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Microsoft Azure Cosmos DB vs vCloud Air comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Azure Cosmos DB
Ranking in Database as a Service (DBaaS)
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
109
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (1st), Vector Databases (1st)
vCloud Air
Ranking in Database as a Service (DBaaS)
19th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
3
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (21st)
 

Mindshare comparison

As of May 2026, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure Cosmos DB is 4.8%, up from 1.6% compared to the previous year. The mindshare of vCloud Air is 2.0%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Cosmos DB4.8%
vCloud Air2.0%
Other93.2%
Database as a Service (DBaaS)
 

Featured Reviews

reviewer2724105 - PeerSpot reviewer
Senior Director of Product Management at a tech vendor with 1,001-5,000 employees
Provides super sharp latency, excellent availability, and the ability to effectively manage costs across different tenants
For integrating Microsoft Azure Cosmos DB with other Azure products or other products, there are a couple of challenges with the current system. Right now, the vectors are stored as floating-point numbers within the NoSQL document, which makes them inefficiently large. This leads to increased storage space requirements, and searching through a vast number of documents in the vector database becomes quite costly in terms of RUs. While the integration works well, the expense associated with it is relatively high. I would really like to see a reduction in costs for their vector search, as it is currently on the expensive side. The areas for improvement in Microsoft Azure Cosmos DB are vector pricing and vector indexing patterns, which are unintuitive and not well described. I would also like to see the parameters of Fleet Spaces made more powerful, as currently, it's somewhat lightweight. I believe they've made those changes intentionally to better understand the cost model. However, we would like to take a more aggressive approach in using it. One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document. Additionally, you must specify the configuration of that vector when you create an instance of Microsoft Azure Cosmos DB. Once the database is set up, you can't change the vector configuration, which is incredibly limiting for experimentation. You want the ability to try different settings and see how they perform, as there are numerous use cases for storing more than one vector in a document. While interoperability within the vector database is acceptable—for example, I can search for vectors—I still desire a richer set of configuration options.
SC
Director Solutions Architect - EMEA & APAC at Blue Medora
With the VPC, you can run your workloads in an active state, use it for development work and for hosting SQL/Exchange Servers in IaaS; RaaS/DaaS for DR activities.
All three components of the vCloud Air are equally valuable and important, i.e., IaaS, DaaS and RaaS. I like the Virtual Private Cloud (VPC) offering compared to the Dedicated Cloud. It gives me the flexibility to utilize the pay-as-you-go option. You can run your workloads in an active state at reasonable prices. I have seen lots of companies use it for their development work, as well as for hosting SQL and Exchange Servers, i.e., in the active-passive mode instead of Replication (RaaS). Disaster Recovery is also a great feature that is affordable and easy to use. Disaster Recovery is a great component of the vCloud Air, where you can protect the on-premises cloud infrastructure, by providing self-service recovery options using the vSphere Replication. Some of the features that really stand out and I have used in my projects are: * Direct Connect: It provides high speed and private line connectivity. * Offline Data Transfer: For encrypted bulk data transport.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Reading and inserting data into Microsoft Azure Cosmos DB is a very smooth process."
"Microsoft Azure Cosmos DB's most valuable feature is latency."
"Microsoft Azure Cosmos DB is very fast. Data retrieval and data storage are very quick."
"The graphical representation of data is the most valuable feature of the solution."
"The fact that scalability can be achieved by simply configuring availability zones is very attractive."
"Microsoft Azure Cosmos DB simplifies the process of saving and retrieving data."
"Specifically, we are using the MongoDB API, so we leverage it in that way. I like the flexibility that it offers. My team does not have to spend time building out database tables. We can get going fairly quickly with being able to read and write data into a MongoDB collection that is hosted inside Azure Cosmos 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."
"The Cloud DRaaS solution provided the organization with new levels of flexibility and cost control, together with rapid expansion capability."
"VMware Workstation has an interesting feature to manage vSphere infrastructure (and also stand-alone ESXi hosts) that is really powerful and useful, for example to avoid to install the vSphere client (or the integration plugin) just to open one VM console or to change the power status for some VM."
"This is the part that should be making admins and CIOs smile."
 

Cons

"Overall, it works very well and fits the purpose regardless of the target application. However, by default, there is a threshold to accommodate bulk or large requests. You have to monitor the Request Units. If you need more data for a particular query, you need to increase the Request Units."
"I would like to see Cosmos DB introduce a feature that would convert machine language to human-readable queries."
"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high — and because of the stability issues."
"We expect Cosmos DB to lead on that. There is potential for improved security features, which is important for data storage, especially for Dell Technologies."
"From about half a billion rows, we're returning maybe 20,000 in two or three minutes. We don't know why, but we are working with Microsoft and a third party to figure that out."
"Because there is no local way of doing things, Azure Cosmos DB will always be considered expensive."
"It doesn't support all databases."
"The size of the continuation token in Azure Cosmos DB should be static rather than increasing with more data, as it can lead to application crashes."
"It’s a really good idea, but the current implementation is very limited: you can simply see your VMs and just open the VM console."
"I feel the user interface/portal can be improved further. I did experience timeout issues and the UI was performing slowly at times."
"I don’t think it is quite where EC2 is with regard to capabilities and features but VMware is investing a lot in vCloud Air."
 

Pricing and Cost Advice

"The RU's use case determines our license fees."
"Microsoft Azure Cosmos DB's licensing costs are monthly."
"Right now, I have opted for the student subscription plan, for which Microsoft charges me around 100 USD. The pricing of the solution depends on the solution's usage."
"The price of Microsoft Azure Cosmos DB could be a bit lower."
"You need to understand exactly the details of how the pricing works technically to stay within reasonable pricing."
"I would rate Cosmos DB's cost at seven out of ten, with ten being the highest."
"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."
"The customer had a high budget, but it turned out to be a little bit cheaper than what they expected. I am not sure how much they have spent so far, but they are satisfied with the pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Legal Firm
12%
Comms Service Provider
9%
Manufacturing Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise22
Large Enterprise58
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?
Microsoft Azure Cosmos DB's pricing model has aligned with my budget expectations because I can tune the RU as I need to, which helps a lot. Microsoft Azure Cosmos DB's dynamic auto-scale or server...
What needs improvement with Microsoft Azure Cosmos DB?
I have not utilized Microsoft Azure Cosmos DB multi-model support for handling diverse data types. I'm not in the position to decide if clients will use Microsoft Azure Cosmos DB or any other datab...
What is your primary use case for Microsoft Azure Cosmos DB?
We have a very large team of developers who develop a solution for our customers. In the part where they need some infrastructure on Microsoft Azure, we deploy entire environments of different type...
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Also Known As

Microsoft Azure DocumentDB, MS Azure Cosmos DB
No data available
 

Overview

 

Sample Customers

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
Lumeta, LifeSite, Clear Tec Solutions, National Physician Services, Queens University of Charlotte, California Natural Resources Agency, Pacific Disaster Center, Seventy Seven Energy Inc., Columbia Sportswear , CSS Corp
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS). Updated: April 2026.
893,244 professionals have used our research since 2012.