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Quickstart

Tutorial

Get from zero to your first running workflow in about ten minutes. This page walks you through creating an account, registering a connection, building a two-node flow, and watching it execute.

When to use the Quickstart

If you've never used DataLug before, start here. The walkthrough touches every part of the platform end-to-end, so once you finish it the rest of the docs will feel familiar. Already have an account? Skip to Your first workflow.

What you'll build​

  1. Create your workspace
    Sign in at platform.datalug.io and confirm your email. Free-plan workspaces are 30-day trials with the full feature set.
  2. Register a connection
    Connections page > New connection. Pick PostgreSQL (or any system you have credentials for), fill the basics, and click Test Connection. The wizard validates reachability before persisting.
  3. Build a two-node flow
    Projects page > New project > Empty Project. Drag Source onto the canvas, then Load. Wire them. Pick the connection on each node and configure the action (table, columns, mode).
  4. Run and inspect
    Click Quick Debug Run (10 rows) on the canvas header. The right-rail Inspector shows per-node row counts and payload samples in real time.
  5. Schedule it
    Open Jobs > New Job. Pick the project + workflow + environment, set a cron expression, save. The Runtime Executions page shows live logs once the schedule fires.

What you'll see along the way​

  • Connection wizard has two pages. Page 1 picks the system + scope + name (with the per-system prefix). Page 2 renders the system-specific config + Test Connection.
  • Canvas has a left Project Explorer / Components / AI Builder, a centre graph, and a right Node Inspector.
  • Quick Debug Run is capped at 10 rows so you can iterate without pulling production volume.
  • Runtime Executions show status, duration, per-node row counts, logs, and a payload sample per node.

After the Quickstart​