Technology · head to head
ClickHouse vs PostHog

ClickHouse
Technology
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -

PostHog
Technology
The single platform to analyze, test, observe, and deploy new features
- 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; PostHog the free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- They diverge on capability: ClickHouse covers Column-oriented Storage, PostHog covers Product analytics.
Where they differ
Only the attributes on which ClickHouse and PostHog actually diverge.
| Attribute | ClickHouse | PostHog |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Linux, macOS, Windows (via Docker) | Web, Ios, Android, Api |
| Category | Unknown | Technology |
| Founded | 2021 | 2020 |
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 PostHog
- Product analytics
- Session recording
- Feature flags
- A/B testing
- Heatmaps
- SQL access
- Data warehouse
- Apps platform
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot PostHog
- Data warehousingnot PostHog
- Real-time analyticsnot PostHog
- Reportingnot PostHog
- Machine learningnot PostHog
PostHog
- Product analyticsnot ClickHouse
- Feature experimentationnot ClickHouse
- User behavior trackingnot ClickHouse
- A/B testingnot ClickHouse
- Debug production issuesnot 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
PostHog
- The free tier covers 1M events, 5K web session recordings and 2.5K mobile recordings per month before usage-based billing starts
- Accounts without a card on file are limited to 1 project; adding one raises it to 6
- Data retention is 1 year until a card is added, which extends it to 7 years
- Support is community-only until the account is on a paid plan
- Error tracking is capped at 100K exceptions and surveys at 1500 responses per month on the free tier
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
PostHog
Free- FreeFree
- 1M events/month
- 5K sessions/month
- Unlimited users
- Paid$undefined/month
- $0.00031/event
- $0.005/session
- Advanced permissions
- Enterprise$undefined/month
- SAML SSO
- Advanced security
- Dedicated 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 PostHog if
- You need product analytics.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want session recording.
Questions people ask
- Is ClickHouse or PostHog better?
- Neither clearly leads. ClickHouse starts at Free and PostHog at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or PostHog?
- ClickHouse starts at Free and PostHog at Free.
- Does ClickHouse or PostHog run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). PostHog runs on Web, Ios, Android, Api.
- 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 PostHog is typically brought in for.
- What can ClickHouse do that PostHog cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. PostHog covers Product analytics, Session recording, Feature flags, A/B testing.
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.
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.
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.
SourceRelated pages
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- PostHog vs Cockroach Labs
- PostHog vs PostgreSQL
- PostHog vs Airtable
- PostHog vs Amazon Aurora
- PostHog vs Elasticsearch
- PostHog vs PlanetScale
- PostHog vs Azure SQL
- PostHog vs Couchbase
- PostHog vs DuckDB
- PostHog vs DynamoDB
- PostHog vs MariaDB
- PostHog vs Oracle Database
- PostHog vs Amazon RDS
- PostHog vs Amazon Redshift
- PostHog vs Apache Druid
- PostHog vs Cassandra
- PostHog vs CouchDB
- PostHog vs Firebolt
- PostHog vs Asana
- PostHog vs ClickUp
- PostHog vs Figma
- PostHog vs Linear
- PostHog vs Monday.com
- PostHog vs Greenhouse
- PostHog vs Notion
- PostHog vs Amplitude
- PostHog vs Datadog
- PostHog vs PyCharm
- PostHog vs Sketch
- PostHog vs Docker
- PostHog vs Netlify
- PostHog vs Okta
- PostHog vs Aha!
- PostHog vs Coda
- PostHog vs Dashlane
- PostHog vs GitHub
