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Apache Pinot vs StarRocks

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.

key differences

  • Apache Pinot is built for larger datasets (Multi-PB) than StarRocks (≤ 1 PB).
  • Transactions: Apache Pinot offers none ACID; StarRocks offers limited.
  • Only Apache Pinot has geospatial.
  • Only StarRocks has materialized views, online schema changes.

choose apache-pinot for

  • +User-facing analytics in products
  • +Real-time business metrics and anomaly detection
  • +Ad and marketplace analytics
  • +Operational dashboards on streaming data

best at · Real-time analytics, OLAP, Observability

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 PinotReal-time OLAP store from LinkedIn for user-facing analytics at very high query rates.
StarRocksMPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Time-Series
Relational, Document, Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
StarRocks (Linux Foundation; CelerData)
First release
2015
2020
Latest version
1.5.1 (Jun 5, 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
29.9
15.6
Rank
#88
#210
GitHub stars
6.2K
12.2K
Stack Overflow questions
23
11
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
Limited
Consistency
Eventual
Strong
Schema
Strict
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
SQL (Calcite-based)
SQL (MySQL dialect)
Client languages
Java, Python, Go, JavaScript, C#
Java, Python, Go, JavaScript, C++
Best for
Real-time analytics, OLAP, Observability
Real-time analytics, OLAP, Lakehouse, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Apache Pinot vs StarRocks: FAQ

What is the difference between Apache Pinot and StarRocks?

Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. StarRocks: MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries. Apache Pinot is built for larger datasets (Multi-PB) than StarRocks (≤ 1 PB). Transactions: Apache Pinot offers none ACID; StarRocks offers limited. Only Apache Pinot has geospatial.

When should I choose Apache Pinot over StarRocks?

Choose Apache Pinot for user-facing analytics in products; real-time business metrics and anomaly detection; and ad and marketplace analytics. Choose StarRocks for real-time dashboards with joins, lakehouse query acceleration over Iceberg and customer-facing analytics.

Is Apache Pinot or StarRocks more popular?

Apache Pinot ranks #88 on the WhichDB Score (29.9/100) and StarRocks ranks #210 (15.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Pinot and StarRocks open source?

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