Clavion is observability for batch and streaming pipelines. Catch silent failures, trace lineage across systems, and stop debugging by Slack message.
Most observability tools are designed for application engineers. Clavion is designed for the people who get paged when the nightly job fails at 3am.
Trace a column from the warehouse back through every transformation, queue, and source system. We parse SQL, Spark, dbt, and Airflow natively. No tagging required.
Static thresholds wake you up for nothing. Clavion learns the seasonality of your data and pages you only when something is genuinely off — not when Tuesday looks like Tuesday.
Run Clavion on your own infrastructure with a single Helm chart. Same product, your data never leaves your VPC. Cloud and self-hosted share the same upgrade path.
Freshness, completeness, accuracy — define what "good" means for each table, then watch your error budget burn down in real time. Same shape as the SLO dashboards your platform team already loves.
Snowflake, BigQuery, Databricks, Postgres, Kafka, Kinesis, dbt Cloud, Airflow, Dagster, Prefect. If it's in your stack, we read from it without an agent.
Every alert links to the exact run, the exact diff, the exact upstream change that caused it. No more "I think it's a Snowflake thing." Send the receipt to whoever broke it.
We replaced three internal tools and a Slack channel called #data-on-fire with Clavion. Onboarding was a Friday afternoon.
14-day trial, no credit card. Cloud or self-hosted, same product.
Start free trial