Workflows That Think & Save You 75% on Cloud Bill

Your data pipeline makes decisions based on real-time conditions—e.g., 'If a file is missing, skip the step' or 'If a data quality check fails, send a notification and stop.' No more static pipelines; you now have logic-driven, adaptable workflows.

Real-world data is messy and unpredictable. APIs fail. Data arrives late. Tasks run long. With Conditional Flows, your pipeline adapts instead of breaking. You can auto-retry, reroute, skip steps, or stop jobs to avoid costly failures and delays.

Yes. You can avoid running unnecessary tasks (e.g. 'skip if no new data') or kill long-running jobs before they rack up charges. Customers have reported up to 75% reduction in wasteful executions using this feature.

No coding required. The Keboola UI lets you build logic visually or configure it via JSON if you prefer code. You define conditions, and then actions (retry, skip, notify, kill, etc.) tied to those conditions. It's easy to test and adjust as you go.

Base conditions on task results (success, failure, error), data checks (row count, null values, test results), external triggers (webhooks, variable states), and runtime behavior (duration, system variables like day of week). Conditions support AND, OR, NOT for complex scenarios.

Yes—this is one of its core benefits. You can define fallback actions: retry the task up to X times, reroute to a backup extractor, notify a Slack channel and continue, or stop the pipeline to prevent bad data. This self-healing behavior dramatically reduces manual oversight.

Yes. Conditional Flows can use system variables like dates, runtime conditions, or webhook signals. For example: 'If today is Saturday, skip campaign updates' or 'If triggered by alert webhook, run additional validation step.'

Fewer failures mean higher reliability. Automated error handling reduces downtime. Smart branching lowers cloud spend. Smarter workflows scale data ops. Your team saves time, money, and builds resilience into the pipeline.

Absolutely. Conditional Flows offer robust task orchestration natively in Keboola, eliminating the need for external tools like Airflow, Dagster, etc.

Not at all. Whether you're a solo analyst or a large data team, Conditional Flows simplify everyday problems—like retrying failed tasks, skipping empty loads, or sending alerts when something breaks.