

MySQL and ClickHouse both operate in the database space but cater to different needs. ClickHouse appears to have an advantage in high-speed analytical processing capabilities, especially when dealing with large data volumes.
Features: MySQL is known for its multi-threaded architecture, extensive platform support, and replication capabilities, making it reliable and easy to use for a variety of applications. ClickHouse is notable for real-time query performance and scalability, benefiting large-scale data analysis with its columnar storage model.
Room for Improvement: MySQL faces limitations such as slower performance in certain scenarios, limited features in its community version, and challenges with scalability. ClickHouse struggles with integration with some third-party tools and lacks comprehensive documentation, and its SQL syntax might pose migration issues.
Ease of Deployment and Customer Service: MySQL offers flexibility in deployment across on-premises, private, and public clouds and has extensive community support, though professional support can be expensive. ClickHouse is versatile in deployment, but its cloud services may lead to higher costs. It also benefits from strong community backing but lacks the depth of professional support found with MySQL.
Pricing and ROI: MySQL is cost-effective due to its free open-source community version, with enterprise features requiring a license, appealing to small to medium businesses. ClickHouse can be used without direct costs as it is open-source, but cloud services might incur expenses. Both databases provide good ROI, with MySQL valued for reliability and ClickHouse for its performance and efficiency in data-heavy environments.
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%.
I have seen a return on investment with MySQL, as it allows us to manage with fewer employees, focusing on business logic rather than database management.
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.
I would rate the documentation and online support a 10 out of 10.
We have no issues and usually receive timely responses.
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.
Meeting scalability requirements through cloud computing is an expensive affair.
MySQL's scalability is currently adequate, as we have increased operations from ten thousand to twelve thousand devices, and it is working fine for us.
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.
We face certain integration issues, especially when we integrate the database with security solutions like IBM QRadar.
From my experience, MySQL was pretty stable.
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 could be more beneficial if MySQL can enhance its data masking functionality in the same way it has improved data encryption.
Oracle could improve on scalability.
The load balancer, MySQL LB, which is used to connect to the application, lacks clear documentation.
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.
Oracle has different components, so if you need security, you have to procure a different license, but here everything is inbuilt and it's not costly.
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.
With Oracle, we have to buy another solution for encryption and masking, but MySQL supports native encryption, which enhances our return on investment.
The main feature we utilize in MySQL is the view, and I can say that it is the most valuable feature for our needs.
It allows programming, writing stored procedures, creating views, constraints, and triggers easily.
| Product | Market Share (%) |
|---|---|
| MySQL | 9.0% |
| ClickHouse | 6.5% |
| Other | 84.5% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 74 |
| Midsize Enterprise | 32 |
| Large Enterprise | 62 |
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.
MySQL is an open-source database known for its ease of use and high performance. It offers features like replication and clustering, making it ideal for diverse applications. Its cost-effectiveness and LAMP integration are key advantages for businesses.
MySQL supports a variety of languages and platforms, providing reliable, scalable data management. Its graphical interface and LAMP architecture integration enhance its usability, while community support further strengthens its appeal. Challenges include scalability issues with large databases, lack of advanced clustering, and limited high-availability features. Complex queries may affect performance, and integration can pose difficulties. The outdated interface and insufficient documentation are also concerns, along with replication and backup reliability issues.
What are MySQL's key features?MySQL is widely implemented in industries such as web development, e-commerce, and finance. It's used for managing dynamic websites, powering e-commerce platforms, and supporting financial applications. Its compatibility with PHP and cost-effectiveness make it suitable for CMS platforms like WordPress. With cloud services integration, MySQL is a backend choice for scalable applications in various sectors.
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