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 best feature is NoSQL."
"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."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"Offers a vital query-handling feature"
"The solution is very simple to use."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"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."
"It works reasonably fast. You can retain the original format of the document as received by the third-party system."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"It is a scalable product."
"The most valuable feature of the solution is that it is scalable with multiple master files."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"Cosmos DB is stable and easy to use."
"The most valuable features for our organization with Azure Cosmos DB are multi-master capability for applications, automatic failover ensuring high availability, scalability, support for multiple data models, and low-latency access."
"Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"I initially faced issues with the solution's stability, performance, and security."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"There are some issues like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"The documentation is not good enough."
"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."
"The built-in integration of the solution is tight."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"The initial setup was difficult."
"I hope they improve the service. Before last year, improvements on Cosmos DB were very slow."
"I don't think Cosmos DB has improved our organization. People are using it, but I'm not sure it's the best solution. For one, it's costly. Also, there are other issues with it. You cannot get all the records simultaneously. You can only get it in chunks of 1,500 maximum."
"It's still new, and good training resources are harder to find. Even the most recent books on Cosmos DB are several years old, which is ancient in IT terms."
"Slight enhancements in integration interfaces, expanded dashboard functionalities, and broader use-case support would be beneficial."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
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, Google Cloud Bigtable, Neo4j AuraDB, 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.
