Be the first to know about
about
Monitor your entire warehouse in 30 minutes.
Identify downstream impact with automated warehouse-to-BI lineage.
We expose a lot of data and dashboards to our executive team. It really erodes trust when an exec catches a data quality issue—one that we may not have even known existed—and has to call me out on it. Since we installed Metaplane, the number of callouts over bad data has dropped to near zero.
Andy Mackenzie
Data Lead, Appcues
Metaplane alerts us to problems that would otherwise have gone undiscovered until much later. Before now, we've never had a practical way to monitor the hundreds of tables in our warehouse, and we'd learn something was wrong when a business user informed us. Metaplane is exactly the monitoring tool that was missing from our toolbox.
Peter Jaffe
Head of Data, Teachable
With Metaplane, we have visibility into the health of our data across our infrastructure, from data ingestion and transformation in Snowflake to job run times with dbt to where this data is then referenced in Mode reports. After setting up the platform in only half an hour, we get actionable alerts when things go wrong, with the context needed to debug.
Jaime Deveney
VP Data, Imperfect Foods
With Metaplane, we have visibility into the health of our data across our infrastructure, from data ingestion and transformation in Snowflake to job run times with dbt to where this data is then referenced in Mode reports. After setting up the platform in only half an hour, we get actionable alerts when things go wrong, with the context needed to debug.
Andy Mackenzie
Data Lead, Appcues
Add tests without writing code
Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need.

In Metaplane, you can add hundreds of tests within minutes.

We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between.
Anomaly detection using historical metadata
Manual thresholds take a long time to set and quickly go stale as your data changes.

Our anomaly detection models learn from historical metadata to automatically detect outliers.

Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.
Data tool ecosystem visualization
Automated warehouse-to-BI lineage
Knowing about an issue is only half of the battle. Do executives use this data every day, or has it not been accessed in the past quarter?

Metaplane automatically establishes lineage from data in your warehouse to the dashboards used by your stakeholders.

Understand downstream impact, prioritize work, and get in touch with the right people. If you use dbt, we'll pull in that metadata too.
Get alerted in the places your team already lives
You don't know when silent data bugs occur.

Metaplane notifies you of issues immediately in Slack/PagerDuty/e-mail.

Mark any alert as an expected change and Metaplane will learn over time. Watch conversations develop as your team's awareness of data issues increases.

From the blog

Start monitoring your data in minutes.

Connect your warehouse and start generating a baseline in less than 10 minutes. 30-day trial, risk-free.