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."The platform is easy to develop and configure."
"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"It is a NoSQL product."
"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."
"The solution is highly scalable."
"Microsoft Azure Cosmos DB's most valuable feature is latency."
"What I like about Microsoft Azure Cosmos DB is that it's easy to do data ingestion and use the data in different applications. If you talk about business intelligence such as the Power BI tool, it's easy to connect because both are Microsoft products. With Microsoft Azure Cosmos DB, it's easy to connect and do data ingestion."
"Cosmos DB is a pretty stable solution. I would rate it a ten out of ten."
"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."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"It's highly scalable and supports consistency, security, and multiple security options."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"The documentation is not good enough."
"The solution has size limitations. It also needs to be more user-friendly."
"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 design patterns and the documentation for this solution could be improved. In a future release, we would like to see an improvement of the data push options as we sometimes experience blockers when moving data."
"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."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"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."
"A further simple application is required for Brazil."
"The integration of the on-premise solution with the cloud can be difficult sometimes."
"At this stage, we would like more enterprise support. We use MongoDB a lot, and we're trying to get rid of MongoDB. So, I would like to see more features in the Cosmos DB API for MongoDB space."
"The query is a little complex. SQL server should have more options. But the query should be better."
"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."
"The support tickets are not cheap."
"Its stability can be further improved."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 24 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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