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Software · head to head

ClickHouse vs DataStax

ClickHouse logo

ClickHouse

Software

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

From
Free
Rated
-
Full reviewWebsite
DataStax logo

DataStax

Software

The real-time data company for AI applications

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; DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
  • They diverge on capability: ClickHouse covers Column-oriented Storage, DataStax covers Cassandra Compatible.

Where they differ

Only the attributes on which ClickHouse and DataStax actually diverge.

Attributes where ClickHouse and DataStax differ
AttributeClickHouseDataStax
Pricing modelUnknownfreemium
PlatformsLinux, macOS, Windows (via Docker)Web, Aws, Azure, Gcp
Founded20212010

Identical on both: starting price (Free), 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
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • S3

Only in DataStax

  • Cassandra Compatible
  • Vector Search
  • Serverless
  • Multi-cloud
  • Streaming
  • CDC
  • GraphQL API
  • LangChain

Both cover

  • Kafka
  • Web support

What people use each for

The jobs each tool is most often brought in to do.

ClickHouse

  • Business intelligencenot DataStax
  • Data warehousingnot DataStax
  • Real-time analyticsnot DataStax
  • Reportingnot DataStax
  • Machine learningnot DataStax

DataStax

  • 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

DataStax

  • DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
  • DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

DataStax

Free
  • FreeFree
    • 5GB storage
    • 40M read/write ops
    • Vector search
  • Pay As You GoFree
    • Usage-based pricing
    • Multi-region
    • 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.
ClickHouse review

Choose DataStax if

  • You need cassandra compatible.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want vector search.
DataStax review

Questions people ask

Is ClickHouse or DataStax better?
Neither clearly leads. ClickHouse starts at Free and DataStax at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or DataStax?
ClickHouse starts at Free and DataStax at Free.
Does ClickHouse or DataStax run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). DataStax runs on Web, Aws, Azure, Gcp.
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 DataStax is typically brought in for.
What can ClickHouse do that DataStax cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Both handle Kafka, Web 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
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
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
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Related pages

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