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.
"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."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"Cosmos DB is stable and easy to use."
"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."
"The most valuable features of Microsoft Azure Cosmos DB were the general infrastructure, ease to use, and interface."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"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 is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."
"The solution is extremely user-friendly and easy to navigate."
"With Azure you can start small and grow as you need."
"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."
"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."
"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."
"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."
"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."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"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."
"Better documentation on how to integrate with other components would be helpful because I was struggling with this."
"The API compatibility has room for improvement, particularly integration with MongoDB. You have to connect to a specific flavor of MongoDB. We'd also like a richer query capability in line with the latest Mongo features. That is one thing on our wish list. The current version is good enough for our use case, but it could 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."
"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."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 3 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 9 reviews. Amazon DynamoDB is rated 7.4, while Microsoft Azure Cosmos DB is rated 8.0. The top reviewer of Amazon DynamoDB writes "Good scalability, low subscription cost, and meets our requirements". On the other hand, the top reviewer of Microsoft Azure Cosmos DB writes "It has various APIs that allow it to integrate with other solutions". Amazon DynamoDB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Amazon Timestream, Amazon Neptune and Oracle NoSQL Database Cloud, whereas Microsoft Azure Cosmos DB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud. See our Amazon DynamoDB vs. Microsoft Azure Cosmos DB report.
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