Amazon DynamoDB vs. Azure Cosmos DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.9 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Azure Cosmos DB
Score 8.4 out of 10
N/A
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.N/A
Pricing
Amazon DynamoDBAzure Cosmos DB
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
No answers on this topic
Offerings
Pricing Offerings
Amazon DynamoDBAzure Cosmos DB
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon DynamoDBAzure Cosmos DB
Considered Both Products
Amazon DynamoDB
Chose Amazon DynamoDB
MongoDB is mostly document store while Amazon DynamoDB supports both key/value and document store making it more versatile. Azure Cosmos DB is multi-modal like Amazon DynamoDB and it makes more sense when you have data already in Azure Cloud. If you are mostly using AWS then …
Chose Amazon DynamoDB
MongoDB vs. Amazon DynamoDB:• MongoDB requires more human management than DynamoDB, which is a fully managed service.• DynamoDB's scalability is automatic, whereas MongoDB's horizontal scaling may require more work.• When compared to DynamoDB, MongoDB offers more extensive data …
Chose Amazon DynamoDB
Compare to other products its so easier to set up, meeting all of our business requirements and easy usable, highly efficient and scalable.
Chose Amazon DynamoDB
high scalability #single-digit latency. #so much flexile. #very easy to use. # low maintenance.#GLobal Access
Chose Amazon DynamoDB
cosmos user interface is not that much good in comparision with dynamodb also the response time compares with dynamodb is high.
Chose Amazon DynamoDB
Teams at our company briefly looking into other cloud services and we even have a feature using Azure, but Amazon DynamoDB ultimately was selected as it was easier for our company to just work with one suite of web services.
Chose Amazon DynamoDB
I didn't select it over MongoDB or Azure DocumentDB. In fact, we use all three. We let the developers make the choice.
Chose Amazon DynamoDB
When we were selecting for a server-less NoSQL solution, we had two option either to go with Cosmos or with Dynamo. Cosmos has a few great features, but in Cosmos, we need to provision at least 400 RU (request unit), which will make a single table cost at least 24$/month. While …
Azure Cosmos DB
Chose Azure Cosmos DB
Because we often use Microsoft products for large corporate projects and other customer projects, and compatibility and integration are important to us, we used this platform, which in addition to very high security, has a very good response speed, also, building modern …
Top Pros
Top Cons
Features
Amazon DynamoDBAzure Cosmos DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
70 Ratings
5% above category average
Azure Cosmos DB
9.8
7 Ratings
11% above category average
Performance9.269 Ratings10.07 Ratings
Availability9.470 Ratings10.07 Ratings
Concurrency8.868 Ratings10.07 Ratings
Security9.070 Ratings10.07 Ratings
Scalability9.469 Ratings10.07 Ratings
Data model flexibility8.667 Ratings9.07 Ratings
Deployment model flexibility10.023 Ratings10.07 Ratings
Best Alternatives
Amazon DynamoDBAzure Cosmos DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBAzure Cosmos DB
Likelihood to Recommend
8.9
(80 ratings)
10.0
(7 ratings)
Likelihood to Renew
10.0
(34 ratings)
7.6
(4 ratings)
Usability
8.4
(4 ratings)
8.8
(2 ratings)
Performance
9.1
(44 ratings)
-
(0 ratings)
Support Rating
6.4
(4 ratings)
9.2
(2 ratings)
Product Scalability
9.1
(44 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBAzure Cosmos DB
Likelihood to Recommend
Amazon AWS
It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
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Microsoft
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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Pros
Amazon AWS
  • To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
  • Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
  • We can use it for low scale operations.
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Microsoft
  • 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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Cons
Amazon AWS
  • Cost model may not be easy to control and may lead to higher costs if not carefully planned
  • Indexing may be a cost culprit when not planned, because it's not included on the data costs
  • The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.
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Microsoft
  • Expensive, so be careful of the use case.
  • 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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Likelihood to Renew
Amazon AWS
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
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Microsoft
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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Usability
Amazon AWS
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
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Microsoft
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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Performance
Amazon AWS
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
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Microsoft
No answers on this topic
Support Rating
Amazon AWS
I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.
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Microsoft
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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Alternatives Considered
Amazon AWS
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
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Microsoft
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.
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Scalability
Amazon AWS
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
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Microsoft
No answers on this topic
Return on Investment
Amazon AWS
  • Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
  • It has allowed us to add more scalability to some of our systems.
  • As with any new technology there was a ramp up/rework phase as we learned best practices.
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Microsoft
  • It's made managing raw data much easier
  • It provides a way to maintain raw data at a low cost
  • It's easy to massage the data
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ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console