Software · head to head
Apache Pinot vs ClickHouse
Apache Pinot
Software
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -
ClickHouse
Software
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- They diverge on capability: Apache Pinot covers Column-oriented, ClickHouse covers Column-oriented Storage.
Where they differ
Only the attributes on which Apache Pinot and ClickHouse actually diverge.
| Attribute | Apache Pinot | ClickHouse |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Linux, Docker, Kubernetes | Linux, macOS, Windows (via Docker) |
| Founded | 1999 | 2021 |
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 Pinot
- Column-oriented
- Distributed Processing
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Spark
- Presto
- Superset
Only in ClickHouse
- Column-oriented Storage
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- S3
- MySQL
- PostgreSQL
Both cover
- Real-time Analytics
- SQL Support
- Kafka
- Linux support
- Docker support
- Kubernetes support
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot ClickHouse
- User-facing dashboards inside a productnot ClickHouse
- Real-time metrics at high ingest ratesnot ClickHouse
- Petabyte-scale analytics as run at LinkedIn and Ubernot ClickHouse
ClickHouse
- Business intelligencenot Apache Pinot
- Data warehousingnot Apache Pinot
- Real-time analyticsnot Apache Pinot
- Reportingnot Apache Pinot
- Machine learningnot Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
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 Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Which should you pick?
Choose Apache Pinot if
- You need column-oriented.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want distributed processing.
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 linear scalability.
Questions people ask
- Is Apache Pinot or ClickHouse better?
- Neither clearly leads. Apache Pinot 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 Pinot or ClickHouse?
- Apache Pinot starts at Free and ClickHouse at Free.
- Does Apache Pinot or ClickHouse run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. ClickHouse runs on Linux, macOS, Windows (via Docker).
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what ClickHouse is typically brought in for.
- What can Apache Pinot do that ClickHouse cannot?
- Apache Pinot covers Column-oriented, Distributed Processing, Pluggable Indexing, Star-tree Index. ClickHouse covers Column-oriented Storage, Linear Scalability, Data Compression, Vectorized Query Execution. Both handle Real-time Analytics, SQL Support, Kafka, Linux 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