ClickHouse vs Microsoft Azure Cosmos DB comparison

ClickHouse and Microsoft are both solutions in the Vector Databases category. ClickHouse is ranked #7 with an average rating of 8.6, while Microsoft is ranked #1 with an average rating of 8.3. ClickHouse holds a 5.1% mindshare in VD, compared to Microsoft’s 5.9% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

ClickHouse

Read 21 ClickHouse reviews

4,435 Views
1,774 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 109 Microsoft Azure Cosmos DB reviews

10,961 Views
4,604 Comparison Views

95% willing to recommend

ClickHouse

Microsoft Azure Cosmos DB

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Microsoft Azure Cosmos DB and ClickHouse are competitors in the database solutions category. Cosmos DB may hold an advantage with its seamless integration within the Microsoft ecosystem, beneficial for businesses heavily invested in the Microsoft cloud environment.

Features: Microsoft Azure Cosmos DB distinguishes itself with robust auto-scaling, efficient change feed functionality, and low-latency querying, making it highly suitable for high-velocity applications and NoSQL models. It offers seamless integration with Microsoft tools like Power BI. ClickHouse shines in its OLAP capabilities, handling analytical queries and large datasets with speed and efficiency. Its columnar storage and compression techniques are advantageous for business intelligence tasks.

Room for Improvement: Microsoft Azure Cosmos DB needs improvements in backup and restore capabilities, documentation, and handling large-scale data analytics more efficiently. Additionally, its costly pricing models and complex partition management require addressing. ClickHouse faces challenges in documentation quality and lacks strong support for transactional workloads. Enhancements in third-party tool integration and easier setup, especially on non-Linux platforms, would be beneficial.

Ease of Deployment and Customer Service: Microsoft Azure Cosmos DB operates primarily as a public cloud solution with strong support offerings, although user experiences may vary based on the support tier. ClickHouse provides deployment flexibility across private, on-premises, and hybrid settings, but its self-service nature can complicate setup without expert guidance. It lacks centralized customer service, relying more on community resources.

Pricing and ROI: Microsoft Azure Cosmos DB's pay-as-you-go pricing model offers flexibility but can become costly if not optimized. It excels in scalability and global distribution, with planning required to avoid high costs. ClickHouse, being open-source, presents a cost-effective model, allowing significant savings on infrastructure. It provides excellent ROI in analytics and business intelligence, though cloud-based costs and deployment complexities need attention.

To learn more, read our detailed ClickHouse vs. Microsoft Azure Cosmos DB Report (Updated: February 2026).

Buyer's Guide

ClickHouse vs. Microsoft Azure Cosmos DB

February 2026

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Review summaries and opinions

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

ROI

Sentiment score

6.8

ClickHouse boosts productivity with cost and time savings, enhancing database performance and developer efficiency significantly despite unspecified savings.

Sentiment score

6.2

Organizations report cost savings and efficiency with Azure Cosmos DB, but some experience complexity and difficulty achieving expected savings.

I estimate we save four to five hours per person per week due to this efficiency, translating to around 20 to 25 hours saved monthly for each individual.

Raviteja Narayandasbangaru

AIML engineer at a tech services company with 11-50 employees

We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.

reviewer2784735

Founder at a tech services company with 11-50 employees

With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.

Aditya Aditya

Associate software architect at a tech services company with 11-50 employees

For more quotes and insights, download the ClickHouse report

Getting an MVP of that project would have taken six to eight months, but because we had an active choice of using Azure Cosmos DB and other related cloud-native services of Azure, we were able to get to an MVP stage in a matter of weeks, which is six weeks.

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

You can react quickly and trim down the specs, memory, RAM, storage size, etc. It can save about 20% of the costs.

Bernard Parinas

Co-Founder at arpa

When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.

Alexander Hughes

Solutions Architect at CompuNet

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Customer Service

Sentiment score

6.6

ClickHouse offers knowledgeable support, with cloud users praising responsiveness, while community resources aid open-source user self-reliance.

Sentiment score

6.7

Microsoft Azure Cosmos DB support is generally responsive, but experiences vary, with premium users often reporting better satisfaction.

If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.

reviewer2785038

Senior Data Engineer at a transportation company with 501-1,000 employees

When we faced any challenges, the ClickHouse support team provided helpful resolutions.

Raviteja Narayandasbangaru

AIML engineer at a tech services company with 11-50 employees

We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.

Aswini Atibudhi

Distinguished AI Leader at Walmart Global Tech at Walmart

For more quotes and insights, download the ClickHouse report

Premier Support has deteriorated compared to what it used to be, especially for small to medium-sized customers like ours.

reviewer2595951

Head of IT, Infrastructure, Operations & Applications Development at a manufacturing company with 201-500 employees

The response was quick.

