We performed a comparison between Amazon DynamoDB and Microsoft Azure Cosmos DB based on real PeerSpot user reviews.
Find out in this report how the two Managed NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It is a NoSQL product."
"The solution is very simple to use."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"It has helped us build our product from zero point to the end."
"We switched to DynamoDB from a relational database that would've had scale problems and would've cost a lot of money to run at scale. DynamoDB allows us to match expense to usage. When not many people are using and it's a quiet day, there is a low cost. On a busy day, there is a higher cost. We get good performance along the way and less maintenance on the database."
"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."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"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."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"From a global distribution perspective, Microsoft Azure Cosmos DB is good and easy to handle."
"Cosmos DB is a pretty stable solution. I would rate it a ten out of ten."
"The solution is stable."
"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 graphical representation of data is the most valuable feature of the solution."
"The solution is highly scalable."
"Microsoft Azure Cosmos DB is easy to use and implement for application programmers."
"Sometimes when we query through the UI, it takes a long time to get the results."
"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 has size limitations. It also needs to be more user-friendly."
"It would be nice to have some AI features in DynamoDB."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"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."
"A couple features that would help me in architectural solutions would be customizable architecture or customizable documentation, which both Microsoft Azure or Microsoft Teams can provide."
"Its stability can be further improved."
"It would be nice to have more options to ingest the data, for example, more file options or more search options. Currently, you can use JSON, but if there were other file types you can use for data ingestion, that would be nice."
"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."
"The built-in integration of the solution is tight."
"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."
"The tool's pricing is expensive."
"I would like to see Cosmos DB introduce a feature that would convert machine language to human-readable queries."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 28 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 "A 10/10 solution with effective transaction-based pricing and stable millisecond response time". 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, Amazon DocumentDB, Neo4j AuraDB and Amazon Timestream. See our Amazon DynamoDB vs. Microsoft Azure Cosmos DB report.
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