We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"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."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"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."
"The solution is extremely user-friendly and easy to navigate."
"Cosmos DB is stable and easy to use."
"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."
"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 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."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"Better documentation on how to integrate with other components would be helpful because I was struggling with this."
"Its subscription cost is lower than similar databases offered by other vendors."
"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."
"There is a licensing fee."
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.
DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. As a schema-free NoSQL database, DocumentDB provides rich and familiar SQL query capabilities with consistent low latencies on JSON data - ensuring that 99% of your reads are served under 10 milliseconds and 99% of your writes are served under 15 milliseconds. These unique benefits make DocumentDB a great fit for web, mobile, gaming, and IoT, and many other applications that need seamless scale and global replication.
Amazon DynamoDB is ranked 1st in Managed NoSQL Databases with 2 reviews while Microsoft Azure Cosmos DB is ranked 2nd in Managed NoSQL Databases with 4 reviews. Amazon DynamoDB is rated 8.0, 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 " Provides single-digit millisecond response times but struggles with large amounts of data". Amazon DynamoDB is most compared with Amazon Timestream, Google Cloud Bigtable, Amazon DocumentDB, Amazon Neptune and Oracle NoSQL Database Cloud, whereas Microsoft Azure Cosmos DB is most compared with Amazon Timestream, Google Cloud Bigtable, Amazon Neptune, Amazon DocumentDB and Oracle NoSQL Database Cloud. See our Amazon DynamoDB vs. Microsoft Azure Cosmos DB report.
See our list of best Managed NoSQL Databases vendors.
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.