THE DDL WORKSPACE

Core DDL workspace

Bring projects, source data, pipelines, SQL, results, and process observability into one environment—with AI assistance available alongside the work.

AI-assisted analysisHuman reviewOn-premise available
Core DDL workspace · workflow viewCapability flow
Selected sourcesProject data
DDL workspaceAI + pipelines + SQL
Useful outputsConfigured destinations
Purpose-built diagram to explain the capability. No live DDL data, model, or connector is used.
HOW IT FITS

One visible path from source to useful output.

DDL organizes data tasks into projects and workflows so teams can understand how selected information is prepared and where it goes next.

  1. 01Organize the work

    Keep related data sources, pipelines, and outputs together in a project.

  2. 02Prepare with visible steps

    Build repeatable workflows and inspect intermediate results.

  3. 03Bring AI into context

    Ask questions or explore a proposed plan against selected data and business definitions.

  4. 04Share the result

    Use configured outputs for reporting, analysis, or the next data workflow.

Connectors, transformations, and destinations depend on the configuration available to your organization. Exact workflows depend on the connectors and configuration available to your organization.

AI-CENTERED, HUMAN-REVIEWED
Keep the work connected to business context.

Delman has worked with enterprise data since 2018. DDL is available on-premise; model routes, permissions, and data paths depend on each organization’s configuration.

AI AT THE CENTER

See how an agent can work with selected data and team context.

Explore agentic AI