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Apache Druid vs StarRocks

Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.

key differences

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

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 starrocks for

  • +Real-time dashboards with joins
  • +Lakehouse query acceleration over Iceberg
  • +Customer-facing analytics
  • +Replacing pre-aggregated cubes

best at · Real-time analytics, OLAP, Lakehouse

Apache DruidReal-time analytics database for sub-second slice-and-dice over streaming event data.
StarRocksMPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Time-Series, Relational
Relational, Document, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
StarRocks (Linux Foundation; CelerData)
First release
2012
2020
Latest version
38.0.0 (Oct 1, 2026)
4.1.3 (Sep 17, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
35.0
15.6
Rank
#58
#210
GitHub stars
14.1K
12.2K
Stack Overflow questions
620
11
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Eventual
Strong
Schema
Flexible
Strict
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
Druid SQL, Druid native JSON queries
SQL (MySQL dialect)
Client languages
Java, Python, Go, JavaScript
Java, Python, Go, JavaScript, C++
Best for
Real-time analytics, OLAP, Time-series, Observability
Real-time analytics, OLAP, Lakehouse, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Apache Druid vs StarRocks: FAQ

What is the difference between Apache Druid and StarRocks?

Apache Druid: Real-time analytics database for sub-second slice-and-dice over streaming event data. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries. Apache Druid is built for larger datasets (Multi-PB) than StarRocks (≤ 1 PB). Only Apache Druid has geospatial. Only StarRocks has full-text search, vector search, materialized views, online schema changes.

When should I choose Apache Druid over StarRocks?

Choose Apache Druid for user-facing analytics dashboards; clickstream and ad-tech analytics; and network and application telemetry. Choose StarRocks for real-time dashboards with joins, lakehouse query acceleration over Iceberg and customer-facing analytics.

Is Apache Druid or StarRocks more popular?

Apache Druid ranks #58 on the WhichDB Score (35.0/100) and StarRocks ranks #210 (15.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Druid and StarRocks open source?

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