Joel Hulen

Lead Cloud Architect at Solliance, Inc

I would rate customer service and support a nine out of ten.

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Scalability Issues

Sentiment score

8.1

ClickHouse is praised for its scalability, efficiently handling large data volumes in distributed systems with solutions like AWS and Kubernetes.

Sentiment score

7.7

Microsoft Azure Cosmos DB offers scalable, flexible solutions with efficient cost management, ideal for large enterprises, despite partition size limits.

The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.

Raviteja Narayandasbangaru

AIML engineer at a tech services company with 11-50 employees

ClickHouse is highly scalable.

ArpitShah

Software Analyst at CLSA

The scalability of ClickHouse is great.

reviewer2785134

Senior Software Engineer at a wholesaler/distributor with 1,001-5,000 employees

For more quotes and insights, download the ClickHouse report

The system scales up capacity when needed and scales down when not in use, preventing unnecessary expenses.

Hashir Ali Shuja

Associate Software Architect at a tech vendor with 51-200 employees

We like that it can auto-scale to demand, ensuring we only pay for what we use.

Tiago Duarte

CTO at Stellium Consulting

We have had no issues with its ability to search through large amounts of data.

reviewer2678751

Full Stack Software Developer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Stability Issues

Sentiment score

7.7

ClickHouse offers stable, efficient performance for large data sets, with some concerns about memory use and development inconsistencies.

Sentiment score

7.6

Microsoft Azure Cosmos DB offers high availability and reliability, with users praising its scalability, integration, and minimal downtime.

I can confidently say that it is very consistent and stable even when handling high volume loads and real-time streaming analytics across financial and operational domains.

Raviteja Narayandasbangaru

AIML engineer at a tech services company with 11-50 employees

ClickHouse handles large volumes of data efficiently.

ArpitShah

Software Analyst at CLSA

ClickHouse is stable, as we did not encounter stability issues in production.

reviewer2784981

Software Development Engineer at a tech vendor with 201-500 employees

For more quotes and insights, download the ClickHouse report

We have multiple availability zones, so nothing goes down.

reviewer2596239

Hands on user at a manufacturing company with 10,001+ employees

Azure Cosmos DB would be a good choice if you have to deploy your application in a limited time frame and you want to auto-scale the database across different applications.

HarshitGaur

Associate Data Analytics L1 at a computer software company with 10,001+ employees

I would rate it a ten out of ten in terms of availability and latency.

Aroosh Kumar

Azure Consultant at Deloitte

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.

Microsoft Azure Cosmos DB needs improvements in query complexity, API integration, performance, documentation, cost management, and user-interface enhancements.

Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.

ArpitShah

Software Analyst at CLSA

ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.

Hitaish Kumar

Senior Software Engineer at Karvy Fintech

My experience with ClickHouse's documentation is that it needs improvement; I think it can be made more beginner-friendly, while the community support is really good.

reviewer2784735

Founder at a tech services company with 11-50 employees

For more quotes and insights, download the ClickHouse report

We must ensure data security remains the top priority.

Mohamed Ait Salah

Cloud Solutions Architect and Microsoft Principal Consultant for EMEA at a tech vendor with 10,001+ employees

You have to monitor the Request Units.

Bernard Parinas

Co-Founder at arpa

The dashboard could include more detailed RU descriptions, IOPS, and compute metrics.

Fabien GOUINEAU

Architecte Cloud at Visiativ SA

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.

Azure Cosmos DB pricing varies, appreciated for scalability but seen as costly with high demand and complex environments.

My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.

reviewer2784735

Founder at a tech services company with 11-50 employees

ClickHouse is open source with no hidden fees, offering cost-effective data management.

ArpitShah

Software Analyst at CLSA

I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.

Raviteja Narayandasbangaru

AIML engineer at a tech services company with 11-50 employees

For more quotes and insights, download the ClickHouse report

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.

Joel Hulen

Lead Cloud Architect at Solliance, Inc

Cosmos DB is expensive, and the RU-based pricing model is confusing.

Christian Gomez Rua

IT Data Architect & Manager at Ternium Mexico S.A. de C.V.

Cosmos DB is great compared to other databases because we can reduce the cost while doing the same things.

Rusty Coulbourne

Lead Software Architect at CPower

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.

Microsoft Azure Cosmos DB is valued for scalability, ease of integration, global distribution, security, and support for diverse applications.

ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.

Hitaish Kumar

Senior Software Engineer at Karvy Fintech

For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.

reviewer2785038

Senior Data Engineer at a transportation company with 501-1,000 employees

ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.

