like about the altas is that that pricing comes expensive as a data and cluster. cold start issue for the paused cluster.
What problems is the product solving and how is that benefiting you?
It is remove the complexity of the database server and the mangement and one best thing about it that it provides the automatic backups and high availablity for the poducation grade system this features benifit use alot.
Mongodb as the good flexibility, scalable to more data and performance , stores different data types
What do you like best about the product?
It good as it store different types of data structures, different types of documents as it as good scalability and has good performance.
What do you dislike about the product?
It doesn't support multi document ACID and contains high memory usage which has data inconsistencies sometimes.
What problems is the product solving and how is that benefiting you?
It helped me in doing the complex projects with the multiple documents and is flexible and has high availability and performance.
Transforms data flow with adaptable schema and smooth public cloud deployment
What is our primary use case?
One of our business units uses
MongoDB, and we developed an ETL pipeline that extracts data from
MongoDB and transfers it into our data warehouse.
What is most valuable?
MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and add new data points. Additionally, it scales up easily with low memory requirements. This makes it suitable for our data management needs.
What needs improvement?
There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or
PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
For how long have I used the solution?
I have about four years of experience working with MongoDB.
What was my experience with deployment of the solution?
The deployment process was straightforward.
What do I think about the stability of the solution?
MongoDB is highly stable, and I would rate its stability at nine out of ten.
What do I think about the scalability of the solution?
MongoDB is highly scalable. I would rate its scalability nine out of ten.
How are customer service and support?
We use the open-source version of MongoDB and manage it ourselves, so we have not contacted their technical support.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Before using MongoDB, we used IBM
DB2. We switched to MongoDB to develop a composite system that includes both SQL and NoSQL databases.
How was the initial setup?
The initial setup of MongoDB was a straightforward process.
What's my experience with pricing, setup cost, and licensing?
We use the free version of MongoDB, so there are no licensing costs.
What other advice do I have?
Based on my experience, I would recommend MongoDB to others. Its usage depends on specific use cases. MongoDB is suitable for document database needs. I would rate MongoDB as eight or nine out of ten, and I would rate the overall solution the same.
