Introduction
Metaplane is a comprehensive data observability platform designed to help data teams across various industries ensure the reliability and accuracy of their data. By leveraging advanced machine learning algorithms, Metaplane provides real-time monitoring, anomaly detection, and detailed lineage tracing for data across the entire data stack. The platform is user-friendly, allowing users to integrate their data stack and set up monitors within minutes. Metaplane's innovative approach to data observability not only helps in identifying and resolving data issues but also in preventing them from occurring in the first place.
background
Metaplane, developed by Metaplane, Inc., is a cutting-edge solution in the field of data management. The company focuses on providing tools that enhance data reliability and observability, ensuring that businesses can trust the data driving their decisions. With a dedicated team of experts and a commitment to innovation, Metaplane continues to evolve, offering new features and improvements to meet the ever-changing needs of data teams.
Features of Metaplane
Data Observability v2
Automatically track warehouse table volume and freshness, get suggestions for deeper monitoring on your most used data, and understand warehouse spend.
Data CI/CD
Runs checks in GitHub whenever you make data model changes to ensure data hasn't changed in ways you don't expect, and let you know what the impact on downstream BI dashboards may be.
Machine Learning Monitoring
Machine learning-based monitoring for all of your data quality metrics, providing model feedback and customizable monitors with SQL.
Column Level Lineage
Generates column-level lineage from your metadata, integrating with all your tools to identify and trace data issues.
Preventive Incident Management
Forecasts downstream changes from model updates, alerts for schema changes, and identifies critical tables through dependency and usage indicators.
Data Quality Management
Customizes alerts, organizes monitors and incidents into dashboards, and manages user access with roles and permissions.
How to use Metaplane?
To get started with Metaplane, users can integrate their data stack and set up monitors within 15 minutes. The platform's machine learning algorithms will then train and alert users to issues within 3 days. Users can also customize their monitoring preferences and access detailed lineage tracing to understand data flows and dependencies.
FAQ about Metaplane
- How can I integrate Metaplane with my existing data stack?
- Metaplane can be integrated with your data stack in just a few minutes. Follow the platform's step-by-step guide to connect your data sources and set up monitors.
- What types of data quality metrics does Metaplane monitor?
- Metaplane monitors a wide range of data quality metrics, including data freshness, accuracy, completeness, and consistency, using machine learning algorithms.
- How does Metaplane help in preventing data issues?
- Metaplane uses predictive analytics to forecast potential data issues before they occur. It also provides alerts for schema changes and identifies critical tables based on dependency and usage.
- Can I customize the alerts and notifications in Metaplane?
- Yes, Metaplane allows users to customize alerts, choose the channels for notifications, and group monitors and incidents into custom dashboards.
- Is Metaplane compliant with data protection regulations?
- Metaplane is compliant with major data protection regulations such as SOC 2 Type 2, GDPR, CCPA, and HIPAA, ensuring secure and compliant data handling.
Usage Scenarios of Metaplane
Business Intelligence
Metaplane is ideal for businesses looking to enhance their data-driven decision-making by ensuring the reliability of their BI dashboards.
Data Engineering
Data engineers can use Metaplane to monitor and maintain the quality of their data pipelines, preventing issues before they affect downstream processes.
Healthcare Data Management
Healthcare organizations can leverage Metaplane to ensure the accuracy and timeliness of patient data, improving patient care and regulatory compliance.
Financial Data Analysis
Financial institutions can use Metaplane to monitor data quality in their risk management and fraud detection systems, ensuring accurate and timely insights.
User Feedback
I love the team and product.
Automatically track warehouse table volume and freshness, get suggestions for deeper monitoring on your most used data, and understand warehouse spend.
Runs checks in GitHub whenever you make data model changes to ensure data hasn't changed in ways you don't expect, and let you know what the impact on downstream BI dashboards may be.
Metaplane has everything I need in one place. It gives me full visibility into the quality and performance of my data.
The important thing is that when things break, I know immediately—and I can usually fix them before any of my stakeholders find out.
others
Metaplane is a data observability platform that helps data teams know when things break, what went wrong, and how to fix it. It is a powerful tool that integrates seamlessly with existing data stacks, providing real-time insights and alerts to maintain data quality and integrity.
Useful Links
Below are the product-related links of Metaplane, I hope they are helpful to you.