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
Score7.8 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.
Azure Cosmos DB and MongoDB Atlas are both NoSQL databases, designed to store data in a scalable, non-tabular manner. Azure Cosmos DB is most popular with mid-sized businesses and larger enterprises, perhaps due to its high level of scalability. MongoDB Atlas is more popular with smaller businesses, likely due to the availability of a free version.
Features
Azure Cosmos DB and MongoDB Atlas both allow businesses to store data in a non-tabular fashion, but they also have some unique features that set them apart from each other.
Many Database options can imitate MongoDB features, but for businesses looking for specific MongoDB features, such as the most recent integrations, only MongoDB Atlas includes the most recent version of the software. Additionally, while many cloud database options can be hosted by only a single cloud provider, Almost all cloud providers can support MongoDB. Lastly, MongoDB can provide storage for larger documents, up to 16MB in size.
Azure Cosmos DB provides easy, automatic scaling. This means that businesses that plan to vary their database use can use more or less and Azure Cosmos DB will scale accordingly without any manual input. For businesses that use primarily Windows technology, Azure Cosmos DB is also simple to implement and will integrate well with other Azure software.
Limitations
Though Azure Cosmos DB and MongoDB Atlas both fulfil essential database needs, they also have some limitations that are important to consider.
MongdoDB Atlas provides flexibility in what operating systems it can run on, but it isn’t as simple to implement and use for Windows users compared to Azure Cosmos DB. Additionally, while MongDB Atlas can scale as businesses grow, it isn’t completely automated like Azure Cosmos DB is. MongoDB Atlas may not be a good choice for a growing business without the resources to support it.
Azure Cosmos DB is a good choice for Windows users, but it can’t run on other operating systems, so Mac or Linux users may need to look elsewhere. Similarly, Azure Cosmos DB doesn’t support as many programming languages as MongoDB Atlas, it is missing several languages, including some popular ones such as Ruby. Lastly, Azure Cosmos DB doesn’t support file types as large as MongoDB Atlas.
Pricing
Pricing for both Azure Cosmos DB and MongoDB Atlas depends on factors such as number of clusters, as well as cloud provider. Both offer a free option for small storage needs. Businesses can use these free versions to test each product before committing to a purchase.
Features
Azure Cosmos DB
MongoDB Atlas
Database-as-a-Service
Comparison of Database-as-a-Service features of Azure Cosmos DB and MongoDB Atlas
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.
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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
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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
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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.
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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.
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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
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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.
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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.
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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
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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.
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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
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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.
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
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.
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
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
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
