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 solution is very simple to use."
"It is a NoSQL product."
"The technical support team is always available to help us."
"It has helped us build our product from zero point to the end."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"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 allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"The platform is easy to develop and configure."
"Since it's a managed service, Azure backend handles scalability. From a user's perspective, we don't need to worry about scalability."
"I would recommend Cosmos. It made our lives a lot easier. There's not a big learning curve in order to understand the structure and how to use it."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"The solution's read capacity and write access functions are very fast so users don't have to wait when fetching or displaying data on a screen."
"It's not a specific feature that I value, but the scalability of this system is the most impressive aspect."
"The biggest benefit it offers is scalability. It's easier to work with concurrency and updating data."
"The most valuable feature of the solution is that it is scalable with multiple master files."
"Microsoft Azure Cosmos DB's most valuable feature is latency."
"Sometimes when we query through the UI, it takes a long time to get the results."
"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."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"The pricing for larger databases is higher."
"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."
"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."
"The documentation is not good enough."
"The query is a little complex. SQL server should have more options. But the query should be better."
"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."
"I have been a devoted Microsoft fan, but Redis DB's memory caching capabilities are really making progress. Even if Cosmos DB is continuously improving and is quite advanced in the field of internal memory optimization, I would still recommend Redis DB to a customer."
"The pricing of the solution is an area with certain shortcomings."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
"It is not as easy to use as DynamoDB."
"I would like the speed of transferring data to be improved."
"I have to say technical support is not very good as it takes too long. Sometimes it can take them two or three days to respond to your ticket."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 29 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.
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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.
