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ClickHouse vs Microsoft Azure Cosmos DB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 2025

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

ClickHouse
Ranking in Vector Databases
11th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
11
Ranking in other categories
Open Source Databases (6th)
Microsoft Azure Cosmos DB
Ranking in Vector Databases
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
101
Ranking in other categories
Database as a Service (DBaaS) (6th), NoSQL Databases (5th), Managed NoSQL Databases (1st)
 

Mindshare comparison

As of July 2025, in the Vector Databases category, the mindshare of ClickHouse is 3.8%, up from 1.4% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 4.0%. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Aswini Atibudhi - PeerSpot reviewer
Provides real-time data insights with high flexibility and responsive support
The basic challenge for ClickHouse is the documentation, which isn't ideal, but it's mature and stable with more columnar storage, compression, and parallel processing, making it the best for OLAP. In terms of improvements, it's not designed for very frequent small writes, making it less scalable in write-intensive workloads, and it's not flourishing in transactional use cases or when ingesting streaming data, such as batching or buffering, which is something ClickHouse will improve.
MichaelJohn - PeerSpot reviewer
Very efficient for application-facing scenarios
There are several areas for improvement. Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally. Although, I know there is a free tier and so on and so forth, having a local environment would be nice. For example, SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB. The second improvement area is the IDE of choice. That means how you interact with Azure Cosmos DB. For example, with SQL Server, you have SQL Server Management Studio. I know there is a little bit of support for Azure Cosmos DB in Azure Data Studio, but it is not heavily advertised or it does not feel like first-class citizen support. Developer experience or developer tooling is missing in terms of interacting with the database. Better developer tools or an IDE for interacting with Azure Cosmos DB would enhance the developer experience. Lastly, there is some mixed messaging about what Azure Cosmos DB is, given its multiple APIs. There are so many Azure Cosmos DB APIs available. There is NoSQL. There are MongoDB, Gremlin, and others. There is still some mixed messaging for others who are new to Azure Cosmos DB about what Azure Cosmos DB is. Is this like MongoDB, but then there is also MongoDB in Azure Cosmos DB? I know it well, and I know that the default one is just NoSQL, but others I have interacted with over the last ten years or so get confused.

Quotes from Members

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

Pros

"The tool is column-based and infinitely scalable."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"The best thing about the tool is that I can set it up on my computer and run queries without depending on the cloud. This is why I use it every day."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"ClickHouse is very easy to use; one of the good features is that it has joins, which were not present in Druid, and Druid was quite expensive, especially with our applications at Sam's Club utilizing ClickHouse very quickly."
"It's easier to work with big data and calculations using the product."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"It gives us a lot of flexibility. The scaling is instantaneous as well. You immediately have all the resources available."
"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."
"Latency and availability are incredible."
"Microsoft Azure Cosmos DB simplifies the process of saving and retrieving data."
"What I appreciate most are the latency and the access, which are guaranteed by the tool, which is really impressive."
"The speed is impressive, and integrating our power-up database with Kafka was an improvement."
"The querying language and the SDKs they've provided over the years have been phenomenal, giving us a significant advantage."
"From a global distribution perspective, Microsoft Azure Cosmos DB is good and easy to handle."
 

Cons

"We had a lot of troubles while deploying a whole cluster."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"There aren't too many improvements I'd suggest for ClickHouse as it covers all my needs. There are just a few technical issues. For example, sometimes, when you want to get unique values and use certain tables, they don't work as expected. But it's not a major problem."
"There are some areas where ClickHouse could improve. Specifically, we encountered incompatibilities with its SQL syntax when migrating queries from MySQL or SQL to ClickHouse. This difference in details made it challenging to figure out the exact issues. Additionally, we faced difficulties due to the lack of a proper Django driver for ClickHouse, unlike MySQL, which Django supports out of the box."
"In terms of improvements, it's not designed for very frequent small writes, making it less scalable in write-intensive workloads, and it's not flourishing in transactional use cases or when ingesting streaming data, such as batching or buffering, which is something ClickHouse will improve."
"I would like ClickHouse to work more on integration with third-party tools."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"A further simple application is required for Brazil."
"The UI needs enhancement. Unlike SQL, Cosmos DB's UI is not as straightforward, making it a bit challenging to use efficiently."
"We had some performance issues with a data segregation query. We worked closely with Microsoft to solve the problem of performance where, for example, one query had a delay of almost two or three minutes for this one use case. Microsoft tried to improve the product, but in the end, the solution was to change to MongoDB. MongoDB had better performance."
"Areas of improvement for Microsoft Azure Cosmos DB include indexing. While it makes data retrieval easier, it also increases costs."
"Azure Cosmos DB is generally a costly resource compared to other Azure resources. It comes with a high cost."
"There should be a simpler way for data migration."
"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."
"The query searching functionality has some complexities and could be more user-friendly. Improvements in this area would be very helpful."
 

Pricing and Cost Advice

"ClickHouse has an open-source version, which is free to use and has almost all the features."
"For pricing, if you use the self-hosted version, it would be free. Cloud services pricing would be an eight out of ten. I try to minimize costs but still have to monitor usage."
"The tool is free."
"We used the free, community version of ClickHouse."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"The tool is open-source."
"It is cost-effective. They offer two pricing models. One is the serverless model and the other one is the vCore model that allows provisioning the resources as necessary. For our pilot projects, we can utilize the serverless model, monitor the usage, and adjust resources as needed."
"It seems to have helped significantly. We were using a different database system previously, and one of the reasons for acquiring Microsoft Azure Cosmos DB was cost."
"Microsoft provides fair pricing."
"Microsoft Azure Cosmos DB's licensing costs are monthly."
"From a startup point of view, it appears to be expensive. If I were to create my startup, it would not have the pricing appeal compared to the competition, such as Supabase. All those other databases are well-advertised by communities. I know there is a free tier with Azure Cosmos DB. It is just not well advertised."
"The pricing for Microsoft Azure Cosmos DB is good. Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective."
"Cosmos DB is a managed offering, so its cost is understandably higher."
"If you are a small organization or startup building from scratch without the Microsoft Startup Founder Club support, it could be expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
17%
Educational Organization
10%
Manufacturing Company
9%
Legal Firm
13%
Comms Service Provider
10%
Financial Services Firm
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
ClickHouse is open source without direct fees, unlike other databases that have hidden fees or restrict hosting to their platforms. The open-source nature of ClickHouse allows for complete flexibil...
What needs improvement with ClickHouse?
The basic challenge for ClickHouse is the documentation, which isn't ideal, but it's mature and stable with more columnar storage, compression, and parallel processing, making it the best for OLAP....
What is your primary use case for ClickHouse?
I have experience in ClickHouse ( /products/clickhouse-reviews ), and we also use Apache Druid ( /products/druid-reviews ), which has corporate support from Druid ( /products/druid-reviews ), along...
What do you like most about Microsoft Azure Cosmos DB?
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.
What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?
Pricing is a complex process at the enterprise level. While I'm not handling the pricing directly, through stakeholder meetings and conversations, we understood that having everything in a single p...
What needs improvement with Microsoft Azure Cosmos DB?
The only area Microsoft Azure Cosmos DB can improve on is its documentation; while it is solid and very useful, enhancements in the indexing documentation would help users save costs and make it mo...
 

Also Known As

No data available
Microsoft Azure DocumentDB, MS Azure Cosmos DB
 

Overview

 

Sample Customers

Information Not Available
TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
Find out what your peers are saying about ClickHouse vs. Microsoft Azure Cosmos DB and other solutions. Updated: July 2025.
864,053 professionals have used our research since 2012.