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Platform features

DATAMIMIC Platform provides the operational environment around the DATAMIMIC Core. Core model syntax, generators, sources, targets, expressions, and runtime rules are documented in the Model reference, Generator reference, and Scripting API published with the pinned Core release.

Projects and workspaces

  • Create, import, and organise project files in the browser.
  • Link global projects to provide a read-only inherited project view.
  • Configure project and system environments without embedding credentials in models.
  • Use project-scoped access from the DATAMIMIC IDE extension.

Authoring and execution

  • Edit project files with hosted XML language support.
  • Build and verify DATAMIMIC models through the bounded Authoring workflow.
  • Run work immediately or schedule it through the Platform scheduler.
  • Inspect task status, logs, previews, and downloadable artifacts.

Data workflows

  • Explore database metadata and create project artifacts from selected tables and columns.
  • Scan supported data sources through Platform-managed connections.
  • Train, version, review, and select ML generator models (Enterprise Edition).
  • Keep per-session identifiers (client IDs), environment IDs, workspace files, and project paths scoped to the current project, so nothing leaks across projects.

Operations and integration

  • Trigger supported workflows through the Platform HTTP API.
  • Deploy the coordinated server, worker, scheduler, UI, and IDE release with the supported container and Helm workflows.
  • Manage users, groups, project access, and task evidence in one Platform installation.

See the Tutorial for Platform workflows and the Core-owned First DATAMIMIC model for verified model examples.