ClickHouse vs MySQL
Side-by-side comparison of features, pricing, ratings, and alternatives.
ClickHouse is an open-source, column-store database management system for analytical and transactional workloads. It allows for fast data processing and analysis, and is designed for use with large amounts of data.
MySQL is a widely used open-source relational database that powers a huge portion of the web, known for speed, reliability, and broad hosting support. It remains a default for many web applications and CMSes.
Free community edition; paid enterprise editions available.
- High performance and scalability
- Supports real-time data processing and analytics
- Column-store architecture for efficient data storage and retrieval
- Open-source and free to use
- Extremely widely supported
- Fast for reads
- Huge community
- Free community edition
- Steep learning curve for new users
- Limited support for transactional workloads
- May require significant resources for large-scale deployments
- Fewer advanced features than Postgres
- Licensing nuances (Oracle-owned)
- Some prefer MariaDB fork
What reviewers say
ClickHouse Reviews
No reviews yet.
MySQL Reviews
4.5 (4)Great database
Tried MySQL recently. Extremely widely supported. Minor gripe: fewer advanced features than postgres. Would recommend.
Great database
Been using MySQL for a while. Huge community. No real complaints. Would recommend.
Solid choice
Been using MySQL for a while. Fast for reads. Minor gripe: some prefer mariadb fork. Would recommend.
More alternatives & similar tools
Alternatives to ClickHouse
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Alternatives to MySQL
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The Verdict
AI-generated from listing dataMySQL is the safer default for general web‑app relational needs; ClickHouse excels when you need high‑performance column‑store analytics.
Key differences
- •Data model: MySQL is row‑oriented relational; ClickHouse is column‑store optimized for analytics.
- •Workload focus: MySQL handles OLTP transactions; ClickHouse is built for real‑time analytical queries.
- •Ecosystem: MySQL has massive web‑dev tooling and hosting support; ClickHouse targets big‑data pipelines (Kafka, HDFS).
- •Scalability: ClickHouse offers native horizontal scaling; MySQL relies on replication/ clustering but less seamless for massive scale.
- •Learning curve: MySQL is widely known; ClickHouse’s column‑store concepts and setup are steeper.
Pricing & value
Both offer free community editions; MySQL also has paid enterprise, ClickHouse is fully free.
Ease of use / learning curve
MySQL is widely taught and has extensive documentation; ClickHouse has a steep learning curve.
Features & depth
MySQL provides full transactional support and mature relational features; ClickHouse lacks robust transaction capabilities.
Integrations & ecosystem
ClickHouse integrates natively with Kafka, HDFS, Arrow; MySQL relies on generic SQL tooling but fewer big‑data connectors.
Scalability
ClickHouse’s distributed architecture enables horizontal scaling for massive analytic workloads; MySQL scaling is more limited.
Support
MySQL has enterprise support options and a huge community; ClickHouse offers community forum and email support only.
Security & privacy
ClickHouse provides built‑in data compression, encryption, and role‑based access; MySQL’s security features not detailed in facts.
Choose ClickHouse if…
Data analysts/scientists requiring fast, scalable column‑store analytics on large datasets.
Choose MySQL if…
Web developers needing reliable OLTP relational DB with broad hosting support.
Common questions
Is there any cost to start using either product?
Both are free to download and use; MySQL also offers paid enterprise editions, ClickHouse is fully free.
Can I run transactional workloads on ClickHouse?
ClickHouse has limited support for transactional workloads; it is optimized for analytical queries, not OLTP.
Which tool integrates better with streaming data sources like Kafka?
ClickHouse lists native integration with Apache Kafka, whereas MySQL does not specify such integration.