MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
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Verified User
Engineer in Information Technology (51-200 employees employees)
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.
Pros
Autoscaling
High availability
Easy to integrate with
Multi regional
Backups and recovery
Cons
For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
Return on Investment
Reduced the time and effort needed to manage a DB
Amazing availability and scalability for our data without human interaction
The usage of fully managed service was less cost that having a team to work and manage a MongoDB Atlas cluster
Usability
Alternatives Considered
MariaDB Platform, Google Cloud SQL, Amazon Relational Database Service (RDS), Elasticsearch, Google Cloud Datastore and Redis Software
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
DevOps Engineer in Engineering at Kea (51-200 employees employees)
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.
Pros
Monitoring
Recommendation
NoSQL
Documents Database
Cons
Cost
Remote Access
User Management
Other Software Used
Amazon Relational Database Service (RDS), HashiCorp Vault, Grafana
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
VP R&D, DevOps, and Products in Research & Development at Zoomd Technologies (51-200 employees employees)
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.
Pros
Managed Database Hosting
Backup and Recovery
Perfomance Monitoring
Scaling and Load Balancing
Cons
Pricing for small instances could be cheaper
Allow downscaling of existing instances
Return on Investment
Improved our maintainability
Reduced daily work compared to self-hosted solutions
Reasonable pricing compared to value
Alternatives Considered
Amazon Relational Database Service (RDS)
Other Software Used
MongoDB, Amazon Relational Database Service (RDS), SingleStore
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Vice President, Chief Architect, Development Manager and Software Engineer in Information Technology at WySTAR Global Retirement Solutions, a Wells Fargo Company (10,001+ employees employees)
Pros
DB Provisioning.
DB Management.
Cons
Live Migration Service.
Return on Investment
Positive - Faster provisioning so we don't have development teams waiting.
Positive - Automated backups and server management - eliminates need for dedicated DBAs.
Alternatives Considered
MongoDB and Redis
Other Software Used
IBM Db2 Big SQL, SAP Adaptive Server Enterprise, Redis
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Engineer in Information Technology (10,001+ employees employees)
Pros
No infrastructure on our side. Free of management.
Easy to scale up and down.
Cons
More granular billing.
More specific alerting system.
Return on Investment
Saves us time to manage our own infrastructure.
Team members do not have to learn unnecessary setting up.
Alternatives Considered
MongoDB, Amazon DynamoDB, Google Cloud Datastore and Firebase