Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.
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MongoDB Atlas
Score 8.3 out of 10
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MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Redis Cloud
Score 10.0 out of 10
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Redis Labs in Mountain View, California offers Redis Enterperise Cloud, available on AWS, Microsoft Azure, and Google Cloud, delivered as a service and boasting maximal uptime, easy migration with on-prem deployments of Redis, designed to enable users to run any query, simple or complex, at sub-millisecond performance at virtually infinite scale without worrying about operational complexity or service availability.
*Redis is a trademark of Redis Ltd. Any rights therein are reserved to Redis…
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Pricing
Azure Cosmos DB
MongoDB Atlas
Redis Cloud
Editions & Modules
No answers on this topic
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
No answers on this topic
Offerings
Pricing Offerings
Azure Cosmos DB
MongoDB Atlas
Redis Cloud
Free Trial
No
No
Yes
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Cosmos DB
MongoDB Atlas
Redis Cloud
Features
Azure Cosmos DB
MongoDB Atlas
Redis Cloud
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Azure Cosmos DB
9.9
7 Ratings
11% above category average
MongoDB Atlas
-
Ratings
Redis Cloud
-
Ratings
Performance
10.07 Ratings
00 Ratings
00 Ratings
Availability
10.07 Ratings
00 Ratings
00 Ratings
Concurrency
10.07 Ratings
00 Ratings
00 Ratings
Security
10.07 Ratings
00 Ratings
00 Ratings
Scalability
10.07 Ratings
00 Ratings
00 Ratings
Data model flexibility
9.07 Ratings
00 Ratings
00 Ratings
Deployment model flexibility
10.07 Ratings
00 Ratings
00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
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
Redis Cloud is very well suited for scenarios where fast data access is required or somewhat unstructured data needs to be stored. For us, it has worked very well for user session storage. However, if you have large amounts of structured data that is not frequently accessed, Redis is not the solution and a traditional relational database is likely more appropriate.
Scalable Instantly and automatically serverless database for any large scale business.
Quick access and response to data queries due to high speed in reading and writing data
Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
Generous free and trial plan for evaluation or test purposes.
New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
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
It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.