Solution Feature
Developer tools open up the IoT Data Hub for individual applications, integrations and data-driven workflows. Teams can build their own UIs, services, operators and AI-related extensions on the same platform without having to redesign the data foundation.
Discuss use caseBuilt for engineering teams
All core functions are available via authenticated REST APIs. In addition, we offer client libraries for Java, Python and Go for seamless integration.
In scale mode, you can provision connectors and pipelines programmatically instead of via the web UI. Live and historical data is available at any time via API - for your teams' external applications.
For enterprise environments, this means clear integration boundaries, reproducible deployments and fewer special solutions per plant.
The same open interfaces are also used by AI notebooks, AI pipelines and customer-specific applications. This means that the platform remains technically consistent even as its functional depth increases.
Build your own pipeline blocks, proprietary fieldbus drivers or specialized time series operators. The SDK defines inputs, validation and parameters and creates a block that integrates cleanly into the platform.
Execute long-running analyses with your own Java or Python code. Functions process live data, calculate results and publish new streams or features for downstream applications, dashboards or AI workflows.
Made for builders
Deliver internal apps, analytics and automation without rebuilding the foundation.
Integrate Bytefabrik into your IT stack with APIs and client libraries.
Securely expand without lock-in and protect long-term investments.
Develop your own adapters, functions and UI modules once and use them across multiple projects.
New developers start much more productively with clear APIs, SDKs and existing modules.
Demo
Arrange a demo to get to know the platform, analysis and AI functions based on your questions.