Database & Data Management · head to head
ClickHouse vs ScyllaDB

ClickHouse
Database & Data Management
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -

ScyllaDB
Database & Data Management
The real-time big data database compatible with Cassandra
- 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; ScyllaDB aWS Marketplace lists ScyllaDB Enterprise (sold directly by ScyllaDB, Inc) at $1.63 per hour for the recommended i3.4xlarge instance size, license and enterprise support bundled in
- They diverge on capability: ClickHouse covers Column-oriented Storage, ScyllaDB covers Cassandra Compatible.
Where they differ
Only the attributes on which ClickHouse and ScyllaDB actually diverge.
| Attribute | ClickHouse | ScyllaDB |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Linux, macOS, Windows (via Docker) | Linux, Docker, Kubernetes, Web |
| Founded | 2021 | 2015 |
Identical on both: starting price (Free), 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
- S3
Only in ScyllaDB
- Cassandra Compatible
- DynamoDB Compatible
- 10x Throughput
- Low Latency
- Auto-tuning
- Lightweight Transactions
- Change Data Capture
- Cassandra Drivers
Both cover
- Kafka
- Linux support
- Docker support
- Kubernetes support
- Web support
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot ScyllaDB
- Data warehousingnot ScyllaDB
- Real-time analyticsnot ScyllaDB
- Reportingnot ScyllaDB
- Machine learningnot ScyllaDB
ScyllaDB
- Real-time applicationsnot ClickHouse
- Content managementnot ClickHouse
- User profilesnot ClickHouse
- Mobile backendsnot ClickHouse
- Cachingnot 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
ScyllaDB
- AWS Marketplace lists ScyllaDB Enterprise (sold directly by ScyllaDB, Inc) at $1.63 per hour for the recommended i3.4xlarge instance size, license and enterprise support bundled in
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
ScyllaDB
Free- Open SourceFree
- Full features
- Community support
- Self-managed
- Cloud$0.3/hour
- Managed service
- Pay per hour
- Enterprise 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 ScyllaDB if
- You need cassandra compatible.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Web.
- You also want dynamodb compatible.
Questions people ask
- Is ClickHouse or ScyllaDB better?
- Neither clearly leads. ClickHouse starts at Free and ScyllaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or ScyllaDB?
- ClickHouse starts at Free and ScyllaDB at Free.
- Does ClickHouse or ScyllaDB run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). ScyllaDB runs on Linux, Docker, Kubernetes, Web.
- 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 ScyllaDB is typically brought in for.
- What can ClickHouse do that ScyllaDB cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. ScyllaDB covers Cassandra Compatible, DynamoDB Compatible, 10x Throughput, Low Latency. Both handle Kafka, Linux support, Docker support, Kubernetes 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.
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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- ScyllaDB vs MariaDB
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