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ClickHouse vs PostgreSQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
6.7
PostgreSQL offers cost savings and rapid ROI with free open-source capabilities, ideal for startups and growing enterprises.
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.
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.
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%.
Associate software architect at a tech services company with 11-50 employees
 

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
PostgreSQL support is strong with community forums, detailed documentation, and high-rated resources, offering both free and paid options.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
Senior Data Engineer at a transportation company with 501-1,000 employees
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
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.
Distinguished AI Leader at Walmart Global Tech at Walmart
If PostgreSQL is hosted on cloud services such as Amazon RDS or Google Cloud SQL, the support is handled by the cloud provider, who provides automated backups, monitoring, infrastructure management, and technical support tickets.
Software Engineer at GSS Academy, Noida
Overall, we have a very small customer service team and a good engineering team with no overburden or bandwidth issues.
Data Science Architect at publicis Sapient
For customizations and extensions, the community is very active and useful.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

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
7.4
PostgreSQL is highly scalable, handling large on-premise or cloud deployments effectively, supporting high transactions and growing user demands.
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.
Software Analyst at CLSA
The scalability of ClickHouse is great.
Senior Software Engineer at a wholesaler/distributor with 1,001-5,000 employees
Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.
Data Science Architect at publicis Sapient
 

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
8.0
PostgreSQL is praised for its stability and reliability, outperforming MySQL, with issues mainly from misconfiguration, not intrinsic faults.
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.
Software Analyst at CLSA
ClickHouse is stable, as we did not encounter stability issues in production.
Software Development Engineer at a tech vendor with 201-500 employees
I have never seen any performance issue in PostgreSQL.
Data Science Architect at publicis Sapient
 

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.
PostgreSQL users seek improvements in interface, performance, scalability, integration, documentation, and support for large-scale real-time applications.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
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.
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.
Founder at a tech services company with 11-50 employees
PostgreSQL remains a strong choice for enterprise applications due to its stability, extensibility, and SQL standards compliance.
Software Engineer – Rust Systems & AI Evaluation at Turing
Query optimization improves slow queries by using proper indexes, avoiding unnecessary joins, and using EXPLAIN ANALYZE to inspect query plans.
Software Engineer at GSS Academy, Noida
If I need to increase the dimension to 3,000 or 5,000, that option should be available.
Data Science Architect at publicis Sapient
 

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.
PostgreSQL offers cost-effective scalability and flexibility with zero licensing fees, though setup and support may incur additional costs.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
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.
AIML engineer at a tech services company with 11-50 employees
Even with doing 100,000 transactions right now within PostgreSQL, we are happy with PostgreSQL and not seeing that it is expensive or going out of budget.
Data Science Architect at publicis Sapient
The managed PostgreSQL itself is open source with no license fees.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.
PostgreSQL excels in spatial support, high availability, JSONB handling, integration, scalability, and community-driven advanced features for diverse applications.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
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.
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.
Associate software architect at a tech services company with 11-50 employees
PostgreSQL improves reliability, performance, and scalability in production. Since it is ACID compliant, it ensures that database transactions are safe and consistent, preventing partial data updates, maintaining data integrity, and allowing multiple users to read or write data simultaneously using MVCC.
Software Engineer at GSS Academy, Noida
The best feature is performance, because of which I decided on PostgreSQL.
Data Science Architect at publicis Sapient
Its robustness and reliability are incredible and stable, which is crucial for critical data, especially with AI model outputs.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

Categories and Ranking

ClickHouse
Ranking in Open Source Databases
3rd
Ranking in Vector Databases
8th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
No ranking in other categories
PostgreSQL
Ranking in Open Source Databases
2nd
Ranking in Vector Databases
7th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
128
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of ClickHouse is 6.4%, up from 5.1% compared to the previous year. The mindshare of PostgreSQL is 12.6%, down from 17.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
PostgreSQL12.6%
ClickHouse6.4%
Other81.0%
Open Source Databases
 

Featured Reviews

reviewer2785038 - PeerSpot reviewer
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.
Shobhit Goel - PeerSpot reviewer
Data Science Architect at publicis Sapient
High-volume transactions have reduced failures and improve customer service efficiency
The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
12%
Outsourcing Company
9%
Comms Service Provider
9%
Financial Services Firm
11%
Comms Service Provider
9%
Computer Software Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business58
Midsize Enterprise26
Large Enterprise49
 

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...
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...
How does Firebird SQL compare with PostgreSQL?
PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...
What is your experience regarding pricing and costs for PostgreSQL?
I am not directly involved in the licensing or procurement decisions, so I cannot comment in detail on the price. From an engineering perspective, PostgreSQL is cost-efficient because it is open so...
What needs improvement with PostgreSQL?
While improving reliability, I have noticed that the limitations in PostgreSQL can be complex. For large-scale deployments, configuration, performance tuning, and related tasks can be complex and i...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg
Find out what your peers are saying about ClickHouse vs. PostgreSQL and other solutions. Updated: August 2026.
908,800 professionals have used our research since 2012.