Databases · head to head
ClickHouse vs Postgres

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- 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; Postgres each major version is supported for only 5 years after its initial release, after which it is end-of-life
- They diverge on capability: ClickHouse covers Column-oriented Storage, Postgres covers ACID compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClickHouse and Postgres actually diverge.
| Attribute | ClickHouse | Postgres |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Linux, macOS, Windows (via Docker) | Linux, Windows, Macos, Docker |
| Category | Databases | Technology |
| Founded | 2021 | 1996 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Postgres
- ACID compliance
- Complex queries
- Foreign keys
- Triggers
- Views
- Stored procedures
- JSON/JSONB support
- Full-text search
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Postgres
- Data warehousingnot Postgres
- Real-time analyticsnot Postgres
- Reportingnot Postgres
- Machine learningnot Postgres
Postgres
- Running a general purpose relational database for applicationsnot ClickHouse
- Self-hosting an open source SQL database with no licence feenot ClickHouse
- Workloads needing extensions, JSON and full text search in one enginenot ClickHouse
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
Postgres
- Each major version is supported for only 5 years after its initial release, after which it is end-of-life
- Major version upgrades break on-disk compatibility and require a full dump and reload or the pg_upgrade tool
- New major versions ship about once a year, so staying supported means a disruptive upgrade cycle
- Minor releases contain only frequently-encountered bug fixes, low-risk fixes, security issues and data corruption fixes, so feature gaps are not addressed within a major version
- There is no vendor SLA; commercial support must be bought separately from third party professional services listed by the project
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Postgres
Free- Community EditionFree
- Full database features
- No limitations
- Community support
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 Postgres if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, Macos, Docker.
- You also want complex queries.
Questions people ask
- Is ClickHouse or Postgres better?
- Neither clearly leads. ClickHouse starts at Free and Postgres at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Postgres?
- ClickHouse starts at Free and Postgres at Free.
- Does ClickHouse or Postgres run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Postgres runs on Linux, Windows, Macos, Docker.
- 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 Postgres is typically brought in for.
- What can ClickHouse do that Postgres cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Postgres covers ACID compliance, Complex queries, Foreign keys, Triggers.
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.
SourcePostgres: How much does PostgreSQL cost to use?
PostgreSQL is completely free to download, install, and use. No licensing fees, subscription costs, or per-seat charges apply. The database is open source under the PostgreSQL License. Source: https://www.postgresql.org
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.
SourcePostgres: Are there commercial PostgreSQL support options available?
Official PostgreSQL (the project) is free. Commercial PostgreSQL services such as hosting, professional support, training, and managed database services are offered by third-party vendors, not the PostgreSQL project itself. Source: https://www.postgresql.org
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.
SourcePostgres: Do I need a license to use PostgreSQL commercially?
No. PostgreSQL is open source under the PostgreSQL License, which permits free commercial use without royalties, licensing fees, or support obligations. Source: https://www.postgresql.org
SourceRelated pages
Other head to heads
- ClickHouse vs Apache Druid
- ClickHouse vs SingleStore
- ClickHouse vs Amazon Redshift
- ClickHouse vs TimescaleDB
- ClickHouse vs Tinybird
- ClickHouse vs Timeplus
- ClickHouse vs StarRocks
- ClickHouse vs Presto
- ClickHouse vs DuckDB
- ClickHouse vs Valkey
- ClickHouse vs ArangoDB
- ClickHouse vs Canary Labs
- ClickHouse vs Chroma
- ClickHouse vs Apache Pinot
- ClickHouse vs Apache Doris
- ClickHouse vs Cassandra
- ClickHouse vs Apache Solr
- ClickHouse vs Linear
- ClickHouse vs Asana
- ClickHouse vs ClickUp
- ClickHouse vs Figma
- ClickHouse vs Supabase
- ClickHouse vs Redis
- ClickHouse vs Aha!
- ClickHouse vs Eclipse
- ClickHouse vs Excalidraw
- ClickHouse vs MongoDB
- ClickHouse vs Okta
- ClickHouse vs Notion
- ClickHouse vs Close
- ClickHouse vs Coda
- ClickHouse vs Drift
- ClickHouse vs JetBrains IntelliJ IDEA
- ClickHouse vs LogRocket
- ClickHouse vs Neovim
- Postgres vs Apache Druid
- Postgres vs SingleStore
- Postgres vs Amazon Redshift
- Postgres vs TimescaleDB
- Postgres vs Tinybird
- Postgres vs Timeplus
- Postgres vs StarRocks
- Postgres vs Presto
- Postgres vs DuckDB
- Postgres vs Valkey
- Postgres vs ArangoDB
- Postgres vs Canary Labs
- Postgres vs Chroma
- Postgres vs Apache Pinot
- Postgres vs Apache Doris
- Postgres vs Cassandra
- Postgres vs Apache Solr
- Postgres vs Linear
- Postgres vs Asana
- Postgres vs ClickUp
- Postgres vs Figma
- Postgres vs Supabase
- Postgres vs Redis
- Postgres vs Aha!
- Postgres vs Eclipse
- Postgres vs Excalidraw
- Postgres vs MongoDB
- Postgres vs Okta
- Postgres vs Notion
- Postgres vs Close
- Postgres vs Coda
- Postgres vs Drift
- Postgres vs JetBrains IntelliJ IDEA
- Postgres vs LogRocket
- Postgres vs Neovim

