Product · Schedule

Set a schedule. That is production.

A dataflow goes live the moment you give it a schedule – no server to license, no orchestrator to host, no deploy. Refyner runs it on your Snowflake, records every run, and tells you when one fails.

What you get

Scheduling, monitoring and history.

Any cadenceHourly, daily, weekly or a cron expression
No refresh capsFrequency is not tiered by plan
Run historyEvery execution, duration and outcome
Failure alertsEmail to the people you nominate
Chained dataflowsOne reads another's output table
Manual runsTrigger a run on demand alongside the schedule
What you do not need

Nothing to host, licence or maintain.

01

No server product

Alteryx Designer needs Alteryx Server to schedule a workflow; Tableau Prep relies on Tableau Server or Cloud. Refyner includes scheduling.

02

No orchestrator

No Airflow instance to run, no DAGs to write, no repo or CI to keep alive – the pieces that normally need an engineer are not part of the setup.

03

Supported, not self-managed

Standard support on every paid plan, with a 99.5% monthly uptime target on Refyner Cloud measured excluding scheduled maintenance and Snowflake availability.

What it costs

Building is free; running is metered

Building and previewing dataflows costs nothing beyond your subscription. Runs are charged at $3 per compute hour – source ingestion, dataflow runs and scheduled runs – metered per run and rounded up to the nearest minute, on top of Refyner Cloud at $99/month for five users. Compute runs in your own Snowflake, so you keep whatever warehouse sizing and auto-suspend settings you already use. Full detail on pricing.

FAQ

Frequently asked questions

How often can a dataflow run?

As often as the work requires – there is no refresh cap by plan tier, unlike the eight-a-day and 48-a-day limits on Power BI licences.

What happens when a run fails?

It is recorded with the error and email alerts go to the people you nominate, so a broken job does not become a wrong number on a dashboard.

Can dataflows depend on each other?

Yes. Output is an ordinary Snowflake table, so one dataflow reads another's result. Order them by schedule, or chain them in a single flow.

Is there an uptime guarantee?

Paid plans carry a 99.5% monthly uptime target. A contractual commitment with service credits is available as a Support SLA add-on – see the Terms.

Your first scheduled dataflow, live today.

Build it, set a schedule, and it runs on your own Snowflake – nothing else to install.