Databases · head to head
ClickHouse vs Supabase

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; Supabase free tier projects auto-pause after 1 week of inactivity
- They diverge on capability: ClickHouse covers Column-oriented Storage, Supabase covers PostgreSQL database.
Where they differ
Only the attributes on which ClickHouse and Supabase actually diverge.
| Attribute | ClickHouse | Supabase |
|---|---|---|
| Platforms | Linux, macOS, Windows (via Docker) | Web, iOS, Android |
| Category | Databases | Technology |
| Founded | 2021 | 2020 |
Identical on both: starting price (Free), pricing model (Unknown), 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 Supabase
- PostgreSQL database
- Auto-generated APIs
- Authentication & authorization
- Real-time subscriptions
- Storage
- Edge functions
- Vector embeddings
- Database migrations
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Supabase
- Data warehousingnot Supabase
- Real-time analyticsnot Supabase
- Reportingnot Supabase
- Machine learningnot Supabase
Supabase
- Web application backends using Postgres plus auto-generated REST/GraphQL APIsnot ClickHouse
- Mobile app backends via Flutter/Swift/Kotlin client librariesnot ClickHouse
- AI applications using vector/embeddings storagenot ClickHouse
- Authentication with 20+ social providers plus email/passwordnot ClickHouse
- File and media storage (S3-compatible with CDN) and realtime sync over WebSocketsnot 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
Supabase
- Free tier projects auto-pause after 1 week of inactivity
- Free tier hard caps: 500 MB database, 1 GB file storage, 5 GB egress/month, 50,000 monthly active users, max 2 active free projects per organization
- Pro plan charges usage overages beyond included quotas, e.g. $0.00325 per MAU above 100,000 and $0.125/GB disk above 8 GB
- SOC2/ISO 27001 certification and HIPAA (add-on) compliance require the $599/month Team plan; not available on the $25/month Pro plan
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Supabase
Free- FreeFree
- 50,000 MAU
- 500MB database
- 5GB egress
- Pro$25/month
- 100,000 MAU
- 8GB disk
- 250GB egress
- Team$599/month
- SOC2 and ISO 27001
- HIPAA add-on
- 28-day log / 14-day backup retention
- Enterprise$undefined/month
- Custom limits
- Dedicated support manager
- 24/7/365 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 Supabase if
- You need postgresql database.
- You want to start without paying.
- You work on Web, iOS, Android.
- You also want auto-generated apis.
Questions people ask
- Is ClickHouse or Supabase better?
- Neither clearly leads. ClickHouse starts at Free and Supabase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Supabase?
- ClickHouse starts at Free and Supabase at Free.
- Does ClickHouse or Supabase run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Supabase runs on Web, iOS, Android.
- 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 Supabase is typically brought in for.
- What can ClickHouse do that Supabase cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Supabase covers PostgreSQL database, Auto-generated APIs, Authentication & authorization, Real-time subscriptions.
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.
SourceSupabase: How much does Supabase cost?
Supabase offers a free tier and three paid plans. Pro starts at $25 per month, Team at $599 per month, and Enterprise requires a custom quote. All pricing is in USD charged monthly.
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.
SourceSupabase: What are Supabase's usage overage fees?
Pro plan users pay $0.00325 per monthly active user over the 100,000 included, and $0.125 per GB for database storage exceeding 8 GB per project. Compute instances cost $10 to $3,730+ per month.
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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- Supabase vs Turso
- Supabase vs Azure SQL
- Supabase vs Couchbase
- Supabase vs DuckDB
- Supabase vs MariaDB
- Supabase vs Oracle Database
- Supabase vs DataGrip
- Supabase vs Firebolt
- Supabase vs Google Cloud SQL
- Supabase vs MotherDuck
- Supabase vs Asana
- Supabase vs ClickUp
- Supabase vs Linear
- Supabase vs Figma
- Supabase vs Kubernetes
- Supabase vs Notion
- Supabase vs Datadog
- Supabase vs Monday.com
- Supabase vs Terraform
- Supabase vs Docker
- Supabase vs Greenhouse
- Supabase vs Google Chrome
- Supabase vs Intercom
- Supabase vs Mozilla Firefox
- Supabase vs Okta
- Supabase vs PostHog
- Supabase vs Redis
- Supabase vs Amplitude

