Azure Database for PostgreSQL vs ClickHouse comparison

Azure Database for PostgreSQL

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Executive SummaryUpdated on Nov 23, 2025

ClickHouse and Azure Database for PostgreSQL are key players in the analytics and data management space. ClickHouse excels in rapid query performance for analytical workloads, while Azure Database for PostgreSQL offers extensive integration and security features, making it a balanced choice for enterprises.

Features: ClickHouse offers high-speed data processing, ideal for time-series data. It provides low-latency analytics and supports real-time querying. Azure Database for PostgreSQL supports advanced geospatial data management, offers seamless integration with Azure services, and has strong data security protocols.

Room for Improvement: ClickHouse could enhance its integration capabilities and community support infrastructure. It could also improve user documentation. Azure Database for PostgreSQL might work on reducing cloud costs and enhancing real-time data processing capabilities. It could also streamline certain integration procedures.

Ease of Deployment and Customer Service: ClickHouse is easily deployable, emphasizing speed and scalability, with community-driven support. Azure Database for PostgreSQL benefits from Azure’s diverse deployment options and extensive support infrastructure, providing professional assistance and managed service advantages.

Pricing and ROI: ClickHouse offers cost-effective setup, appealing to startups and budget-conscious businesses. Azure Database for PostgreSQL, while more costly, provides significant long-term ROI through secure integrations and scalability. Both solutions are cost-effective but cater to different business scales and needs.

To learn more, read our detailed Azure Database for PostgreSQL vs. ClickHouse Report (Updated: February 2026).

Azure Database for PostgreSQL vs. ClickHouse

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

4.9

Azure Database for PostgreSQL offers cost savings, efficiency, and flexibility, reducing operational costs and management time with a pay-as-you-go model.

Sentiment score

6.8

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

It offers at least 25 percent cost savings compared to maintaining on-premises databases.

Wesley Haakman

Principle azure architect at Intercept

Now, we use embedded PostgreSQL vectors, which will undoubtedly reduce the TCO by using a much more cost-effective solution.

For more quotes and insights, download the Azure Database for PostgreSQL report

Head of cloud, data, and AI at BJSS

We've reduced our total ownership cost because we are not spending on expensive SQL server licenses.

reviewer2596230

Admin (hands on user) at a comms service provider with 11-50 employees

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.

For more quotes and insights, download the ClickHouse report

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

Customer Service

Sentiment score

5.4

Azure Database for PostgreSQL support experiences vary, praised for responsiveness but criticized for inconsistency and contentious licensing issues.

Sentiment score

6.6

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

Once we open a support case, we have people engaged within about 20 minutes, especially for a Sev 1 issue.

Nick Rapoport

Financial Advisor at a financial services firm with 10,001+ employees

On a scale from one to ten, I rate customer service and technical support a nine because they are quick in responding and in working with me to rectify any issues we come across.

Russell Priesing

Cloud Engineer at a financial services firm with 10,001+ employees

The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.

For more quotes and insights, download the Azure Database for PostgreSQL report

Head of cloud, data, and AI at BJSS

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

Yush Mittal

Level 2 Software Engineer at a computer software company with 201-500 employees

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

For more quotes and insights, download the ClickHouse report

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

Scalability Issues

Sentiment score

5.6

Azure Database for PostgreSQL scales efficiently, supporting complex applications with features like FlexServer and recent redundancy and auto-scaling improvements.

Sentiment score

8.1

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

We do not have to buy everything and build it. It is already there.

George Yen

Systems Engineer II at ICW Group

However, we can see how well it scales after we deploy it for some large enterprise customers or big government organizations.

For more quotes and insights, download the Azure Database for PostgreSQL report

Head of cloud, data, and AI at BJSS

The scaling options with FlexServer provide us with the flexibility we need based on application complexity.

Manikyam Thukkapuram

Director, Alliances & Engineering at a computer software company with 1,001-5,000 employees

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

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

ClickHouse is highly scalable.

For more quotes and insights, download the ClickHouse report

Software Analyst at CLSA

The scalability of ClickHouse is great.

reviewer2785134

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

Stability Issues

Sentiment score

7.2

Azure Database for PostgreSQL is praised for stability, reliable uptime, and Microsoft’s swift resolution of occasional performance issues.

Sentiment score

7.7

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

It is the go-to database if seeking performance and capacity.

Swanston Benjamin

Director at a financial services firm with 10,001+ employees

I have not experienced any downtime, crashes, or performance issues; it has been very stable.

Russell Priesing

Cloud Engineer at a financial services firm with 10,001+ employees

There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.

Wesley Haakman

Principle azure architect at Intercept

For more quotes and insights, download the Azure Database for PostgreSQL report

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.

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

ClickHouse handles large volumes of data efficiently.

For more quotes and insights, download the ClickHouse report

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

Room For Improvement

Azure Database for PostgreSQL needs enhancements in scalability, reliability, monitoring, integrations, user management, and disaster recovery features.

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

It does not presently support knowledge graph functionalities as Neo4j does.

Li Tse Liu

Product manager at a financial services firm with 5,001-10,000 employees

Azure Database for PostgreSQL can be improved by allowing quicker scaling without blips.

Wesley Haakman

Principle azure architect at Intercept

I believe there could be improvements in the mirroring part and Change Data Capture (CDC).

Manikyam Thukkapuram

Director, Alliances & Engineering at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Azure Database for PostgreSQL report

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

For more quotes and insights, download the ClickHouse report

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

Setup Cost

Azure Database for PostgreSQL offers cost-effective scalability with pay-as-you-go pricing, despite higher costs than on-premises solutions.

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

We've reduced costs by 60 percent compared to maintaining on-premises solutions.

