Apache Druid vs ClickHouse

Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data. ClickHouse: Open-source columnar OLAP database known for very fast aggregations over billions of rows.

key differences

Only ClickHouse has full-text search, vector search, materialized views, encryption at rest, online schema changes.
ClickHouse has a serverless option; Apache Druid does not.

choose apache-druid for

+User-facing analytics dashboards
+Clickstream and ad-tech analytics
+Network and application telemetry
+Real-time operational monitoring

best at · Real-time analytics, OLAP, Time-series

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

Apache DruidReal-time analytics database for sub-second slice-and-dice over streaming event data.

ClickHouseOpen-source columnar OLAP database known for very fast aggregations over billions of rows.

overview

Primary model

Columnar / OLAP

Also supports

Time-Series, Relational

Relational, Document, Vector, Time-Series

Type

Database engine

Status

Active

Developer

Apache Software Foundation

ClickHouse, Inc.

First release

2012

2016

Latest version

38.0.0 (Oct 1, 2026)

26.10.2.103 (Oct 24, 2026)

License

Open source (permissive)Apache License 2.0

Free tier

✓

popularity

WhichDB Score

35.0

69.8

Rank

#58

#10

GitHub stars

14.1K

50.6K

Stack Overflow questions

620

2.2K

scale & guarantees

Comfortable data size

Massive (Multi-PB)

Horizontal scaling

Native

Multi-region

None

Read replicas

ACID

Limited

Consistency

Eventual

Schema

Flexible

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

Druid SQL, Druid native JSON queries

SQL (ClickHouse dialect), PRQL, KQL (experimental)

Client languages

Java, Python, Go, JavaScript

Python, Go, Java, JavaScript, Rust, C++, C#

Best for

Real-time analytics, OLAP, Time-series, Observability

Real-time analytics, OLAP, Observability, Warehouse

Add more to this comparison Not sure either fits? Try smart match

Apache Druid vs ClickHouse: FAQ

What is the difference between Apache Druid and ClickHouse?

Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data. ClickHouse: Open-source columnar OLAP database known for very fast aggregations over billions of rows. Only ClickHouse has full-text search, vector search, materialized views, encryption at rest, online schema changes. ClickHouse has a serverless option; Apache Druid does not.

When should I choose Apache Druid over ClickHouse?

Choose Apache Druid for user-facing analytics dashboards; clickstream and ad-tech analytics; and network and application telemetry. Choose ClickHouse for product and web analytics; log and observability backends; and real-time dashboards over event streams.

Is Apache Druid or ClickHouse more popular?

ClickHouse ranks #10 on the WhichDB Score (69.8/100) and Apache Druid ranks #58 (35.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Druid and ClickHouse open source?

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