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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
102
Ranking in other categories
Database as a Service (DBaaS) (5th), NoSQL Databases (2nd), Managed NoSQL Databases (1st)
 

Mindshare comparison

As of September 2025, in the Vector Databases category, the mindshare of ClickHouse is 4.0%, up from 1.7% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 4.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Microsoft Azure Cosmos DB4.8%
ClickHouse4.0%
Other91.2%
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

"We faced a challenge with deploying ClickHouse onto Kubernetes. Recently, we've been using ClickHouse Cloud, and the main issue is the high cost of the cloud service. The pricing isn't very competitive, especially for startups. I would instead buy a server and self-host if I have enough disk space. Besides that, ClickHouse has done very well, with clear goals and effective execution."
"If you have a real-time basis, you should take a look at ClickHouse because it works on a vector database, and the querying is super fast compared to traditional databases."
"It's easier to work with big data and calculations using the product."
"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."
"The tool is column-based and infinitely scalable."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"What I appreciate most are the latency and the access, which are guaranteed by the tool, which is really impressive."
"Switching to the cloud significantly improved scalability, flexibility, and uptime."
"The searching capability is exceptional. It is very simple and incomparable to competitors."
"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."
"Azure Cosmos DB offers efficient indexing and low search latency, making searching fast and efficient and ensuring peace of mind in database operations."
"I would rate Microsoft Azure Cosmos DB a ten out of ten."
"Our customer is very satisfied with it."
"In Microsoft Azure Cosmos DB, one valuable feature is its ability to store data in multiple regions. If one region fails, it automatically switches to a healthy region, ensuring minimal latency and disaster recovery without impacting data latency in applications."
 

Cons

"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."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"Initially, I faced challenges integrating ClickHouse, particularly with inserting data from ActiveMQ, which caused duplicates. However, after adjusting the ClickHouse settings, the issue was resolved and there were no more duplicates."
"The aggregation capability is a valuable feature. It's highly efficient, allowing us to review entire transaction histories and user activities in the market. We've tried MongoDB, Postgres, MariaDB, and BigQuery, but ClickHouse is the most cost-efficient solution for collecting data at high speeds with minimal cost. We even used ClickHouse Cloud for a month, and it proved to be a great setup, especially for startups looking to handle big data. For example, if there is a need for 2-4 terabytes of data and around 40 billion rows with reasonable computing speed and latency, ClickHouse is ideal. Regarding the real-time query performance of ClickHouse, when using an API server to query it, I achieved query results in less than twenty milliseconds in some of my experiments with one billion rows. However, it depends on the scenario since ClickHouse has limitations in handling mutations. Additionally, one of ClickHouse's strengths is its compression capability. Our experimental server has only four terabytes, and ClickHouse effectively compresses data, allowing us to store large amounts of data at high speed. This compression efficiency is a significant advantage of using ClickHouse."
"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."
"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."
"Azure Cosmos DB for NoSQL has a less developed interface and fewer SQL commands than MongoDB, and its community support is also smaller."
"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. They should use a static key size."
"I would like to see Cosmos DB introduce a feature that would convert machine language to human-readable queries."
"In Microsoft manufacturing, managers really need to know about the product."
"It should offer a simple user interface for querying Microsoft Azure Cosmos DB."
"We'd like to avoid full DR replication if possible, as this would result in significant cost savings."
"The model with autoscaling for RU is complicated to optimize RU consumption."
"Because there is no local way of doing things, Azure Cosmos DB will always be considered expensive."
 

Pricing and Cost Advice

"The tool is free."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"The tool is open-source."
"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."
"We used the free, community version of ClickHouse."
"Its pricing is not bad. It is good."
"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."
"Cosmos DB is a highly cost-optimized solution when used correctly."
"Pricing is one of the solution's main features because it is based on usage, scales automatically, and is not too costly."
"Its pricing structure is quite flexible."
"Pricing, at times, is not super clear because they use the request unit (RU) model. To manage not just Azure Cosmos DB but what you are receiving for the dollars paid is not easy. It is very abstract. They could do a better job of connecting Azure Cosmos DB with the value or some variation of that."
"You need to understand exactly the details of how the pricing works technically to stay within reasonable pricing."
"It's expensive. I would rate it a seven out of ten for pricing."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
17%
Educational Organization
9%
Manufacturing Company
9%
Legal Firm
13%
Financial Services Firm
10%
Comms Service Provider
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise5
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
 

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?
The pricing for Microsoft Azure Cosmos DB is good, but there is a developer factor to consider. It could be economical or expensive depending on usage. Guidance about query consumption of Request U...
What needs improvement with Microsoft Azure Cosmos DB?
In terms of improvement for Microsoft Azure Cosmos DB, while it eliminates the burden of managing database infrastructure, we realized it might not be possible to use various models simultaneously ...
 

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
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