Numaflow¶

Numaflow is a Kubernetes-native tool for running massively parallel stream processing. A Numaflow Pipeline is implemented as a Kubernetes custom resource and consists of one or more source, data processing, and sink vertices.

Numaflow installs in a few minutes and is easier and cheaper to use for simple data processing applications than a full-featured stream processing platforms.

Use Cases¶

Real-time data analytics applications.
Event driven applications such as anomaly detection, monitoring, and alerting.
Streaming applications such as data instrumentation and data movement.
Workflows running in a streaming manner.
Learn more in our User Guide.

Key Features¶

Kubernetes-native: If you know Kubernetes, you already know how to use Numaflow.
Language agnostic: Use your favorite programming language.
Exactly-Once semantics: No input element is duplicated or lost even as pods are rescheduled or restarted.
Auto-scaling with back-pressure: Each vertex automatically scales from zero to whatever is needed.

Data Integrity Guarantees¶

Minimally provide at-least-once semantics
Provide exactly-once semantics for unbounded and near real-time data sources
Preserving order is not required

Roadmap¶

Session Window (1.2)

Demo¶

Getting Started¶

For set-up information and running your first Numaflow pipeline, please see our getting started guide.