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Data sovereignty

Use machine data. Control deployment and access.

You won't find a more open solution: A mature open-source foundation, on-premises operation, and full control over the model providers used for AI features minimize lock-in effects.

Open · Operational · Expandable

Data sovereignty as an architectural principle

We take data sovereignty seriously in every aspect of our work. With an open-source platform that we’re developing through an independent foundation, you can be sure that your data not only stays with you but is also managed cost-effectively.

  1. Open source basis

    With Apache StreamPipes, we rely on an open platform core that Bytefabrik initiated and has played a key role in developing. You benefit from one of the most open, secure, and powerful IIoT platforms in the world.

  2. On-premises operation

    Our software runs entirely on your infrastructure. An end-to-end solution reduces the complexity of the application landscape.

  3. Open interfaces and SDKs

    Our software offers numerous interfaces for exchanging data with third-party systems at any time.

  4. Governance and traceability

    Even the open-source foundation includes everything that large companies require, from fine-grained access control to audit logs.

Open source for industrial data streams

Apache StreamPipes as a foundation

Bytefabrik initiated Apache StreamPipes, continues to develop the software to this day as the lead developer, and enhances it for production-ready industrial environments. Apache StreamPipes provides connectors, pipelines, and visualization modules. Bytefabrik is the ideal partner for extensions and support.

  • Open APIs, data models, and integration modules
  • Expandability via own adapters and processors
  • Independence Through Development Within the Apache Software Foundation
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Connector and schema editor

Deployment

Operation under your control

The platform typically runs on-premises within your infrastructure and can be integrated with existing security, network, and governance policies. This ensures that all responsibilities, data management, and system boundaries remain under internal control.

  • On-premise or private cloud operation
  • Integration into identity, OT and IT systems
  • Further development via SDKs and open interfaces
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Role and user management

A confident approach to AI adoption.

Our AI modules are optional and can be connected to local models.

We also take an open approach to AI. Intelligent modules such as AI pipelines and AI notebooks help minimize the time required for data preparation and reporting. You choose the model provider and the APIs to be used.

AI notebooks
01Sovereign AI building blocks

AI notebooks

Describe an analytical question and review the generated Python code. The code is executed locally. The language model never sees the actual data.

View AI Laptops

Technical control instead of platform dependency

Why Sovereignty Is Important

For us, data sovereignty isn’t just a buzzword. Our open-source platform includes everything needed for professional machine data management and also meets the requirements of large enterprises. Compare us to the competition!

Traceable over the long term

We are developing Apache StreamPipes as an open-source project under the Apache Software Foundation. Our software has been downloaded over 50,000 times and is in use worldwide. Anyone can contribute to this development process.

Data Sovereignty

This is particularly relevant in production environments with sensitive process, quality, or product data: All data remains within your infrastructure.

30-minute product demo

Evaluate the IoT Data Hub for your environment

We show connectivity, analytics, and AI assistance in the platform. Together, we discuss deployment, data access, and the requirements for an initial pilot.

Request a 30-minute demo