Metaplane
Claim this toolEnd-to-end data observability platform that catches silent data quality issues before they impact your business.
Free plan available, paid tiers aboveVisit WebsiteReviews on G2 Capterra
139 reviews trackedThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Monitors data quality end-to-end using machine learning to detect issues.
- Provides column-level lineage and Data CI/CD to prevent data quality problems.
- Offers quick setup, targeted alerts, and integrations across the data stack.
Pros
- Quick setup (15 minutes) and fast alert generation (within 3 days).
- Machine learning accounts for seasonality and trends, reducing false positives.
- Pay-for-what-you-use pricing model, allowing monitoring of only necessary tables.
- Comprehensive end-to-end visibility across the entire data stack.
- Strong security and privacy standards with read-only metadata access.
Cons
- Specific limitations on monitored tables and custom SQL monitors in lower tiers.
- Advanced features like custom integrations and SSO are only available in the Enterprise plan.
- Some CI/CD and cost monitoring features are add-ons for the Pro plan.
What is Metaplane?
Metaplane is an end-to-end data observability platform designed to help modern data teams proactively identify and resolve data quality issues across their entire data stack. It leverages machine learning to monitor data quality from source to business intelligence tools, accounting for seasonality and trends to provide accurate and relevant alerts. The platform offers comprehensive features like automated monitoring, column-level lineage, data insights, and Data CI/CD to ensure data reliability and prevent issues from reaching production.
Metaplane is built for data teams looking to reduce data debt, optimize data usage, and build trust in their data. It integrates with various data warehouses, transformation tools like dbt, and BI tools, providing a holistic view of the data pipeline. With its quick setup, automated anomaly detection, and targeted notifications, Metaplane aims to minimize the time spent triaging data incidents, allowing data professionals to focus more on building and innovation. It also emphasizes enterprise-grade security and compliance, offering read-only access to metadata and adhering to high privacy standards.
The platform also offers free data engineering tools like dbt Alerting, dbt Inspector, and Schema change tracker, and a Snowflake native app for in-warehouse observability. This allows users to monitor data quality directly within their Snowflake environment, ensuring data never leaves their warehouse.
Available on: Web
Louis Corneloup Source metaplane.dev ↗
Ratings Across the Web
4.9 (139 reviews)
Metaplane holds an aggregate rating of 4.9 out of 5 from 139 reviews across G2 and Capterra, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- Automated ML-powered monitoring for data quality
- End-to-end column-level lineage from sources to BI tools
- Data CI/CD with automated regression and impact tests for pull requests
- Targeted and contextual automated alerts
- Data insights for optimizing data usage and reducing data debt
- Suggested monitors for important tables
- Schema change tracking and alerts
- Integrations with data warehouses (Snowflake, BigQuery, Redshift, etc.), dbt, and BI tools (Looker, Tableau, etc.)
Pricing Plans
Free TrialPricing checked Oct 5, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 |
+9 more Show less
|
| Pro | Usage-based |
+12 more Show less
|
| Enterprise | Contact sales |
+8 more Show less
|
Is Metaplane worth the price?
Good value
Metaplane's Free tier is generous, offering substantial monitoring capabilities for up to 10 tables, making it excellent for small teams or initial evaluations.
Enterprise is for larger organizations needing custom integrations and premium support.
Hidden Costs & Gotchas
Add-on features like Data Impact Previews cost extra
Reviews
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4.9/5
Across 139 verified user reviews on G2, Capterra
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Metaplane FAQ
How does Metaplane help data teams ensure data reliability?
Metaplane is an end-to-end data observability platform that proactively identifies and resolves data quality issues across the entire data stack. It uses machine learning to monitor data quality from source to business intelligence tools, accounting for seasonality and trends to provide accurate alerts. This helps prevent data quality issues from impacting business operations.
Which teams benefit most from using Metaplane?
Metaplane is built for data teams looking to reduce data debt, optimize data usage, and build trust in their data. It helps data professionals minimize time spent triaging data incidents, allowing them to focus more on building and innovation. This makes it particularly useful for teams involved in data quality, monitoring, analytics, and DevOps.
How does Metaplane compare to Monte Carlo for data observability?
Metaplane offers a pay-for-what-you-use pricing model, allowing users to monitor only necessary tables, and provides quick setup within 15 minutes with fast alert generation. It also offers free data engineering tools like dbt Alerting and a Snowflake native app for in-warehouse observability. Both platforms aim to provide end-to-end data observability.
What kind of limitations should users be aware of with Metaplane?
Lower tiers of Metaplane have specific limitations on the number of monitored tables and custom SQL monitors. Additionally, advanced features such as custom integrations and SSO are exclusively available in the Enterprise plan. Some CI/CD and cost monitoring features are also offered as add-ons for the Pro plan.
Does Metaplane include a free tier?
Yes, Metaplane is available on a free tier, with paid plans offered for users requiring more usage and advanced features. The pricing model is pay-for-what-you-use, allowing monitoring of only necessary tables.
How does Metaplane integrate with existing data infrastructure?
Metaplane integrates with various data warehouses, transformation tools like dbt, and business intelligence tools to provide a holistic view of the data pipeline. It also offers a Snowflake native app for in-warehouse observability, ensuring data never leaves the user's warehouse. This allows for comprehensive end-to-end visibility across the entire data stack.
Can Metaplane detect data quality issues specific to seasonal data?
Yes, Metaplane leverages machine learning to monitor data quality and specifically accounts for seasonality and trends. This capability helps in reducing false positives by understanding the natural fluctuations in data, providing more accurate and relevant alerts for data quality issues.
Source: metaplane.dev