Database & Data Management · head to head
ClickHouse vs PostgreSQL

ClickHouse
Database & Data Management
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
PostgreSQL
Database & Data Management
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: ClickHouse covers Column-oriented Storage, PostgreSQL covers ACID Compliance.
Where they differ
Only the attributes on which ClickHouse and PostgreSQL actually diverge.
| Attribute | ClickHouse | PostgreSQL |
|---|---|---|
| Platforms | Linux, macOS, Windows (via Docker) | Linux, Windows, macOS, BSD, Unix |
| Founded | 2021 | 1996 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
Both cover
- Linux support
- Mac support
- Docker support
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot PostgreSQL
- Data warehousingnot PostgreSQL
- Real-time analyticsnot PostgreSQL
- Reporting
- Machine learningnot PostgreSQL
PostgreSQL
- Transaction processingnot ClickHouse
- Data storagenot ClickHouse
- Application backendnot ClickHouse
- Reporting
- Data analyticsnot ClickHouse
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.
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
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL review.
Which should you pick?
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.
Choose PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is ClickHouse or PostgreSQL better?
- Neither clearly leads. ClickHouse starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or PostgreSQL?
- ClickHouse starts at Free and PostgreSQL at Free.
- Does ClickHouse or PostgreSQL run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use ClickHouse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClickHouse best used for?
- ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what PostgreSQL is typically brought in for.
- What can ClickHouse do that PostgreSQL cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility. Both handle Linux support, Mac support, Docker support.
Answered from the vendors’ own pages
ClickHouse: 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.
SourcePostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
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.
SourcePostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
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.
SourcePostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
Source