Design data transformation pipelines in your browser. Run them on demand or on a schedule. Auto-scales from a few rows to multi-gigabyte datasets — no infrastructure to manage.
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Build, schedule, and monitor pipelines without writing infrastructure code.
Compose pipelines from ready-made steps: load, join, filter, select columns, split, conditional branches, and export. No code required.
Three execution tiers route automatically based on dataset size — sync for small jobs, async workers for medium loads, streaming for multi-gigabyte runs.
Trigger runs on a cron schedule or when new data arrives. Every execution is logged with step-by-step output you can replay later.
From raw files to a working pipeline in three steps.
Bring in your data from files or live database connections.
Drag steps onto the canvas to join, filter, transform, and route your data.
Run on demand or on a schedule. Every step is captured in execution history and dashboards.
Start free. Upgrade when your workflows do.