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For data engineers

Move faster without giving up the DAG.

Ordiva drafts the pipeline from intent. You keep the graph, the lineage, observable runs, and the final say on every script.

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What you keep

  • 01

    The DAG stays visible

    Sources, joins, validation, and outputs remain one graph you can edit by hand or through chat.

  • 02

    Lineage stays attached

    Each column traces back through the nodes that produced it.

  • 03

    Runs stay observable

    Run a node, a branch, or everything, then read status, logs, and artifacts in place.

  • 04

    Validation is a node

    Checks like every order has a customer are nodes with results you can open.

  • 05

    Code you can review

    Generated Python and SQL wait on the node until a person approves them.

  • 06

    History you can audit

    Manual, agent, and scheduled runs sit in one project history.

How the work flows

The full walkthrough
  1. 01

    Connect

    Drop files into chat or add a source node. Ordiva profiles each source as it arrives, so every later step starts from real columns.

    Explore the canvas
  2. 02

    Shape

    Describe the outcome. The agent proposes joins, checks, and transforms as nodes on the graph, each with the script it will run.

    Explore transformations
  3. 03

    Run

    Execute a node, a branch, or the full pipeline. New scripts pause for review, then each node writes its artifact and schema.

    Explore runs
  4. 04

    Ask

    Ask questions against the outputs the run saved. The answer stays tied to the artifact, its schema, and its lineage.

    Explore analysis

Capabilities you will use most

All capabilities

Ready to build a pipeline you can inspect?

Describe the outcome, inspect what the agent proposes, and run it when you trust it.

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How it worksConnect, shape, run, and ask, step by step.API referenceCreate an API key and call Ordiva from your own code.