Know when your data pipeline breaks before your stakeholders do.
Data teams using dbt often discover stale data only when stakeholders complain. By then, dashboards have been showing outdated numbers for hours or days. Existing monitoring tools are expensive, complex to set up, or require significant infrastructure.
Data engineers and analytics engineers running dbt in production who need reliable alerting without the overhead of a full observability platform.
A lightweight freshness monitoring service that connects directly to your dbt Cloud or Core project. Get Slack/email alerts when source freshness tests fail or when models haven't run on schedule. No infrastructure to manage.
You get a Slack message within 5 minutes of any freshness issue. Your team fixes problems before anyone notices. No more "why is this dashboard showing yesterday's data?" messages.
$29/mo
$99/mo
Be first to know when we launch
Here's what people typically use today:
Enterprise data observability platform. Powerful but expensive and complex to set up.
Open source dbt-native monitoring. Requires self-hosting and maintenance.
DIY Slack webhooks and cron jobs. Works but fragile and time-consuming to maintain.
Can't wait for the product? We can build a custom solution for your specific needs.
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