Datalayer Integrations
This section explains how Datalayer integrates with external platforms and ecosystem tools.
The integration guides focus on connecting existing user environments to Datalayer services without changing your core platform architecture.
Available integration guides
The current integration catalog includes:
- JupyterHub Integration: connect Datalayer runtimes and services to JupyterHub-based user workflows.
Recommended integration sequence
- Deploy and validate the Datalayer platform first: Deployments and Services.
- Configure identity, runtime, and networking prerequisites for your external platform.
- Apply the integration guide for your target framework.
- Validate end-user flow (authentication, runtime launch, and workload execution).
As new frameworks are added, they will appear under this page.
If you need architecture review or implementation help, contact Support.
📄️ JupyterHub
Datalayer is engineered to function both as a standalone solution and in conjunction with industry standards like JupyterHub.