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ClickHouse vs MariaDB 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
8th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
9
Ranking in other categories
Vector Databases (11th)
MariaDB
Ranking in Open Source Databases
4th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
59
Ranking in other categories
Relational Databases Tools (5th)
 

Mindshare comparison

As of February 2025, in the Open Source Databases category, the mindshare of ClickHouse is 2.3%, up from 0.1% compared to the previous year. The mindshare of MariaDB is 6.7%, down from 13.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Can set it up on computer and run queries without depending on the cloud
The tool is open-source, so you don't need to pay for the software itself. However, you need to consider hardware costs and maintenance. A small company can install it on a company computer. For larger companies, you might need to hire a team for maintenance and consider data safety and privacy issues. Integrating ClickHouse with other tools in our data stack was easy. It has native connections to many tools, such as Google and Amazon cloud solutions, and can easily connect with other databases. For beginners, the ease of use depends on your background. If you're familiar with relational databases, it's easy. If not, you might need to read the documentation or ask for support.
KumarManish - PeerSpot reviewer
Easy to deploy, cost-effective, and integrates seamlessly with other products
We had planned for an RDBMS version and not NoSQL. We use MariaDB Galera Cluster. It's a good product. It is cheap, scalable, performs well, and is efficient. We use GCP’s BigQuery for machine learning. We must follow the best practices of the tool. We missed some best practices like the storage engine and InnoDB. It was very difficult to identify why we were having performance issues. Then, we realized that some of our tables were still on MyISAM, the default storage engine. When we switched it back to the InnoDB, it was very smooth. InnoDB is the recommended one. We must follow the best practices given in the documentation during the initial setup. Overall, I rate the product a nine out of ten.

Quotes from Members

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

Pros

"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."
"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."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"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 performance is very good."
"It is an absolutely stable solution."
"MariaDB is a fast and flexible tool."
"The solution has PL/SQL compatibility."
"MariaDB is scalable."
"It is a scalable solution. It easily scales up and scales down."
"Great monitoring and performance stability."
"The product has good documentation and you can find many examples online."
 

Cons

"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."
"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."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"I would like ClickHouse to work more on integration with third-party tools."
"We had a lot of troubles while deploying a whole 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."
"The price could be less expensive."
"MariaDB could be improved by adding more automation."
"The maintenance and performance could be a bit better."
"Data continuity could be improved."
"The only potential area for improvement could be the pricing model, which might benefit from being more flexible or a bit cheaper."
"The solution can improve by having support for more integration. However, at this time it is working well for us."
"It should work across all fields like SQLite, as it is the basis of any application, even apps for phones and the like."
"Maria DB has to improve from a management perspective."
 

Pricing and Cost Advice

"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."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"The tool is free."
"The tool is open-source."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"This is an open-source product, which can be used free of charge."
"The price of this solution represents a very good compromise between the cost and what it offers."
"It's an open-source solution."
"The product is not expensive."
"MariaDB is a free-to-use solution."
"MariaDB is an open-source software, meaning I don't need to pay for the product."
"MariaDB is available for free."
"We use the solution's free version."
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Top Industries

By visitors reading reviews
Computer Software Company
26%
Educational Organization
16%
Financial Services Firm
13%
Manufacturing Company
8%
Computer Software Company
16%
Financial Services Firm
11%
Manufacturing Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with ClickHouse?
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 ce...
What is your primary use case for ClickHouse?
I used ClickHouse to collect data, put it in the database, and then analyze it to find insights. The main advantage is that I can install it on my computer instead of using cloud-based solutions, s...
What do you like most about MariaDB?
The integration with other products is seamless.
What is your experience regarding pricing and costs for MariaDB?
I have found the price of commercial MariaDB to be pretty steep, although not as high as Oracle. Customers often prefer the Community Edition because it's free.
What needs improvement with MariaDB?
The only potential area for improvement could be the pricing model, which might benefit from being more flexible or a bit cheaper.
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities
Find out what your peers are saying about ClickHouse vs. MariaDB and other solutions. Updated: January 2025.
832,138 professionals have used our research since 2012.