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MatrixOne vs StarRocks

MatrixOne: MySQL-compatible cloud-native HTAP database on object storage, with vector search and snapshots. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.

key differences

  • MatrixOne is primarily a relational database; StarRocks is columnar / OLAP.
  • StarRocks is built for larger datasets (≤ 1 PB) than MatrixOne (≤ 10 TB).
  • Transactions: MatrixOne offers full ACID; StarRocks offers limited.
  • Only MatrixOne has transactions, change data capture, time travel.
  • Only StarRocks has materialized views, ttl / expiry, online schema changes.
  • MatrixOne has a serverless option; StarRocks does not.

choose matrixone for

  • +Consolidating MySQL plus a warehouse into one HTAP engine
  • +IoT and time-series ingestion with analytics
  • +RAG applications needing vectors and SQL together
  • +Cost-sensitive analytics on object storage

best at · HTAP, OLTP, OLAP

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

overview
Primary model
Relational
Columnar / OLAP
Also supports
Columnar / OLAP, Vector, Time-Series
Relational, Document, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
MatrixOrigin
StarRocks (Linux Foundation; CelerData)
First release
2021
2020
Latest version
4.2.6 (Oct 18, 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
6.1
15.6
Rank
#369
#210
GitHub stars
2.1K
12.2K
Stack Overflow questions
–
11
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Full
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Shared storage, Client server, Serverless
Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Alibaba Cloud
–
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
SQL (MySQL dialect)
Client languages
Java, Go, Python, JavaScript, C#
Java, Python, Go, JavaScript, C++
Best for
HTAP, OLTP, OLAP, Vector search
Real-time analytics, OLAP, Lakehouse, Warehouse

MatrixOne vs StarRocks: FAQ

What is the difference between MatrixOne and StarRocks?

MatrixOne: MySQL-compatible cloud-native HTAP database on object storage, with vector search and snapshots. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries. MatrixOne is primarily a relational database; StarRocks is columnar / OLAP. StarRocks is built for larger datasets (≤ 1 PB) than MatrixOne (≤ 10 TB). Transactions: MatrixOne offers full ACID; StarRocks offers limited.

When should I choose MatrixOne over StarRocks?

Choose MatrixOne for consolidating MySQL plus a warehouse into one HTAP engine; IoT and time-series ingestion with analytics; and RAG applications needing vectors and SQL together. Choose StarRocks for real-time dashboards with joins, lakehouse query acceleration over Iceberg and customer-facing analytics.

Is MatrixOne or StarRocks more popular?

StarRocks ranks #210 on the WhichDB Score (15.6/100) and MatrixOne ranks #369 (6.1/100). Popularity is not fit: check the requirements that matter for your project.

Are MatrixOne and StarRocks open source?

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