vs

Apache Fluss vs Timeplus Proton

Apache Fluss: Columnar streaming storage for Flink with primary-key tables and tiering into the lakehouse. Timeplus Proton: A single C++ binary for streaming SQL, built on ClickHouse's engine with streams and windows.

key differences

  • Apache Fluss is built for larger datasets (≤ 1 PB) than Timeplus Proton (≤ 100 GB).
  • Horizontal scaling is native in Apache Fluss and none in Timeplus Proton.
  • Transactions: Apache Fluss offers limited ACID; Timeplus Proton offers none.
  • Only Apache Fluss has secondary indexes, change data capture.
  • Only Timeplus Proton has joins, json, materialized views.

choose apache-fluss for

  • +Real-time analytics pipelines on Flink
  • +Streaming lakehouse ingestion with fresh reads
  • +Lookup joins against changing dimension tables

best at · Streaming, Real-time analytics, Lakehouse

choose timeplus-proton for

  • +Streaming ETL from Kafka into ClickHouse
  • +Real-time observability and security analytics
  • +Edge or single-box streaming pipelines

best at · Streaming, Real-time analytics, Observability

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Key-Value
Relational, Time-Series
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Timeplus Inc.
First release
2024
2023
Latest version
1.0.0 (Sep 22, 2026)
3.0.31 (Sep 17, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
8.4
16.6
Rank
#323
#199
GitHub stars
2.2K
2.3K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Small (≤ 100 GB)
Horizontal scaling
Native
None
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Eventual
Schema
Strict
Strict
Architecture
Distributed, Client server
Single node, 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
Flink SQL, Spark SQL
SQL (ClickHouse dialect with streaming extensions)
Client languages
Java
Python, Go, Java, JavaScript
Best for
Streaming, Real-time analytics, Lakehouse
Streaming, Real-time analytics, Observability, IoT

Apache Fluss vs Timeplus Proton: FAQ

What is the difference between Apache Fluss and Timeplus Proton?

Apache Fluss: Columnar streaming storage for Flink with primary-key tables and tiering into the lakehouse. Timeplus Proton: A single C++ binary for streaming SQL, built on ClickHouse's engine with streams and windows. Apache Fluss is built for larger datasets (≤ 1 PB) than Timeplus Proton (≤ 100 GB). Horizontal scaling is native in Apache Fluss and none in Timeplus Proton. Transactions: Apache Fluss offers limited ACID; Timeplus Proton offers none.

When should I choose Apache Fluss over Timeplus Proton?

Choose Apache Fluss for real-time analytics pipelines on Flink, streaming lakehouse ingestion with fresh reads and lookup joins against changing dimension tables. Choose Timeplus Proton for streaming ETL from Kafka into ClickHouse; real-time observability and security analytics; and edge or single-box streaming pipelines.

Is Apache Fluss or Timeplus Proton more popular?

Timeplus Proton ranks #199 on the WhichDB Score (16.6/100) and Apache Fluss ranks #323 (8.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Fluss and Timeplus Proton open source?

Yes. Apache Fluss is open source. License: Apache License 2.0. Yes. Timeplus Proton is open source. License: Apache License 2.0.