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Apache Druid vs ClickHouse

Apache Druid logo

Apache Druid

Software

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Full reviewWebsite
ClickHouse logo

ClickHouse

Software

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • They diverge on capability: Apache Druid covers Real-time Ingestion, ClickHouse covers Real-time Analytics.

Where they differ

Only the attributes on which Apache Druid and ClickHouse actually diverge.

Attributes where Apache Druid and ClickHouse differ
AttributeApache DruidClickHouse
Pricing modelopen-sourceUnknown
PlatformsDocker, Kubernetes, Native deployment (Java-based)Linux, macOS, Windows (via Docker)
Founded19992021

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 Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Hadoop
  • Spark

Only in ClickHouse

  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • S3
  • MySQL

Both cover

  • Column-oriented Storage
  • Kafka
  • Linux support
  • Docker support
  • Kubernetes support

What people use each for

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

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot ClickHouse
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not ClickHouse
  • Time-series and event analysis at massive scale with columnar storage efficiencynot ClickHouse

ClickHouse

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

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

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.
Apache Druid review

Choose ClickHouse if

  • You need real-time analytics.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want sql support.
ClickHouse review

Questions people ask

Is Apache Druid or ClickHouse better?
Neither clearly leads. Apache Druid starts at Free and ClickHouse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or ClickHouse?
Apache Druid starts at Free and ClickHouse at Free.
Does Apache Druid or ClickHouse run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). ClickHouse runs on Linux, macOS, Windows (via Docker).
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what ClickHouse is typically brought in for.
What can Apache Druid do that ClickHouse cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Streaming Integration, Approximate Algorithms. ClickHouse covers Real-time Analytics, SQL Support, Linear Scalability, Data Compression. Both handle Column-oriented Storage, Kafka, Linux support, Docker 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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