Quickstart
This page takes you from a new account to a running data pipeline in about ten minutes: create an account, register a connection, build a two-node flow, run it, and schedule it.
What you build
- Create your workspaceSign up at platform.datalug.io and confirm your email. A Free account is a 30-day trial.
- Register a connectionConnections > + New Connection. Pick PostgreSQL, or any system you have credentials for, fill in the fields, and select Test Connection before you save.
- Build a two-node flowProjects > New Project > Empty. On the canvas, add a Source and a Load, then wire them. Pick the connection on each node and configure the action (table, columns, mode).
- Run and inspectSelect Quick Debug Run (10 rows) on the canvas. The Runs tab in the right panel shows per-node row counts and payload samples.
- Schedule itOpen Jobs and select Add Job. Pick the project, the data pipeline and the environment, choose a schedule mode (Daily, Hourly window, Weekly, Run once or Custom cron), and save. Runtime Executions shows each run once the schedule fires.
What you see along the way
- Connection wizard has two pages. Page 1 picks the system and the connection name. Page 2 shows the system-specific settings and Test Connection.
- Canvas has a left sidebar with Components and Explorer tabs, the graph in the centre, and a right panel with Node Config, Runs and Properties tabs.
- Quick Debug Run is capped at 10 rows, so you can iterate without pulling production volume.
- Runtime Executions shows status, duration, per-node row counts, logs and a payload sample per node.
After the Quickstart
- Learn the Core concepts: account, project, data pipeline, connection, environment.
- Walk through Your first data pipeline for a PostgreSQL to Snowflake build.
- Browse Connectors for the systems DataLug connects to.
- Browse Nodes for what each node does.