ClickHouse vs Percona Server comparison

ClickHouse and Percona are both solutions in the Open Source Databases category. ClickHouse is ranked #6 with an average rating of 8.8, while Percona is ranked #16. ClickHouse holds a 4.3% mindshare in OSD, compared to Percona’s 1.7% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 100% of Percona users who would recommend it.

ClickHouse

Read 11 ClickHouse reviews

1,092 Views
740 Comparison Views

100% willing to recommend

Percona Server

Read 2 Percona Server reviews

992 Views
884 Comparison Views

100% willing to recommend

ClickHouse

Percona Server

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Executive SummaryUpdated on Jan 23, 2025

Percona Server and ClickHouse compete in the database solutions market. Percona Server often has the upper hand in cost-effectiveness and support, whereas ClickHouse is stronger in performance and features.

Features:Percona Server is recognized for scalability, security, and MySQL compatibility, which boost performance in high-traffic environments. ClickHouse is known for real-time analytics, columnar storage, and fast data processing, beneficial for large-scale data analytics.

Ease of Deployment and Customer Service:Percona Server offers easy deployment with extensive documentation and prompt customer service. ClickHouse, requiring more expertise due to its complex architecture, benefits from community-driven support and detailed resources.

Pricing and ROI:Percona Server is valued for low setup costs and high ROI, thanks to its open-source nature and efficient support plans. ClickHouse may involve higher initial costs but delivers significant ROI with high-performance analytics and efficient data handling.

To learn more, read our detailed ClickHouse vs. Percona Server Report (Updated: June 2025).

Buyer's Guide

ClickHouse vs. Percona Server

June 2025

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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:

Categories and Ranking

ClickHouse

Ranking in Open Source Databases

6th

Average Rating

8.8

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

Vector Databases (11th)

Percona Server

Ranking in Open Source Databases

16th

Average Rating

7.6

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Open Source Databases category, the mindshare of ClickHouse is 4.3%, up from 0.5% compared to the previous year. The mindshare of Percona Server is 1.7%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Featured Reviews

Aswini Atibudhi

Distinguished AI Leader at Walmart Global Tech at Walmart

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.

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Umair Hassan

Database Administrator at Systems Limited

Open-source and free to use with a good community

I would love to see the flashback in Percona MySQL or even in Percona PostgreSQL. It's available in Oracle, the flashback. In Oracle, there's the utility of a flashback. It stores all the information in the tables for a few days. That way, if I accidentally delete my records from the table or I need to check the value of a column or row two days back, I can. If Percona had flashback capabilities, it would be ideal. I would love to see training be easier to find. I had some complications finding the training that Percona provides. It is not displayed on the website. For example, if I want to train myself via a Percona expert through virtual files or through recorded videos or something like that, it's really difficult to find any sort of course. You have to email them first, and they will ask you whether it is for yourself or it is for the corporate sector. The course content should just be readily available and not hidden.

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Quotes from Members

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

Pros

"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."

"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."

"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."

"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."

"The tool is column-based and infinitely scalable."

"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."

More ClickHouse pros

"We find the product mostly stable."

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."

"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."

"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."

"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."

"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."

"I would like ClickHouse to work more on integration with third-party tools."

More ClickHouse cons

"If Percona had flashback capabilities, it would be ideal."

Pricing and Cost Advice

"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."

"We used the free, community version of ClickHouse."

"The tool is free."

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."

"The tool is open-source."

"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."

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

24%

Financial Services Firm

15%

Educational Organization

10%

Manufacturing Company

Computer Software Company

25%

Financial Services Firm

11%

Comms Service Provider

10%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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What needs improvement with ClickHouse?

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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...

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Comparisons

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Compared 23% of the time

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Compared 8% of the time

Cassandra vs ClickHouse

Compared 8% of the time

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Compared 35% of the time

MySQL vs Percona Server

Compared 27% of the time

PostgreSQL vs Percona Server

Compared 26% of the time

EDB Postgres Advanced Server vs Percona Server

Compared 13% of the time

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Product Reports

Buyer's Guide

ClickHouse

June 2025

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Buyer's Guide

Open Source Databases

June 2025

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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

Percona Server for MySQL is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides good performance, scalability and instrumentation. With over 3,000,000 downloads, Percona Server for MySQL's self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

Percona

Sample Customers

Information Not Available

Pricefalls Marketplace, Micpoint, Rent the Runway, Transmart, Wattpad, Singular Group, Invoca, 3E

Buyer's Guide

ClickHouse vs. Percona Server

June 2025

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