Introduction to Flow

This section explains how to use Axiom’s Flow feature to filter, shape, and route event data.

Flow provides onward event processing, including filtering, shaping, and routing. Flow works after persisting data in Axiom’s highly efficient queryable store, and uses APL to define processing.

Flow is currently in preview. To try it out, sign up for a free account.

Elements of a flow

A flow consists of three elements:

• Source. This is the Axiom dataset used as the flow origin.
• Transformation. This is the APL query used to filter, shape, and enrich the events.
• Destination. This is where events are routed.

Flow types

There are three types of flows:

• One-time flows are one-off operations that process past data for a specific time range and route the output to a destination.
• Scheduled flows are repeated operations that process past data on a specific schedule and periodically route the outputs to a destination.
• Continuous flows are continuously running operations that process your incoming data and route the outputs to a destination in real-time.

Flow is currently in preview, with support for one-time and continuous flows.

To get started with Flow, see Configure Flow.

For more information on the measures Axiom takes to protect sensitive data, see Data security in Flow.