We compared Amazon DynamoDB and Microsoft Azure Cosmos DB based on our user's reviews across parameters. After reading all of the collected data, you can find our conclusion below.
Amazon DynamoDB and Microsoft Azure Cosmos DB, while both providing robust cloud database solutions, exhibit distinct features tailored to diverse user needs. DynamoDB, embedded within the AWS ecosystem, excels in managed scalability, security, and high availability but faces criticism over cost predictability and the steep learning curve for new users. Azure Cosmos DB stands out with its multi-model support and global distribution, offering flexibility and performance optimization across geographically dispersed areas. However, it also presents challenges with its complex pricing structure and steep learning curve. Both platforms indicate potential areas for improvement in cost transparency and user-friendly documentation, but they also maintain solid reputations for enhancing data management through their respective unique strengths.
The summary above is based on 53 interviews we conducted recently with Amazon DynamoDB and Microsoft Azure Cosmos DB users. To access the review's full transcripts, download our report.
"Capable of auto-scaling and integrates easily with other tools"
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."
"Offers a vital query-handling feature"
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"The possibility of managing documents is the most valuable aspect of the solution. I like the fact that I don't have to define the fields."
"Its wide support to the ecosystem is valuable. We can use this database with a lot of use cases, and that's one of the reasons why we prefer it. We have a lot of vendors, databases, and use cases, and wherever possible, we are trying to standardize databases. It is also secure."
"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."
"The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world."
"rate Azure support nine out of 10. They respond quickly and will help you manage costs. However, they mainly give you an overview of the issue, so they'll never have an in-depth idea of what you're doing. They aren't the owners of our product, so they don't know much about it, but they can ask you generally: What are you doing? Are you doing too many updates? How can we reduce the cost?"
"It is one of the simpler databases to work with in terms of code management, tracking, and debugging due to its straightforward data storage and retrieval mechanisms."
"The solution is highly scalable."
"The most valuable features of Microsoft Azure Cosmos DB were the general infrastructure, ease to use, and interface."
"One of the nice features is the ability to auto-scale"
"Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB."
"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."
"I initially faced issues with the solution's stability, performance, and security."
"The solution has size limitations. It also needs to be more user-friendly."
"The primary key is quite slow."
"The response time for data queries should be less than a second"
"The pricing of the solution is an area with certain shortcomings."
"Sometimes, the solution's access request takes time, which should be improved."
"The built-in integration of the solution is tight."
"The initial setup was difficult."
"It doesn't support all databases."
"The query is a little complex. SQL server should have more options. But the query should be better."
"The support tickets are not cheap."
"The integration of the on-premise solution with the cloud can be difficult sometimes."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 31 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 38 reviews. Amazon DynamoDB is rated 8.4, while Microsoft Azure Cosmos DB is rated 8.0. The top reviewer of Amazon DynamoDB writes "Manages our contact center dynamically and allows us to store multiple data attributes in tables". On the other hand, the top reviewer of Microsoft Azure Cosmos DB writes "Removes bottlenecks related to databases in our application and works quickly because of reference keys". Amazon DynamoDB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Microsoft Azure Cosmos DB is most compared with Amazon Neptune, Neo4j AuraDB, Google Cloud Bigtable, Amazon DocumentDB and Amazon Timestream. See our Amazon DynamoDB vs. Microsoft Azure Cosmos DB report.
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We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.