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End-to-end data observability platform that catches silent data quality issues before they impact your business.

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Reviews onG2Capterra
139 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Quick setup (15 minutes) and fast alert generation (within 3 days).

Biggest con

Specific limitations on monitored tables and custom SQL monitors in lower tiers.

TL;DR - Metaplane

  • 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.
Pricing: Free plan available
Best for: Growing teams
4.9/5 across review platforms

What is Metaplane?

Editorial review
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

Pros & Cons

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.

Ratings Across the Web

4.9(139 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Automated ML-powered monitoring for data qualityEnd-to-end column-level lineage from sources to BI toolsData CI/CD with automated regression and impact tests for pull requestsTargeted and contextual automated alertsData insights for optimizing data usage and reducing data debtSuggested monitors for important tablesSchema change tracking and alertsIntegrations with data warehouses (Snowflake, BigQuery, Redshift, etc.), dbt, and BI tools (Looker, Tableau, etc.)

Pricing Plans

Free Trial

Pricing checked Jul 6, 2026

Free

Free

  • 10 monitored tables
  • 4 users
  • Monitoring
  • Volume, schema, freshness, uniqueness, nullness, statistical distribution, custom SQL monitors
  • 3 custom SQL monitors
  • dbt job monitoring
  • Query monitoring
  • Automated anomaly detection

Pro

Usage-based

  • Pay per monitored table
  • 12 users, unlimited viewers
  • Everything in Free
  • Column-level Lineage
  • Data CI/CD
  • Cost & Performance Monitoring
  • Data insights
  • 100 monitored tables

Enterprise

Contact sales

  • Pay per monitored table
  • 12+ users, unlimited viewers
  • Everything in Pro
  • Custom integrations
  • SSO Okta, AD, SAML
  • AWS or Azure PrivateLink support
  • Unlimited monitored tables
  • 10 custom SQL monitors

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.

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