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ClickHouse vs PostgreSQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 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 Open Source Databases
6th
Ranking in Vector Databases
11th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
11
Ranking in other categories
No ranking in other categories
PostgreSQL
Ranking in Open Source Databases
3rd
Ranking in Vector Databases
12th
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
125
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Open Source Databases category, the mindshare of ClickHouse is 4.7%, up from 0.5% compared to the previous year. The mindshare of PostgreSQL is 17.7%, down from 20.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source 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.
PavithrarajShetty - PeerSpot reviewer
Offers simplicity and is cheaply priced
I haven't gone through the scalability aspect since I was using MySQL Server. I haven't worked to a high level in PostgreSQL, but with MySQL Server, I have managed clustering and partitioning. I think I haven't put much focus on PostgreSQL, so I am not sure how it behaves or how it works.

Quotes from Members

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

Pros

"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"It's easier to work with big data and calculations using the product."
"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."
"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 much faster than traditional databases like MySQL and MongoDB. Its column-row searching strategy makes it very efficient. With ClickHouse, we can manage multiple databases, automatically insert data from other databases and delete data as needed. It supports real-time query performance, allowing simultaneous data insertion and retrieval. ClickHouse has improved significantly over the past two years, adding more functions and queries, as well as top functionality."
"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."
"The tool is column-based and infinitely scalable."
"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 is very simple to manage."
"The solution provides complete support in terms of the SQL dialect and behaves nicely when it comes to transactions."
"What I like is that it's quite powerful in terms of performance."
"The tool is user-friendly."
"Initial setup is simple."
"It is very useful for both structured and unstructured data. You can store unstructured and structured data in PostgreSQL. It is easy to use. You can easily manage things through PostgreSQL Admin. It is cost-effective. Its on-premise version is free. It is agnostic of on-premise or cloud. You can install it on the cloud or on-premises. It is available with all clouds, and you can also install it on desktop or Windows Servers."
"This is an open-source solution, operates at a high speed, and supports more than one SQL language."
"The solution is quite stable."
 

Cons

"I would like ClickHouse to work more on integration with third-party tools."
"We had a lot of troubles while deploying a whole cluster."
"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."
"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."
"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."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"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."
"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 user interface for the clients could be easier to use as they are small businesses. From a technical support perspective, the documentation could be improved."
"I find it difficult to get connectors on the tool. For example, .NET has only one free provider in PostgreSQL. I need to pay the provider if I need something more sophisticated features. Other languages like PHP and Java have good community support. We need community support for .NET."
"It could be more secure."
"The price could be better."
"A better graphic user-interface would be nice to see."
"I don't think PostgreSQL supports bulk databases, so it needs to have more capabilities in terms of managing the bulk data."
"The database and applications can become very slow."
"It could be improved by using parallelization. You want basically, distributed computing."
 

Pricing and Cost Advice

"The tool is free."
"We used the free, community version of ClickHouse."
"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."
"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."
"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 use the open-source version of PostgreSQL and not the enterprise edition."
"We are using the free version of PostgreSQL."
"The tool is cheaply priced compared to other RDBMS providers in the market."
"Affordable solution."
"The licensing model is good."
"It is free, but if you need support, you can go for the commercial version called EnterpriseDB. They provide paid support, and they can even do hosting for you if you want standby and support."
"It is free. In terms of operating costs, it basically needs the same platform on which Oracle runs."
"It is open source. There is no licensing."
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Financial Services Firm
15%
Educational Organization
11%
Manufacturing Company
9%
Computer Software Company
16%
Financial Services Firm
12%
Comms Service Provider
9%
Manufacturing Company
7%
 

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...
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 do you like most about PostgreSQL?
It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.
What is your experience regarding pricing and costs for PostgreSQL?
The tool is free of cost. For now, it's not about making money. But once we perfect it, we can offer it to customers willing to pay for support and other services. Most of my deployments are free.
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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Find out what your peers are saying about ClickHouse vs. PostgreSQL and other solutions. Updated: May 2025.
860,592 professionals have used our research since 2012.