vs

Apache Pinot vs ClickHouse

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. ClickHouse: Open-source columnar OLAP database known for very fast aggregations over billions of rows.

key differences

  • Transactions: Apache Pinot offers none ACID; ClickHouse offers limited.
  • Only ClickHouse has materialized views, encryption at rest, online schema changes.
  • ClickHouse has a serverless option; Apache Pinot does not.

choose apache-pinot for

  • +User-facing analytics in products
  • +Real-time business metrics and anomaly detection
  • +Ad and marketplace analytics
  • +Operational dashboards on streaming data

best at · Real-time analytics, OLAP, Observability

choose clickhouse for

  • +Product and web analytics
  • +Log and observability backends
  • +Real-time dashboards over event streams
  • +Time-series and IoT metrics at scale

best at · Real-time analytics, OLAP, Observability

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Time-Series
Relational, Document, Vector, Time-Series
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
ClickHouse, Inc.
First release
2015
2016
Latest version
1.5.1 (Jun 5, 2026)
26.10.2.103 (Oct 24, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
29.9
69.8
Rank
#88
#10
GitHub stars
6.2K
50.6K
Stack Overflow questions
23
2.2K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
None
Limited
Consistency
Eventual
Eventual
Schema
Strict
Strict
Architecture
Distributed, Shared storage
Distributed, Shared storage, Single node, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
✓
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Google Cloud, Azure, Alibaba Cloud, Tencent Cloud, Aiven
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
✓
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
✓
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (Calcite-based)
SQL (ClickHouse dialect), PRQL, KQL (experimental)
Client languages
Java, Python, Go, JavaScript, C#
Python, Go, Java, JavaScript, Rust, C++, C#
Best for
Real-time analytics, OLAP, Observability
Real-time analytics, OLAP, Observability, Warehouse

Apache Pinot vs ClickHouse: FAQ

What is the difference between Apache Pinot and ClickHouse?

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. ClickHouse: Open-source columnar OLAP database known for very fast aggregations over billions of rows. Transactions: Apache Pinot offers none ACID; ClickHouse offers limited. Only ClickHouse has materialized views, encryption at rest, online schema changes. ClickHouse has a serverless option; Apache Pinot does not.

When should I choose Apache Pinot over ClickHouse?

Choose Apache Pinot for user-facing analytics in products; real-time business metrics and anomaly detection; and ad and marketplace analytics. Choose ClickHouse for product and web analytics; log and observability backends; and real-time dashboards over event streams.

Is Apache Pinot or ClickHouse more popular?

ClickHouse ranks #10 on the WhichDB Score (69.8/100) and Apache Pinot ranks #88 (29.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Pinot and ClickHouse open source?

Yes. Apache Pinot is open source. License: Apache License 2.0. Yes. ClickHouse is open source. License: Apache License 2.0.