Data observability · Metaplane

Metaplane

Lightweight data observability tool with a genuine free tier and per-table usage pricing, including Snowflake credit billing.

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Metaplane monitors warehouse tables for freshness, volume, schema drift and distribution anomalies, aiming for a setup that takes minutes rather than weeks. It supports custom SQL-based monitors, column-level lineage, and "data CI/CD" checks that run against pull requests before changes reach production, plus cost monitoring for warehouse spend. Alerts route to Slack, Microsoft Teams or email, and a free plan covering ten monitored tables lets small teams try the product without a sales conversation. Paid usage scales per monitored table, and Metaplane offers the option to pay using existing Snowflake credits rather than a separate invoice. It is delivered as cloud SaaS and is typically chosen by small-to-mid-size data teams that want fast time-to-value and transparent, usage-based pricing over an enterprise sales cycle.

At a glance

Vendor Metaplane
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Small-to-mid data teams wanting quick setup and transparent per-table pricing.

Pricing

Free plan covers 10 monitored tables; Pro is usage-based per monitored table; Enterprise is custom.

Plan Price Notes
Free $0 10 monitored tables, 4 users, basic alerting to Slack/Email/MS Teams
Pro Usage-based, pay per monitored table up to 100 monitored tables, 12 users, unlimited viewers, column-level lineage, data CI/CD, cost monitoring; can pay with Snowflake credits
Enterprise Custom unlimited monitored tables and users, SSO/Okta/AD/SAML, PrivateLink, premium support

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Automated table and column monitoring
  • Custom SQL monitors
  • Column-level lineage
  • Data CI/CD checks on pull requests
  • Warehouse cost monitoring
  • Slack/Teams/email alerting
  • Anomaly detection
  • Snowflake credit billing option

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Monte Carlo Data observability platform using ML-based anomaly detection to catch broken pipelines before they reach dashboards. Bigeye Data observability platform that auto-generates quality metrics and anomaly alerts across warehouses and lakes. Elementary dbt-native, open-source-core data observability tool that turns dbt test results and metadata into monitoring and alerts.

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Terms to know

Data observability Continuous automated monitoring of pipelines and datasets to catch freshness, volume and quality problems early. Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior.

Related guides

How to choose a data observability tool Pick a data observability tool by how it generates coverage, where it needs to run relative to your data, and whether you're already living inside dbt.