Software · head to head
ClickHouse vs Apache Druid
ClickHouse
Software
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- 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; Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: ClickHouse covers Real-time Analytics, Apache Druid covers Real-time Ingestion.
Where they differ
Only the attributes on which ClickHouse and Apache Druid actually diverge.
| Attribute | ClickHouse | Apache Druid |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Linux, macOS, Windows (via Docker) | Docker, Kubernetes, Native deployment (Java-based) |
| Founded | 2021 | 1999 |
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
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- S3
- MySQL
Only in Apache Druid
- Real-time Ingestion
- Sub-second Queries
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Hadoop
- Spark
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.
ClickHouse
- Business intelligencenot Apache Druid
- Data warehousingnot Apache Druid
- Real-time analyticsnot Apache Druid
- Reportingnot Apache Druid
- Machine learningnot Apache Druid
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
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
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
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Which should you pick?
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.
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.
Questions people ask
- Is ClickHouse or Apache Druid better?
- Neither clearly leads. ClickHouse starts at Free and Apache Druid at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Apache Druid?
- ClickHouse starts at Free and Apache Druid at Free.
- Does ClickHouse or Apache Druid run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based).
- 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 Apache Druid is typically brought in for.
- What can ClickHouse do that Apache Druid cannot?
- ClickHouse covers Real-time Analytics, SQL Support, Linear Scalability, Data Compression. Apache Druid covers Real-time Ingestion, Sub-second Queries, Streaming Integration, Approximate Algorithms. 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.
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.
Source