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ClickHouse vs YugabyteDB

ClickHouse logo

ClickHouse

Software

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
YugabyteDB logo

YugabyteDB

Software

Open source distributed SQL database for cloud native apps

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility
  • They diverge on capability: ClickHouse covers Column-oriented Storage, YugabyteDB covers PostgreSQL Compatible.

Where they differ

Only the attributes on which ClickHouse and YugabyteDB actually diverge.

Attributes where ClickHouse and YugabyteDB differ
AttributeClickHouseYugabyteDB
PlatformsLinux, macOS, Windows (via Docker)Cloud, On-premises, Kubernetes
Founded20212016

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Unknown).

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
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka
  • S3

Only in YugabyteDB

  • PostgreSQL Compatible
  • Distributed SQL
  • Geo-distribution
  • High Availability
  • ACID Transactions
  • CDC Support
  • Cassandra
  • Kubernetes

Both cover

  • Linear Scalability
  • PostgreSQL
  • Linux support
  • Mac 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 YugabyteDB
  • Data warehousingnot YugabyteDB
  • Real-time analyticsnot YugabyteDB
  • Reporting
  • Machine learningnot YugabyteDB

YugabyteDB

  • 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

YugabyteDB

  • Missing PostgreSQL functions and extensions despite claiming compatibility
  • Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
  • Requires careful isolation level management or risk data corruption in production
  • Lacks built-in OLAP capabilities, requiring external systems for analytics
  • Coupled compute and storage scaling reduces optimization flexibility

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

YugabyteDB

Free

No published plan breakdown. See the YugabyteDB 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.
ClickHouse review

Choose YugabyteDB if

  • You need postgresql compatible.
  • You want to start without paying.
  • You work on Cloud, On-premises, Kubernetes.
  • You also want distributed sql.
YugabyteDB review

Questions people ask

Is ClickHouse or YugabyteDB better?
Neither clearly leads. ClickHouse starts at Free and YugabyteDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or YugabyteDB?
ClickHouse starts at Free and YugabyteDB at Free.
Does ClickHouse or YugabyteDB run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). YugabyteDB runs on Cloud, On-premises, Kubernetes.
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 YugabyteDB is typically brought in for.
What can ClickHouse do that YugabyteDB cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Data Compression. YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, High Availability. Both handle Linear Scalability, PostgreSQL, Linux support, Mac 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.

Source
YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?

No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.

Source
ClickHouse: 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.

Source
YugabyteDB: What isolation levels does YugabyteDB support?

YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.

Source
ClickHouse: 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.

Source
YugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?

Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.

Source
YugabyteDB: Can YugabyteDB scale compute and storage independently?

No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.

Source
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