Scheduling is where a working pipeline becomes an operating system. The safest rollout pattern is simple: manual first, automation second.Documentation Index
Fetch the complete documentation index at: https://docs.mantrixflow.com/llms.txt
Use this file to discover all available pages before exploring further.
Sync mode requirement
Scheduling is only available when the destination sync mode is set to Incremental. When a destination is configured as Full Table, the Scheduling tab is disabled. Full Table sync re-loads the entire dataset on every run, so it is designed to be triggered manually or via the API rather than run on a continuous schedule. Switch the sync mode to Incremental in the destination Config tab to unlock scheduling.Where scheduling lives
Scheduling is in the Destination node → Scheduling tab inside the canvas builder. Open the Destination panel (⚙️ on the Destination node), click the Config tab and set the sync mode to Incremental, then switch to the Scheduling tab. Options available:- manual only (default)
- every X minutes
- every X hours
- daily at a fixed time
- weekly on a chosen day and time
- monthly on a chosen day and time
- custom cron expression
Recommended rollout sequence
- Save the pipeline.
- Run it manually.
- Validate the destination output.
- Check run history for clean completion.
- Add the schedule that matches the business need.
Real schedule examples
- Every 15 minutes for Shopify
ordersthat feed support dashboards. - Hourly for PostgreSQL
ordersandcustomersinto an analytics database. - Daily at 02:00 for Stripe payouts and invoice reporting.
- Weekly for a Notion workspace snapshot that powers team planning reports.
Timezone matters
Always set the schedule timezone intentionally. This matters for finance closes, sales reporting windows, and business-hour sync expectations.When to stay manual
Keep a pipeline manual when:- you are still validating a new connector
- the source schema is unstable
- the destination table is used for a one-time migration
- the pipeline depends on a process that is not yet reliable enough to automate