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Pipeline Designer
Data-focused ETL designer — ingest from JSON, CSV or SQL, apply transforms, and push to any destination.
Overview
Pipeline Designer is a specialised ETL (Extract, Transform, Load) tool within the Automation suite. While the Workflow Editor is optimised for AI and event-driven logic, the Pipeline Designer focuses on structured data movement — pulling records from sources, cleaning and reshaping them, and pushing the results to destinations.
Coming Soon
Pipeline Designer is currently in development. The UI is visible in the Automation mode sidebar but pipeline authoring and execution are not yet active.
Planned Features
- Source connectors — JSON files, CSV files, REST APIs, SQL databases (PostgreSQL, MySQL, SQLite), and inline data entry.
- Transform steps — filter rows by condition, rename columns, parse dates, compute derived columns, join two sources, group and aggregate.
- Destination connectors — write to JSON file, CSV file, SQL table (insert or upsert), send as an email attachment, or post to a webhook.
- Schema preview — see the column names, types, and a sample of values at each step before running the full pipeline.
- Row-count assertions — define minimum and maximum expected row counts; the pipeline fails cleanly if a source returns an unexpected amount of data.
- Scheduled runs — integrate with Task Scheduler to run an ETL pipeline on a cron schedule.
When to Use Pipeline Designer vs. Workflow Editor
Use Pipeline Designer when your goal is moving rows of structured data from A to B. Use the Workflow Editor when you need AI generation, multi-step AI chains, or event-driven logic. The two tools are complementary — a Workflow Editor pipeline can call a Pipeline Designer pipeline as a step.