We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Migrations are easy using this product."
"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."
"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."
"There's a bit of a learning curve at the beginning."
"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."
"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."
"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."
"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.
Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.
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 DocumentDB is ranked 4th in Managed NoSQL Databases with 1 review while Microsoft Azure Cosmos DB is ranked 2nd in Managed NoSQL Databases with 5 reviews. Amazon DocumentDB is rated 8.0, while Microsoft Azure Cosmos DB is rated 8.2. The top reviewer of Amazon DocumentDB writes "Pretty scalable with good documentation and has an easy migration process". 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 DocumentDB is most compared with Amazon DynamoDB, Amazon Neptune and Amazon Timestream, whereas Microsoft Azure Cosmos DB is most compared with Amazon DynamoDB, Amazon Timestream, Google Cloud Bigtable, Amazon Neptune and Oracle NoSQL Database Cloud.
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.