Metaplane
AI data observability and lineage platform
Metaplane is a data observability platform — now part of Datadog — that uses machine learning to automatically detect data quality anomalies, track data lineage, and monitor pipeline health. It helps data teams catch and resolve data issues before they impact downstream analytics, reports, and AI applications.
Key Capabilities
Metaplane automatically baselines table- and column-level behavior (volume, schema, freshness, null rates, and statistical distributions) and uses ML-based anomaly detection to surface incidents with minimal manual rule-writing. The platform provides end-to-end column-level lineage from sources through the warehouse into BI and reverse ETL tools, schema change alerts, data CI/CD with impact and test previews in GitHub/GitLab, job monitoring for dbt and Airflow, query and warehouse spend monitoring, and granular alert routing to Slack, Microsoft Teams, email, PagerDuty, and webhooks. It can be deployed as SaaS or as a Snowflake Native App.
Who Should Use Metaplane
Metaplane is ideal for data engineering teams, analytics engineers, and data platform teams who need proactive data quality monitoring. It suits organizations using modern data stacks with dbt, Airflow, and cloud warehouses, particularly teams that want to reduce time spent investigating data incidents and want ML-powered monitoring rather than manual rule maintenance.
Getting Started
Sign up at metaplane.dev for a free trial — no credit card required, with setup in under 15 minutes. Connect your data warehouse and BI tools, and Metaplane automatically begins baselining your data and detecting anomalies. Configure alert routing to your preferred channels and start monitoring your data estate.
Pricing & Accessibility: Metaplane offers a free tier for getting started, with pricing that scales based on the number of tables with active monitors. Add-on features are available à la carte. The platform is also available as a Snowflake Native App payable with Snowflake credits. Now part of Datadog's observability platform.
Why Consider Metaplane: Metaplane combines ML-powered anomaly detection with comprehensive lineage tracking and a quick setup that gets you monitoring in minutes, not weeks. Its acquisition by Datadog positions it uniquely at the intersection of data observability and infrastructure observability, providing unified visibility across your entire stack.
Pros
- ML-based anomaly detection minimizes manual rule configuration
- Quick setup in under 15 minutes with automatic data baselining
- End-to-end column-level lineage across warehouses and BI tools
- Available as Snowflake Native App for in-warehouse deployment
- Now backed by Datadog's observability infrastructure
Cons
- Datadog acquisition may change pricing and product direction
- Usage-based pricing can be unpredictable for large data estates
- Primarily focused on warehouse and BI — less coverage for streaming data
Who is this for?
Data pipeline monitoring, data quality anomaly detection, schema change tracking, dbt and Airflow job monitoring, data lineage mapping, warehouse spend optimization
Frequently Asked Questions about Metaplane
How quickly can I set up Metaplane?
Metaplane can be set up in under 15 minutes. Connect your data warehouse, and the platform automatically begins baselining your data behavior and detecting anomalies — no manual configuration required.
Is Metaplane still independent after the Datadog acquisition?
Metaplane has been acquired by Datadog and is now part of the Datadog observability platform. The data observability features are being integrated into Datadog's broader monitoring suite.
How does Metaplane's pricing work?
Pricing scales based on the number of tables with active monitors running for more than 30 days. You can pick and choose add-on features à la carte. A free tier is available to get started.
Pricing
paid
Free tier available; paid plans scale with usage
Free tier: Limited tables and monitors for small teams
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesEnglish
Learning CurveLow
Integrations
SnowflakeBigQueryRedshiftdbtAirflow+5 more
