vs

Apache Doris vs Apache Pinot

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates.

key differences

  • Apache Pinot is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB).
  • Transactions: Apache Doris offers limited ACID; Apache Pinot offers none.
  • Only Apache Doris has 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-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

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Search Engine, Vector
Relational, Time-Series
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2017
2015
Latest version
4.1.5 (Oct 15, 2026)
1.5.1 (Jun 5, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.9
29.9
Rank
#201
#88
GitHub stars
16.1K
6.2K
Stack Overflow questions
32
23
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, 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)
SQL (Calcite-based)
Client languages
Java, Python, Go, JavaScript, C++
Java, Python, Go, JavaScript, C#
Best for
Real-time analytics, OLAP, Lakehouse, Observability
Real-time analytics, OLAP, Observability

Apache Doris vs Apache Pinot: FAQ

What is the difference between Apache Doris and Apache Pinot?

Apache Doris: Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access. Apache Pinot: Real-time OLAP store from LinkedIn for user-facing analytics at very high query rates. Apache Pinot is built for larger datasets (Multi-PB) than Apache Doris (≤ 1 PB). Transactions: Apache Doris offers limited ACID; Apache Pinot offers none. Only Apache Doris has materialized views, online schema changes.

When should I choose Apache Doris over Apache Pinot?

Choose Apache Doris for real-time reporting and dashboards; log and observability analytics; and lakehouse query acceleration. Choose Apache Pinot for user-facing analytics in products; real-time business metrics and anomaly detection; and ad and marketplace analytics.

Is Apache Doris or Apache Pinot more popular?

Apache Pinot ranks #88 on the WhichDB Score (29.9/100) 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 Pinot open source?

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