Aditya Aditya

Associate software architect at a tech services company with 11-50 employees

For more quotes and insights, download the ClickHouse report

The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds.

reviewer2227599

Vice President, Machine Learning at a healthcare company with 10,001+ employees

Performance and security are valuable features, particularly when using Cosmos DB for MongoDB emulation and NoSQL.

Christian Gomez Rua

IT Data Architect & Manager at Ternium Mexico S.A. de C.V.

The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search.

Tiago Duarte

CTO at Stellium Consulting

For more quotes and insights, download the Microsoft Azure Cosmos DB report

Categories and Ranking

ClickHouse

Ranking in Vector Databases

7th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (3rd)

Microsoft Azure Cosmos DB

Ranking in Vector Databases

1st

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

109

Ranking in other categories

Database as a Service (DBaaS) (4th), NoSQL Databases (2nd), Managed NoSQL Databases (1st)

Mindshare comparison

As of March 2026, in the Vector Databases category, the mindshare of ClickHouse is 5.1%, up from 2.9% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 5.9%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Microsoft Azure Cosmos DB	5.9%
ClickHouse	5.1%
Other	89.0%

Vector Databases

Featured Reviews

reviewer2785038

Senior Data Engineer at a transportation company with 501-1,000 employees

Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup

ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.

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reviewer2724105

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.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

16%

Manufacturing Company

Educational Organization

Legal Firm

12%

Financial Services Firm

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	22
Large Enterprise	58

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?

My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...

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What needs improvement with ClickHouse?

ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...

See all answers

What is your primary use case for ClickHouse?

My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...

See all answers

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.

See all answers

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...

See all answers

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...

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MySQL vs ClickHouse

Compared 6% of the time

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MongoDB Atlas vs Microsoft Azure Cosmos DB

Compared 5% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

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Neo4j Graph Database vs Microsoft Azure Cosmos DB

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Product Reports

Buyer's Guide

ClickHouse

March 2026

Download ClickHouse product report

Buyer's Guide

Microsoft Azure Cosmos DB

March 2026

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.

ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.

What features make ClickHouse outstanding?

Speed and Scalability: Enables rapid deployment and scalability, particularly on Kubernetes.
SQL Compatibility: Aligns with SQL standards for flexible database management.
Column-based Structure: Offers efficient data compression and quick query performance.
Integration Support: Works with Kafka, Tableau, and other popular platforms.
Data Deduplication: Manages complex data duplication efficiently.

What benefits should users consider?

Cost-Efficiency: Reduces expenses while managing large datasets effectively.
Real-Time Analytics: Provides fast data processing for real-time insights.
Flexibility: Offers multiple integration points and compatibility options.
Robust Documentation: Backed by an active development community, ensuring comprehensive support.

ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.

ClickHouse

Microsoft Azure Cosmos DB offers scalable, geo-replicated, multi-model support with high performance and low latency. It provides seamless Microsoft service integration, benefiting those needing flexible NoSQL, real-time analytics, and automatic scaling for diverse data types and quick global access.

Azure Cosmos DB is designed to store, manage, and query large volumes of both unstructured and structured data. Its NoSQL capabilities and global distribution are leveraged by organizations to support activities like IoT data management, business intelligence, and backend databases for web and mobile applications. While its robust security measures and availability are strengths, there are areas for improvement such as query complexity, integration with services like Databricks and MongoDB, documentation clarity, and performance issues. Enhancements in real-time analytics, API compatibility, cross-container joins, and indexing capabilities are sought after. Cost management, optimization tools, and better support for local development also require attention, as do improvements in user interface and advanced AI integration.

What are the key features of Azure Cosmos DB?

Scalability: Effortlessly handles scaling for large workloads.
Geo-replication: Provides global data access with low latency.
Multi-model Support: Compatible with diverse data types.
NoSQL Flexibility: Offers a non-relational database experience.
Real-time Analytics: Facilitates data-driven decision-making.
Automation: Simplifies scaling and maintenance processes.

What benefits can users expect from Cosmos DB?

High Performance: Ensures rapid processing and low latency.
Ease of Use: Features a user-friendly interface enhancing deployment speed.
Seamless Integration: Connects effortlessly with Microsoft services.
Security: Offers robust measures to protect data integrity.
Consistent Availability: Ensures continuous access to data worldwide.

Industries use Azure Cosmos DB to support business intelligence and IoT data management, using its capabilities for backend databases in web and mobile applications. The platform's scalability and real-time analytics benefit sectors like finance, healthcare, and retail, where managing diverse datasets efficiently is critical.

Microsoft

Sample Customers

Information Not Available

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

Buyer's Guide

ClickHouse vs. Microsoft Azure Cosmos DB

February 2026

Free Report: ClickHouse vs. Microsoft Azure Cosmos DB

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