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.
"The technical support team is always available to help us."
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"Offers a vital query-handling feature"
"Capable of auto-scaling and integrates easily with other tools"
"The most valuable features are the flexibility and the compatibility options without needing to use any additional services or software. It is an independent solution that doesn't need other solutions to operate."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"The solution is very simple to use."
"The platform is easy to develop and configure."
"Microsoft Azure Cosmos DB is easy to use and implement for application programmers."
"It is a cloud-based solution that is easy to deploy, easy to access, and provides users with more features compared to other clouds like AWS and GCP."
"Microsoft Azure Cosmos DB's most valuable feature is latency."
"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."
"It is a scalable product."
"Cosmos DB is a pretty stable solution. I would rate it a ten out of ten."
"It is a NoSQL database."
"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"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 response time for data queries should be less than a second"
"Data integrity across availability zones would be a valuable addition. Currently, DynamoDB provides eventual consistency across availability zones, but strong consistency would be beneficial for certain use cases."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"Sometimes when we query through the UI, it takes a long time to get the results."
"It would be nice to have some AI features in DynamoDB."
"The query is a little complex. SQL server should have more options. But the query should be better."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"The support tickets are not cheap."
"The solution cannot join two databases like Oracle or SQL Server."
"Better documentation on how to integrate with other components would be helpful because I was struggling with this."
"Sometimes, the solution's access request takes time, which should be improved."
"I would like the speed of transferring data to be improved."
"The initial setup was difficult."
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.
See our list of best Managed NoSQL Databases vendors.
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.