from our talks at ApacheCon North America and Flink Forward Europe are now available!

Self-Service IoT Data Analytics with StreamPipes

The Open Source toolbox for the Industrial IoT.
Easy to use and extensible.
Runs on-premise in your own infrastructure.

01.

Connect

Integrate data sets and data streams using the built-in StreamPipes Connect library with support for generic protocols such as HTTP, Kafka, MQTT, OPC-UA, Files or specific adapters for open data sources.


Some included adapters and integrations:

Apache Kafka, Apache Pulsar, Apache PLC4X, Robot Operating System (ROS), Mysql, OPC-UA, MQTT and more.

StreamPipes Connect

02.

Analyze

Harmonize and analyze data by using the real-time algorithm toolbox ranging from simple filters up to pre-trained neural networks - or build your own algorithm with the provided SDK.


Some included data processors:

Trend Detection, Peak Detection, Numerical Filter, Sequence, Boilerplate Removal, Event Rate, Field Converter, Frequency Calculation, Generic image Classification, Measurement Unit Converter, Projection, Timestamp Enricher, Trigonometry Functions and many more.

Pipeline Editor

03.

Exploit

Trigger notifications, configure your real-time dashboard or send data to third-party systems such as databases (e.g., Kafka or Elasticsearch), external services (e.g., Slack) or IoT actuators.


Some included data sinks:

Apache Kafka, Apache Pulsar, Apache CouchDB, Apache IoTDB, OPC-UA, RabbitMQ, Email, Slack, Internal Notification, PostgreSQL and more.

Live Dashboard

StreamPipes

Self-Service Data Analytics

StreamPipes is the first solution that makes real-time big data accessible to everyone: Our graphical modeler allows business analysts to define processing pipelines in an ad-hoc manner, without the need for big data experts or data scientists.