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Apache Doris vs Apache Kylin

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Kylin: OLAP engine that pre-computes cubes and aggregate indexes for sub-second SQL on huge datasets.

key differences

  • Apache Kylin is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB).
  • Transactions: Apache Doris offers limited ACID; Apache Kylin offers none.
  • Only Apache Doris has secondary indexes, full-text search, vector search, geospatial, json.

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-kylin for

  • +Enterprise BI dashboards with fixed dimensions
  • +Replacing legacy MOLAP cubes
  • +High-concurrency reporting

best at · OLAP, Warehouse

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Search Engine, Vector
Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2017
2014
Latest version
4.1.5 (Oct 15, 2026)
5.0.5 (Jul 13, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.9
16.9
Rank
#201
#196
GitHub stars
16.1K
3.8K
Stack Overflow questions
32
154
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Eventual
Schema
Flexible
Strict
Architecture
Distributed, Shared storage
Distributed, Client server
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)
SQL (ANSI)
Client languages
Java, Python, Go, JavaScript, C++
Java, Python
Best for
Real-time analytics, OLAP, Lakehouse, Observability
OLAP, Warehouse

Apache Doris vs Apache Kylin: FAQ

What is the difference between Apache Doris and Apache Kylin?

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Kylin: OLAP engine that pre-computes cubes and aggregate indexes for sub-second SQL on huge datasets. Apache Kylin is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB). Transactions: Apache Doris offers limited ACID; Apache Kylin offers none. Only Apache Doris has secondary indexes, full-text search, vector search, geospatial, json.

When should I choose Apache Doris over Apache Kylin?

Choose Apache Doris for real-time reporting and dashboards; log and observability analytics; and lakehouse query acceleration. Choose Apache Kylin for enterprise BI dashboards with fixed dimensions, replacing legacy MOLAP cubes and high-concurrency reporting.

Is Apache Doris or Apache Kylin more popular?

Apache Kylin ranks #196 on the WhichDB Score (16.9/100) 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 Kylin open source?

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