Software · head to head
Vitess vs ClickHouse
Vitess
Software
Scalable database clustering system for horizontal scaling of MySQL
- From
- Free
- Rated
- -
ClickHouse
Software
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Vitess vTGate scatter queries without sharding key incur significant performance penalties; ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- They diverge on capability: Vitess covers Horizontal Sharding, ClickHouse covers Column-oriented Storage.
Where they differ
Only the attributes on which Vitess and ClickHouse actually diverge.
| Attribute | Vitess | ClickHouse |
|---|---|---|
| Platforms | Linux, macOS, Docker, Kubernetes | Linux, macOS, Windows (via Docker) |
| Founded | 2010 | 2021 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Vitess
- Horizontal Sharding
- Connection Pooling
- Query Routing
- Online Schema Changes
- Shard Management
- Replication Management
- Automated Failover
- Kubernetes
Only in ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Both cover
- MySQL
- Grafana
- Linux support
- Kubernetes support
- Docker support
What people use each for
The jobs each tool is most often brought in to do.
Vitess
- Transaction processingnot ClickHouse
- Data storagenot ClickHouse
- Application backendnot ClickHouse
- Reporting
- Data analyticsnot ClickHouse
ClickHouse
- Business intelligencenot Vitess
- Data warehousingnot Vitess
- Real-time analyticsnot Vitess
- Reporting
- Machine learningnot Vitess
Both are used for reporting, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Vitess
- VTGate scatter queries without sharding key incur significant performance penalties
- Foreign key constraints not enforced across shards, requiring application-level integrity handling
- Single primary per keyspace limits multi-region write capabilities
- Distributed transactions without proper sharding key routing suffer performance degradation
ClickHouse
- Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
- Experimental vector search support, not production-ready for vector operations
- Different query syntax from standard SQL requiring migration planning
- Limited JOIN capabilities compared to traditional relational databases
- Migration complexity with 2-4 weeks estimated for data type mapping and query translation
Pricing, plan by plan
Vitess
FreeNo published plan breakdown. See the Vitess review.
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Which should you pick?
Choose Vitess if
- You need horizontal sharding.
- You want to start without paying.
- You work on Linux, macOS, Docker, Kubernetes.
- You also want connection pooling.
Choose ClickHouse if
- You need column-oriented storage.
- You want to start without paying.
- You work on Linux, macOS, Windows (via Docker).
- You also want real-time analytics.
Questions people ask
- Is Vitess or ClickHouse better?
- Neither clearly leads. Vitess starts at Free and ClickHouse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Vitess or ClickHouse?
- Vitess starts at Free and ClickHouse at Free.
- Does Vitess or ClickHouse run on more platforms?
- Vitess runs on Linux, macOS, Docker, Kubernetes. ClickHouse runs on Linux, macOS, Windows (via Docker).
- Can I use Vitess for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Vitess best used for?
- Vitess is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what ClickHouse is typically brought in for.
- What can Vitess do that ClickHouse cannot?
- Vitess covers Horizontal Sharding, Connection Pooling, Query Routing, Online Schema Changes. ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Both handle MySQL, Grafana, Linux support, Kubernetes support.
Answered from the vendors’ own pages
Vitess: Is Vitess free to use?
Yes. Vitess is completely free and open source under the Apache 2.0 license. It is a graduated CNCF project with no licensing costs or pricing tiers.
SourceClickHouse: What is ClickHouse best used for?
ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.
SourceVitess: What databases does Vitess support?
Vitess supports MySQL and MariaDB as backend databases. It acts as a middleware layer that adds sharding and orchestration capabilities on top of these databases.
SourceClickHouse: Does ClickHouse support transactions?
ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.
SourceVitess: Does Vitess require Kubernetes to run?
No. Vitess can run on Kubernetes using the Vitess Operator, but it can also be deployed on traditional infrastructure. Kubernetes integration is optional and provides additional automation benefits.
SourceClickHouse: How does ClickHouse compare to PostgreSQL?
ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.
SourceVitess: How does Vitess handle cross-shard transactions?
Vitess supports distributed transactions across shards, but they require queries to be routed through the sharding key. Transactions without a proper sharding key can result in slower performance.
SourceVitess: Does Vitess enforce foreign key constraints?
Vitess does not enforce foreign key constraints across shards by default. Referential integrity must be managed at the application layer, though per-database support can be enabled with limitations.
Source