Manikyam Thukkapuram

Director, Alliances & Engineering at a computer software company with 1,001-5,000 employees

We chose it because it is more cost-effective than Microsoft SQL.

Michael Taute

Cloud Solutions Architect at Measurement Incorporated

Once you are comfortable and ready to make some commitments, you get about 30 percent saving if you are going with one-year or three-year reservation cost.

Sathish Palanisamy

Staff Data Engineer at a transportation company with 10,001+ employees

For more quotes and insights, download the Azure Database for PostgreSQL report

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.

Software Analyst at CLSA

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

For more quotes and insights, download the ClickHouse report

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

Valuable Features

Azure Database for PostgreSQL offers simplicity, performance, security, scalability, and AI integration, enhancing cloud strategy through robust features.

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

My takeaway as a CTO is that they're comfortable with the security posture, the features, the observability, alerts, and now it integrates into the rest of the Azure landscape.

For more quotes and insights, download the Azure Database for PostgreSQL report

Head of cloud, data, and AI at BJSS

The query analyzers help me find out what's happening in each of the queries.

Gautam Gupta

IT Director at Infosys

If a database has any task that has been interrupted or any connection issue, it will alert LogicMonitor, and we have a centralized panel for all the alerts.

reviewer2777886

System Engineer II at a insurance company with 501-1,000 employees

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.

Yush Mittal

Level 2 Software Engineer at a computer software company with 201-500 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

Categories and Ranking

Azure Database for PostgreSQL

Ranking in Open Source Databases

5th

Average Rating

8.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (5th)

ClickHouse

Ranking in Open Source Databases

4th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Vector Databases (7th)

Mindshare comparison

As of February 2026, in the Open Source Databases category, the mindshare of Azure Database for PostgreSQL is 1.1%. The mindshare of ClickHouse is 6.4%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
ClickHouse	6.4%
Azure Database for PostgreSQL	1.1%
Other	92.5%

Open Source Databases

Featured Reviews

Sathish Palanisamy

Staff Data Engineer at a transportation company with 10,001+ employees

Improves database performance, supports AI integration, and accelerates customer-focused innovation

Azure Database for PostgreSQL can be improved in the area of elastic capabilities. One of the things we were actively looking for is the elastic feature, which was made a GA at this Ignite event. I am really happy that finally in Azure, we have a product which we can use for elastic clusters. If you are bound with a single server, then you have a vertical limit. Now you do not have any limits. As long as your use case grows, we can grow. The only thing I would maybe be thinking about is we should also allow customers to pick different node sizes for every node inside the elastic eventually. Some nodes do not need that big capacity. So that may be a nice-to-have feature, though it is not a must-have at this point.

Read full review

Yush Mittal

Level 2 Software Engineer at a computer software company with 201-500 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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

14%

Marketing Services Firm

13%

Educational Organization

Financial Services Firm

17%

Computer Software Company

16%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	16

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

Questions from the Community

What is your experience regarding pricing and costs for Azure Database for PostgreSQL?

My experience with pricing, setup costs, and licensing for Azure Database for PostgreSQL is positive; I appreciate it all. The pricing is very cost-effective and stable given that we have many data...

What needs improvement with Azure Database for PostgreSQL?

Azure Database for PostgreSQL can be improved in ways I'm very curious to explore with Horizon. I'm interested in seeing how the fully enterprise-hardened features change things and where that blur...

What is your primary use case for Azure Database for PostgreSQL?

My main use cases for Azure Database for PostgreSQL came from a personal project to scratch an itch, and it was the easiest one to go grab. I appreciate how easy PostgreSQL is to get running locall...

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...

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 ...

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...

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Product Reports

Azure Database for PostgreSQL

January 2026

Download Azure Database for PostgreSQL product report

Download ClickHouse product report

January 2026

Overview

Azure Database for PostgreSQL offers efficient management, robust networking, and seamless Microsoft integration. Known for its strong performance and high satisfaction in enterprise settings, it provides operational efficiency, security, and monitoring.

With features that facilitate Azure integration, easy configuration, and AI integration, Azure Database for PostgreSQL serves as a valuable choice for businesses requiring operational efficiency and cost-effectiveness. Users benefit from powerful vector capabilities, seamless Microsoft service integration, straightforward management, and user authentication ensuring high satisfaction. Easy optimization, query analysis, and backup operations make it suitable for varied enterprise applications. However, improvements in flexible scaling, cost-effectiveness of monitoring tools, and enhanced integration with Azure OpenAI would enhance its capabilities further.

What Are the Key Features of Azure Database for PostgreSQL?

Robust Networking: Offers seamless Azure integration to optimize cloud resources.
AI Integration: Simplifies incorporating artificial intelligence into databases.
Monitoring Tools: Provides comprehensive tools for efficient database management.
Security: Ensures user data is protected with high-standard security protocols.
Cost-Effectiveness: Delivers efficient operations with budget-friendly solutions.

What Benefits Should Users Consider?

Operational Efficiency: Streamlines database management tasks, reducing workload.
High Satisfaction: Receives positive feedback for its reliable performance in enterprises.
Enterprise Compatibility: Integrates across various Microsoft services for enhanced productivity.
User-Friendly Management: Facilitates straightforward database administration.
Scalability: Supports businesses with potential growth through flexible solutions.

Industries such as healthcare, retail, and finance leverage Azure Database for PostgreSQL for backend solutions, incident reporting, and public information sharing. Managed service providers utilize its strong performance for client needs, while administrators use it for applications like ControlM. Its flexibility supports containerized applications and disaster recovery, ensuring compatibility with diverse environments.

Microsoft

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.