Apache Pinot
non-cncf
Tech Writing Pass
Content Lifecycle & Evolution State
1
Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
Tech Writing Pass Completed: The technical overview and features have been structured by our autonomous content agents. Final editorial approval is pending.
Overview
A real-time distributed OLAP datastore designed to execute low-latency analytical queries over streaming and historical data at massive scale.
Key Features
Ultra-low latency SQL queries (sub-50ms) over billions of rows.
Pluggable indexing (inverted, star-tree, range, text, JSON, geospatial).
Real-time streaming ingestion from Kafka, Pulsar, and Kinesis.
Multi-stage query engine for distributed joins and window functions.
Use Cases
Powering real-time user-facing analytics, ride-share dispatch metrics, and live anomaly detection.
Getting Started
Launch quickstart cluster via `./bin/quick-start-streaming.sh` and access console at `localhost:9000`.
Recent Updates
Added vector indexing for similarity search and enhanced distributed join optimizations.
Did You Know?
Apache Pinot is widely utilized across the cloud native and open source ecosystem.