We performed a comparison between Amazon DocumentDB 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."Amazon DocumentDB is a simple solution."
"Migrations are easy using this product."
"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."
"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."
"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."
"It is a scalable product."
"The most valuable feature of the solution is that it is scalable with multiple master files."
"Microsoft Azure Cosmos DB is fast, and its performance is good compared to normal SQL DB."
"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."
"rate Azure support nine out of 10. They respond quickly and will help you manage costs. However, they mainly give you an overview of the issue, so they'll never have an in-depth idea of what you're doing. They aren't the owners of our product, so they don't know much about it, but they can ask you generally: What are you doing? Are you doing too many updates? How can we reduce the cost?"
"There's a bit of a learning curve at the beginning."
"The technical support could be improved."
"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."
"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."
"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."
"There is room for improvement in terms of stability."
"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."
"It should offer a simple user interface for querying Microsoft Azure Cosmos DB."
"I hope they improve the service. Before last year, improvements on Cosmos DB were very slow."
"The query is a little complex. SQL server should have more options. But the query should be better."
"It is not as easy to use as DynamoDB."
Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 3 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 38 reviews. Amazon DocumentDB is rated 8.4, while Microsoft Azure Cosmos DB is rated 8.0. The top reviewer of Amazon DocumentDB writes "Offers the ability to replicate data across different instances". 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 DocumentDB is most compared with Amazon DynamoDB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Microsoft Azure Cosmos DB is most compared with Amazon Neptune, Amazon DynamoDB, Neo4j AuraDB, Google Cloud Bigtable and Amazon Timestream. See our Amazon DocumentDB 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.
