

Percona Server and ClickHouse compete in the database management domain, with each serving distinct needs. Percona Server stands out in transactional stability, while ClickHouse excels in rapid analytical processing.
Features: Percona Server offers high availability, rich security options, and compatibility with MySQL for transactional stability. ClickHouse provides speed and efficiency, with real-time query performance on massive datasets, catering to analytics-driven environments.
Ease of Deployment and Customer Service: Percona Server provides straightforward deployment with detailed documentation and comprehensive support services, facilitating integration within existing MySQL-based environments. ClickHouse requires more technical expertise initially for deployment due to its distinct architecture, but offers valuable community support and resources.
Pricing and ROI: Percona Server is a cost-effective solution due to its open-source nature, providing strong ROI through performance stability. ClickHouse may involve higher initial setup costs for its specialized analytical capabilities but offers substantial returns through enhanced data processing efficiency.
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.
We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.
With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.
What was projected for a three-year hardware lifespan extended to five years, yielding a return on investment of more than two times from migrating from MySQL to Percona Server.
I have seen a return on investment from using Percona Server, especially in terms of time, as time to resolve issues and time to get notified mean that time is a lot of money.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.
Percona Server's customer support is excellent with very responsive and friendly service.
support was quite helpful in assisting us with archivers, replicators, and other commands.
The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.
ClickHouse is highly scalable.
The scalability of ClickHouse is great.
Percona Server's scalability is very strong, as it features thread pooling for over 10,000 connections.
We find it is easy to scale out and scale in using Percona Operator, Percona XtraDB toolkits, and PXC XtraDB Cluster.
Percona Server's scalability meets our needs well, as we use it in Docker and scale the way we want with multiple MongoDB servers rather than one huge server.
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.
ClickHouse handles large volumes of data efficiently.
ClickHouse is stable, as we did not encounter stability issues in production.
Percona Server is perfectly stable and reliable.
Percona Server is very stable in my experience.
Percona Server is stable based on my experience.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.
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.
It would be helpful to clarify the metrics related to disk I/O latency so we could understand where our bottlenecks are.
I believe it would be great to have tools to deploy Percona Server in Docker so that we can split a huge database server into many small servers, which are easier to maintain and delegate to junior administrators.
The introduction of materialized views in Percona Server would be a significant help, as this feature has been requested for a long time.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
ClickHouse is open source with no hidden fees, offering cost-effective data management.
I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.
What I appreciated was that they packaged support with the licenses, ensuring that we ended up with a working database.
we received the enterprise features for free
Since I used the free tier, my experience with pricing, setup cost, and licensing was that it was the best model available at the time.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.
ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.
Percona Kubernetes for MongoDB is a unique offering since no other companies provide a proper Kubernetes operator that supports deployment, maintenance, and backup.
Percona Server has positively impacted my organization by allowing us to save a ton of money by not having to use RDS or Aurora in Amazon.
Whenever there is an issue, Percona Server notifies us, and we resolve the issue immediately.
| Product | Mindshare (%) |
|---|---|
| ClickHouse | 6.4% |
| Percona Server | 2.4% |
| Other | 91.2% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 3 |
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?
What benefits should users consider?
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.
Percona Server is a MySQL alternative offering improved performance and scalability for databases used in demanding environments. It is tailored for companies requiring reliable data management, ensuring efficiency and flexibility in operations.
Percona Server enhances MySQL with numerous features that boost database performance, making it suitable for large-scale deployments. Known for its ability to handle heavy workloads, users count on Percona Server to maintain operational consistency even under significant demand. Its security and compatibility with MySQL are additional benefits, providing a seamless transition for existing MySQL users. Organizations focused on cost-efficiency and high performance often consider Percona Server as a strong, open-source solution.
What are Percona Server's features?In industries such as e-commerce, telecommunication, and finance, Percona Server is implemented to maintain high transaction volumes and ensure robust data security. Its utility in managing complex database demands makes it a preferred choice in sectors where data integrity and performance are crucial.
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