Amazon DocumentDB vs Microsoft Azure Cosmos DB comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
1,964 views|1,500 comparisons
100% willing to recommend
Microsoft Logo
5,592 views|2,413 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon DocumentDB and Microsoft Azure Cosmos DB based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases.
To learn more, read our detailed Managed NoSQL Databases Report (Updated: April 2024).
769,599 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

More Amazon DocumentDB Pros →

"The solution is easy to use, and it is also easy to integrate with several things for database use cases.""The graphical representation of data is the most valuable feature of the solution.""From a global distribution perspective, Microsoft Azure Cosmos DB is good and easy to handle.""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.""Cosmos DB is stable and easy to use.""Microsoft Azure Cosmos DB is fast, and its performance is good compared to normal SQL DB.""With Azure you can start small and grow as you need.""It is non-SQL and helps to manage and manipulate data from the coding, rather than direct data and complex queries."

More Microsoft Azure Cosmos DB Pros →

Cons
"There's a bit of a learning curve at the beginning.""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."

More Amazon DocumentDB Cons →

"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.""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 hope they improve the service. Before last year, improvements on Cosmos DB were very slow.""The biggest problem is the learning curve and other database services like RDS.""A further simple application is required for Brazil.""It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible.""The built-in integration of the solution is tight.""I have been a devoted Microsoft fan, but Redis DB's memory caching capabilities are really making progress. Even if Cosmos DB is continuously improving and is quite advanced in the field of internal memory optimization, I would still recommend Redis DB to a customer."

More Microsoft Azure Cosmos DB Cons →

Pricing and Cost Advice
Information Not Available
  • "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."
  • "Cosmos DB is a PaaS, so there are no upfront costs for infrastructure. There are only subscriptions you pay for Azure and things like that. But it's a PaaS, so it's a subscription service. The license isn't perpetual, and the cost might seem expensive on its face, but you have to look at the upkeep for infrastructure and what you're saving."
  • "The price of Microsoft Azure Cosmos DB could be a bit lower."
  • "The cost is the biggest limitation of this solution."
  • "Azure is a pay as you go subscription."
  • "The RU's use case determines our license fees."
  • More Microsoft Azure Cosmos DB Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.
    769,599 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are… more »
    Top Answer: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… more »
    Top Answer:The specific DocumentDB implementation we use is on the expensive side. We tend to use it strategically in complex systems, primarily for lookup capabilities. For simpler use cases, we often choose… more »
    Top Answer:The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.
    Top Answer:With heavy use, like a large-scale IoT implementation, you could easily hit a quarter of a million dollars a month in Azure charges if Cosmos DB is a big part of it.
    Top Answer:The downside is that Cosmos is new and fairly complex. There's a limited pool of talent who are really good at working with it. Because of that, I've been approached by recruiters quite a bit; they… more »
    Ranking
    4th
    Views
    1,964
    Comparisons
    1,500
    Reviews
    1
    Average Words per Review
    695
    Rating
    9.0
    1st
    Views
    5,592
    Comparisons
    2,413
    Reviews
    30
    Average Words per Review
    512
    Rating
    8.0
    Comparisons
    Also Known As
    Microsoft Azure DocumentDB, MS Azure Cosmos DB
    Learn More
    Overview

    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.

    Sample Customers
    Finra, The Washington Post, Freshop
    American Cancer Society, Exxon Mobil, Symantec
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm17%
    Manufacturing Company8%
    Insurance Company7%
    REVIEWERS
    Computer Software Company25%
    Manufacturing Company15%
    Financial Services Firm15%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm12%
    Retailer8%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise72%
    REVIEWERS
    Small Business26%
    Midsize Enterprise21%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise64%
    Buyer's Guide
    Managed NoSQL Databases
    April 2024
    Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 2 reviews while Microsoft Azure Cosmos DB is ranked 1st in Managed NoSQL Databases with 38 reviews. Amazon DocumentDB is rated 8.6, 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, Google Cloud Bigtable, Neo4j AuraDB and Amazon Timestream.

    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.