Data Observability v2 by Metaplane
Data observability platform for monitoring data quality and pipeline health.
Verdict
A quick read before you dig into the full page.
- Best if
- You are data engineers and need: Monitor data quality from source to BI
- Skip if
- You need enterprise SLAs or a fully managed team plan right away
- Pick this when
- Freemium · Free
Overview
Metaplane is a data observability platform that helps data teams know when things break, what went wrong, and how to fix it. It automatically tracks warehouse table volume and freshness, suggests deeper monitoring on most used data, and helps understand warehouse spend. Metaplane ensures trust in critical data within 15 minutes. It offers features like Data CI/CD, monitoring and anomaly detection, schema change alerts, lineage and impact analysis, job monitoring, and data insights. Metaplane integrates with various data warehouses, ingestion tools, transformation tools, transactional databases, reverse ETL tools, notification systems, orchestration tools, and business intelligence platforms.
Best for
Short scenarios where Data Observability v2 by Metaplane tends to shine.
-
Monitor data quality from source to BI
Best for Data engineers
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Prevent data quality issues in pull requests
Best for Data analysts
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Optimize data usage and reduce data debt
Best for Data scientists
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Get notified about schema changes
Best for Analytics engineers
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Eliminate pipeline latency issues
Best for Data engineers
Example outputs 1
Sample generations and before/after results for Data Observability v2 by Metaplane.
Access & connections
Where you can use Data Observability v2 by Metaplane.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- Data monitoring and anomaly detection
- End-to-end column-level lineage
- Data insights and usage analytics
- Data CI/CD for preventing data quality issues in PRs
- Automated alerts with context for quick resolution
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In the news
Launch coverage and community mentions for Data Observability v2 by Metaplane.