
MongoDB Atlas for Government
Intuitive UI and Admin Settings That Just Make Sense
MongoDB Atlas: Effortless Clusters, Flexible Schema, and Reliable Cloud Management
I also appreciate not having to manage servers myself or handle backups manually. On top of that, the schema-less approach makes updates simpler than with more structured databases. I really value the flexibility of the document schema for unpredictable development needs, since it lets me reorganize data without dealing with traditional relational tables. Overall, the document model saves me a lot of development time because I can add new fields and adjust how information is stored without repeatedly restructuring the database.
Reachable, Easy to Use, and a Big Time-Saver with Atlas
MongoDB Accelerated Our ERP/Ecommerce Development
When I started this project 8 years ago, I was warned not to choose NoSQL because it supposedly wasn’t recommended for this type of project. I’m glad I didn’t follow that advice.
Flexible and Efficient, Although a Bit Complex
Effortless Database Management with MongoDB Atlas
Document data has streamlined prototyping and now supports secure cloud deployments
What is our primary use case?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
What is most valuable?
I think the document-based approach is valuable. It's not SQL-based, so it's fairly easy to prototype. However, there is a con to that, which is that you don't have any migration. It's a double-edged sword.
We always use Redis for the in-memory storage engine with MongoDB Enterprise Advanced.
What needs improvement?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the ORM that we use, doesn't have full support for MongoDB Enterprise Advanced. It really falls short of that because many developers are using Prisma instead of Mongoose or their underlying native drivers. I think one point is that their native drivers, or how you query data from their native tools, is just much more difficult.
For how long have I used the solution?
I have been using MongoDB Enterprise Advanced for over three years.
How are customer service and support?
I had technical support from MongoDB Enterprise Advanced over two years ago. I think they resolved it, but it was very long. We waited for a day or two.
How was the initial setup?
On Atlas, it can take about an hour, but on DigitalOcean, if I do it again, I'd say it's maybe two hours or so for setup.
I do it mostly alone for the installation.
What's my experience with pricing, setup cost, and licensing?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one that MongoDB Enterprise Advanced provides, it's fairly easy to set up.
What other advice do I have?
I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider.
Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production.
It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL.
On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced.
I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money. My review rating for MongoDB Enterprise Advanced is 8 out of 10.