MongoDB Atlas Reviews and Ratings

Use Cases and Deployment Scope

We use MongoDB Atlas as one of our Data storage solutions that where we need an unstructured DB to store stuff like JSON documents for example. The main reason we went with Mongo DB Atlas is that it provides us with a fully manages cloud instance with high scalability and good security. Also, it provides automated backups and other cool features where you don't need to personally put huge effort to use. One big advantage is the availability across multiple regions.

All these cool features helped us to have a distributed DB with high Security and scalability with minimum effort to integrate and use.

Likelihood to Recommend

It is good if you:

1. Have unstructured data that you need to save (since it is NoSQL DB)

2. You don't have time or knowledge to setup the MongoDB Atlas, the managed service is the way to go (Atlas)

3. If you need a multi regional DB across the world

Use Cases and Deployment Scope

We use MongoDB Atlas to store documents used by our application to perform our business operations. MongoDB Atlas makes it easier to solve our business problem since we can directly interact with the documents in a format we want instead of having to deal with relational databases. It also enable us to do a straightforward approach with customer data by just making some teaks and uploading to MongoDB Atlas, which reduces the burden of developing stuff around it.

Likelihood to Recommend

Suited: scenarios where you work with NoSQL data such as json objects that require scalability and elasticity of your load, multi-region deployments and all the security/good practices requirements like backup, user management, compliance, etc. Less appropriate: well if you require offline deployments MongoDB Atlas is not for you since its a cloud solution. Also since its managed by MongoDB Atlas you lose some of the fine tuning and configurations in MongoDB Atlas which might be a blocker.

Use Cases and Deployment Scope

We are using MongoDB as a database for one of our applications, and MongoDB Atlas as the managed hosting for the database. Atlas is used for both development and production workloads and allows us to have a managed service with load-balancing, backup and recovery, and performance optimization. We have multiple databases running on the system serving multiple applications.

Likelihood to Recommend

We are very happy with MongoDB Atlas as our managed database hosting provider. I would recommend it if you need an AWS/GCP based database instance without needing to worry about installation, maintenance, and backup. I am also very pleased with its scalability and performance optimization tools.

Use Cases and Deployment Scope

Our department is using the MongoDB Atlas cluster we set up on our own servers. It has reached to a point that it becomes hard to manage and to scale. MongoDB Atlas came to our site with the ability to scale and free of management, which saves a lot of effort for us.

Likelihood to Recommend

I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.

Use Cases and Deployment Scope

MongoDB is a standard NoSQL database within our enterprise. We are considering applications for cloud dbs and MongoDB Atlas is a choice for NoSQL cloud deployments or DBaaS. I am working on a project where we are looking at modernizing our platform and have defined a future state architecture. MongoDB Atlas can be used for storing some non-relational attributes that can be stored in document form where the schemas may vary from record to record. And MongoDB Atlas is very quick to provision. Getting servers provision within our organization can be very slow given the SLAs some teams have. Atlas gets us prototyping and coding almost immediately.

Likelihood to Recommend

Atlas is a NoSQL DB so the use cases being solved need to be appropriate for NoSQL. It's really hard to think of what you can't do with Atlas. Atlas is great for building a data lake. We have prototyped an application where various json files come in and we load them into Atlas for processing downstream. I would say if you're building a ledger, put that into SQL, but Atlas is definitely perfect for those NoSQL scenarios. We are also considering using Atlas for indicative and demographic information but not for financial information because the financial information fits better into our SQL deployment.

Use Cases and Deployment Scope

MongoDB Atlas provides a simple means of deploying and managing MongoDB deployments in a variety of cloud services (AWS, Google, and Azure). MongoDB Atlas includes a generous free tier for test purposes (512MB instances with low compute resources). Atlas provides a simple means of managing what can be difficult-to-deploy-and-manage software when working directly on top of a PaaS vendor like AWS.

Likelihood to Recommend

MongoDB Atlas is the clear number one choice when deploying the NoSQL MongoDB engine to a PaaS vendor, and when the ability to use an additional cloud vendor is a possibility. By having the same people designing and working on the MongoDB engine perform the hosting work, Atlas shines as an incredibly performant and scalable cloud-based NoSQL solution.