Description
Metaplane by Datadog is an end-to-end data observability platform built to empower modern data teams. It focuses on catching silent data quality issues before they negatively impact business operations. By integrating software and data observability, Metaplane provides a unified view of data health.
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The platform offers comprehensive monitoring capabilities, allowing users to quickly configure monitors without coding. It supports monitoring by various dimensions within tables and utilizes accurate modeling. A key feature is its end-to-end column-level lineage, which maps data flow from sources to BI tools without manual setup, providing a complete picture of the data stack.
Metaplane also delivers valuable data insights by identifying how, by whom, where, and how frequently data is being used. This helps in reducing data debt and prioritizing essential queries. The Data CI/CD feature prevents data quality issues in pull requests by running automated regression and impact tests, ensuring data integrity during code merges. Automated alerts are designed to be targeted, providing the necessary context for efficient issue resolution.
Distinguishing itself from other tools, Metaplane leverages machine learning to account for seasonality and trends in data, offering more robust monitoring than rigid custom tests. Setup is rapid, with alerts appearing in as little as three days, compared to weeks for some competitors. The platform supports merging confidently with Data CI/CD, forecasting downstream impacts of code changes and comparing data between production and PR branches.
Metaplane works seamlessly with dbt Core and Cloud, and supports CI/CD with GitHub and GitLab. Pricing is designed to scale with usage, allowing users to pay only for what they need, unlike tools that require monitoring every table. The platform is enterprise-ready, offering SOC 2 Type II compliance and adhering to privacy standards like GDPR, CCPA, and HIPAA. It accesses only metadata, ensuring data privacy and security. Metaplane also offers free data engineering tools like dbt Alerting and dbt Inspector, and a Snowflake native app for end-to-end observability within the warehouse.
- CategoryBusiness Intelligence
- Pricing ModelUsage-based
- DeploymentCloud
- PlatformsSnowflake
Metaplane by Datadog's Core Features
End-to-end data observability
Proactive data quality issue detection
Automated alerts with context
Column-level data lineage
Data usage insights and optimization
Data CI/CD for pull requests
Machine learning for seasonality and trends
Fast setup and training
Suggested monitors for important tables
Downstream impact forecasting
dbt Core and Cloud integration
SOC 2 Type II compliant
Read-only metadata access
Snowflake native app
How to use Metaplane by Datadog?
Connect your data sources
Configure monitors for data quality
Utilize lineage to understand data flow
Leverage insights to optimize data usage
Implement Data CI/CD for code changes
Respond to automated alerts for issues
Metaplane by Datadog's Use Cases
- Data Quality Monitoring
- Data Lineage Tracking
- Data Usage Optimization
- CI/CD for Data
- Incident Resolution
- Data Governance
- Snowflake Observability
