IoT

Stream Processing Where No One Else Can

Bytewax is the ideal solution for processing IoT data streams in complex air-gapped or edge environments with low footprint requirements and network connectivity issues like ships, power plants, and satellites.

Use Cases from Our Community

Stream Processing for the Most Challenging Environments

With minimal infrastructure requirements, Bytewax ensures robust, efficient stream processing is accessible everywhere, revolutionizing how IoT deployments leverage real-time data under any conditions.

DSP

Digital Signal Processing

Bytewax facilitates real-time digital signal processing both at the edge and in the cloud, supporting a wide range of applications, including satellite communications and energy grid monitoring.

Real-time ML

Anomaly Detection

Bytewax can process real-time IoT data with machine learning models to enhance anomaly detection, efficiently predicting equipment failures and spotting unusual activity, which effectively reduces downtime and extends asset lifespan.

Monitoring

Sensor Analysis

Bytewax enables real-time processing and analysis of data from environmental sensors. This facilitates early warning systems, predictive modeling, and real-time decision-making for environmental protection and disaster response.

Iot Connectors

Popular Connectors among Our IoT Community

Amazon MSK
Connector

Amazon MSK

Sink & Source Open source
Amazon IoT Hub
Connector

Azure IoT Data Hub

Sink Premium
Azure Event Hubs
Connector

Azure EventHub

Sink & Source Premium
Redpanda
Connector

Redpanda

Sink & Source Open source
Connector

InfluxDB

Sink & Source Premium
Apache Kafka
Connector

Apache Kafka

Sink & Source Open source
Reference Architecture

Process Real-Time Datastreams on the Edge and Cloud

iot_architecture.png

Bytewax's edge processing capability opens up new possibilities for IoT stream processing architectures. It allows for aggregating streams and running initial ML workloads on edge devices, with more powerful ML and streaming processes handled in the cloud.

Community projects

Check how the IoT community is using Bytewax

weather
This project uses OpenWeather’s API, Kafka, Bytewax, and Streamlit to build a real-time weather dashboard. Data flows from OpenWeather through Kafka, where Bytewax transforms it in real time, and a Kafka Consumer updates the Streamlit dashboard with the latest metrics.
2Apache License 2.0View on GitHub
f1replay
This project uses canned F1 telemetry data from fastf1, along with Bytewax and Rerun, to replay F1 practice sessions, qualifying, and races with live track visualization and telemetry data, including speed, throttle, RPM, and gear.
2MIT LicenseView on GitHub
nortech-python
Nortech delivers a complete end-to-end IoT solution for the maritime industry, offering data extraction and customizable KPI visualization.
7Apache License 2.0View on GitHub
regionintelligence
This platform aggregates municipal data to provide a comprehensive view of real estate developments and re-zoning projects, featuring a map that visualizes current planning data from Orange County cities. An LLM is used to interpret building codes, while Bytewax handles data ingestion to streamline data processing.