reactive event data processing at scale is an opinionated event data processing platform designed for small to xxl distributed scenarios.

It utilizes the power of akka-streams wrapped in an easy-to-use configuration, deployment and execution framework.

Three simple steps to execution

Adjust. Deploy. RUN.

Build and change all of your event data processing needs in a few simple steps.

Step 1: Create & Adjust

Configure your event data workflows

Create an unlimited number of workflows for any processing need with the comprehensive Web-UI.

Combine real-time and batch.

Connect to anything.

Step 2: Deploy

Auto-Deploy to Target

Put your setup to work through one-click deployment and without downtime. Also works with CI tools and your DevOps setup.

Store an unlimited number of setups on your Cluster for fast switch-over from version to version.

Step 3: Run

Run, Operate, and Monitor

Run, operate and monitor via the Web-UI.

Connects and feeds metrics right into popular metric and log monitors such as Prometheus, Splunk etc.

mobilcom-debitel logo

At freenet, integrates numerous high-volume services and databases from private and public cloud.

It has replaced our legacy mission-critical solution with a cloud-native, resilient, scalable and real-time architecture. As a result, we are able to handle massive volume, have become more agile, and have reduced resources by an impressive 75%.

We made a first-class citizen in our technology stack and are working on further deployments.

Thomas Reimann freenet
Thomas Reimann
Head of Billing & Backend, freenet
freenet is Europe's largest MVNO and Digital Lifestyle Provider with more than 10 million customers.

Powerful Data Integration

The one event data processor you will need

A perfect combination between UI-assisted configuration and low-code business-logic.


It’s fast, really fast. And this translates to minimized latency, smaller hardware and much less cost.


Automatically adapts to changing workloads and balances across nodes based on intelligent algorithms.


Connects to all popular and not so popular data sources and sinks. Both in real-time and batch.


Deploys locally on a single node, or in geographically scattered environments as if it were one system.


Nodes take on other Node's work until rejoin.


Works on current Linux, MacOS and Windows operating system versions.


Supports any processing and service scenario, no matter how individual by mere configuration.

One-click deployment

Deploy even to a multiple nodes with only one-click.