Dalanio connects to Snowflake, BigQuery, Redshift, and dbt, learns what normal looks like for every table, and pages your team the moment freshness, volume, or schema drifts. Not three days later, in a Slack thread started by your CEO.
Read-only warehouse connection. Metadata by default. Setup in under an hour.
analytics.orders_dailyraw.stripe.invoicesamount_due renamed to amount_remaining. 3 dbt models reference the old column.raw.events_webYou have 2,000 tables. Nobody is going to hand-write checks for all of them. Dalanio profiles your warehouse metadata and builds a baseline for each table automatically.
Freshness, row counts, and schema tracked per table, with seasonality built in. Monday spikes and month-end batch loads do not trigger alerts. A table that loads hourly going quiet for 11 hours does. Add custom SQL checks with dalanio.yml when you need exact assertions.
Every incident ships with its downstream impact: which dbt models are stale, which Looker and Tableau dashboards are now wrong, and who owns them. Column-level lineage parsed from query logs and dbt manifests, no manual tagging.
Incidents route to Slack channels or PagerDuty by table owner and severity, grouped by root cause. One broken source table means one alert, not 23 alerts for 23 downstream models. Acknowledge and resolve without leaving Slack.
Grant Dalanio a read-only role on Snowflake, BigQuery, or Redshift, and point it at your dbt project. We query metadata: information_schema, query history, table stats. Takes about 40 minutes, no agents to install.
Dalanio replays weeks of warehouse history to learn each table's load cadence, volume patterns, and schema. Most teams have working baselines on every table within 3 to 5 days, with zero rules written.
Anomalies open incidents with severity, root-cause grouping, and downstream impact, then land in Slack or PagerDuty. Your team fixes the break while the dashboards still show yesterday's good data.
Early access pricing is locked for 12 months for teams that onboard before general availability.
For trying Dalanio on your most important pipeline.
For data teams who are done finding out from stakeholders.
For platform teams with compliance requirements.
All plans include Snowflake, BigQuery, Redshift, and dbt integrations. No usage-based surprises.
Metadata by default. Standard monitors run entirely on information_schema, query logs, and table statistics: row counts, load times, column types. Dalanio never copies row-level data out of your warehouse. If you enable custom SQL checks, those queries execute inside your warehouse and only the pass/fail result and aggregate numbers leave it.
The connection uses a read-only role you create and can revoke at any time, scoped to the schemas you choose. Credentials are encrypted at rest with per-tenant keys, and all traffic is TLS 1.2 or higher. We support key-pair auth for Snowflake and workload identity for BigQuery, so no long-lived passwords. A SOC 2 Type II audit is underway, and we will share the report and our security whitepaper under NDA with early access customers.
Dalanio bootstraps baselines by replaying your warehouse's existing history, so it does not start from zero. Most teams see accurate freshness and volume baselines within 3 to 5 days, and weekly seasonality settles in after two to three weeks. Schema change detection works from day one, since it needs no baseline.
Yes, both dbt Cloud and dbt Core. Dalanio ingests your manifest.json and run artifacts to map model-level lineage, surface failed and skipped runs alongside anomalies, and tie an incident on a source table to the exact models and exposures it feeds.
Metadata queries are small and cheap, and Dalanio schedules them against your existing warehouse activity rather than spinning up constant polling. Typical overhead is well under 1% of warehouse compute. On Snowflake you can pin Dalanio to an XS warehouse and cap it with a resource monitor.
We are onboarding a small number of data teams on Snowflake, BigQuery, and Redshift ahead of launch. Tell us about your stack and we will get you monitoring within a week.
Request early access