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Apache Doris vs Apache Druid

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data.

key differences

  • Apache Druid is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB).
  • Only Apache Doris has full-text search, vector search, materialized views, online schema changes.

choose apache-doris for

  • +Real-time reporting and dashboards
  • +Log and observability analytics
  • +Lakehouse query acceleration
  • +User behavior and ad analytics

best at · Real-time analytics, OLAP, Lakehouse

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

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Search Engine, Vector
Time-Series, Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2017
2012
Latest version
4.1.5 (Oct 15, 2026)
38.0.0 (Oct 1, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.9
35.0
Rank
#201
#58
GitHub stars
16.1K
14.1K
Stack Overflow questions
32
620
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Eventual
Schema
Flexible
Flexible
Architecture
Distributed, Shared storage
Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
–
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 (MySQL dialect)
Druid SQL, Druid native JSON queries
Client languages
Java, Python, Go, JavaScript, C++
Java, Python, Go, JavaScript
Best for
Real-time analytics, OLAP, Lakehouse, Observability
Real-time analytics, OLAP, Time-series, Observability

Apache Doris vs Apache Druid: FAQ

What is the difference between Apache Doris and Apache Druid?

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data. Apache Druid is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB). Only Apache Doris has full-text search, vector search, materialized views, online schema changes.

When should I choose Apache Doris over Apache Druid?

Choose Apache Doris for real-time reporting and dashboards; log and observability analytics; and lakehouse query acceleration. Choose Apache Druid for user-facing analytics dashboards; clickstream and ad-tech analytics; and network and application telemetry.

Is Apache Doris or Apache Druid more popular?

Apache Druid ranks #58 on the WhichDB Score (35.0/100) and Apache Doris ranks #201 (15.9/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Doris and Apache Druid open source?

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