About Metaplane
Metaplane is a data observability platform from Datadog that helps organizations monitor their data pipelines. It provides features such as automated data quality checks, observability dashboards, and alerting systems so users can quickly identify and resolve data issues. Metaplane supports a variety of data sources and integrates with existing data tools, making it suitable for diverse tech ecosystems. Users can gain insights into data flow and lineage, ensuring they maintain high standards of data reliability. Key capabilities: data quality monitoring observability dashboards custom alerting integration with data tools data lineage tracking Best for: data engineers and analysts that need to ensure data integrity and monitor data workflows effectively.
Metaplane by Metaplane, Inc. is a highly capable data observability platform engineered to help modern data teams proactively identify, diagnose, and prevent data quality issues across their stack. Purpose-built to foster trust in data, the platform delivers real-time monitoring, intelligent anomaly detection, and detailed lineage tracking, all while maintaining scalability and ease of use. It integrates effortlessly with a wide array of widely adopted tools such as Snowflake, BigQuery, Redshift, dbt, Looker, Tableau, and more. With its focus on data reliability, Metaplane equips data teams with the tools they need to catch issues before they affect business decisions, supporting a more resilient and data-driven organization. A major highlight of Metaplane is its user interface. The platform features a clean, single-pane dashboard that provides a panoramic view of an organization’s data ecosystem. This intuitive design appeals to both technical and non-technical users, enabling seamless monitoring of key metrics like data freshness, volume fluctuations, and anomalies. One standout component is its visual data lineage mapping, which allows users to trace the flow of data across sources and BI tools with impressive clarity.
Pros & Cons
- +1. Metaplane is praised for its ease of setup and immediate delivery of valuable data warehouse insights.
- +2. The software enhances operational observability specifically for data loading processes.
- +3. It has successfully helped build trust with end users by proactively identifying and resolving data issues before they are noticed.
- +4. The lineage functionality of Metaplane is highly beneficial for understanding data dependencies and planning data modeling efforts.
- −1. As a new and evolving product, Metaplane currently has some limitations in its features.
- −2. Users have noted that improvements in role-based access control (RBAC) would be beneficial.
- −3. The current permission structure does not allow for wider access by business users for data quality testing.
- −4. The software currently lacks reporting capabilities for query performance.
Features
Key features
- 1. End-to-end Data Observability
- Metaplane provides a comprehensive view of your data quality across the entire data pipeline, from the source systems to your BI tools, helping you identify issues before they impact your business.
- 2. Fast Setup and Training
- Unlike other tools that can take weeks to implement, Metaplane boasts a quick setup time of approximately 15 minutes, with alerts being generated in as little as 3 days.
- 3. Data CI/CD with Downstream Impact Analysis
- This feature allows you to prevent data quality issues during code changes by forecasting which downstream tables and dashboards will be affected by your modifications.
- 4. Pay for What You Use Pricing
- Metaplane's pricing model differs from competitors by allowing you to monitor and pay only for the specific tables that are critical to your operations, optimizing costs.
- 5. Snowflake Native App
- Metaplane offers a native application for Snowflake, bringing its data observability features directly into your Snowflake environment and allowing you to utilize your existing Snowflake credits.
- 6. Automated Alerts with Context
- The platform provides targeted and informative alerts, giving you the necessary context to quickly understand and resolve data quality incidents.
Additional features
- 1. Monitoring and Anomaly Detection
- This feature allows you to track and analyze data quality metrics across various sources and BI tools.
- 2. Usage Analytics
- Metaplane helps you understand how your data is being utilized, by whom, and how frequently, enabling you to optimize data usage and reduce data debt.
- 3. Data CI/CD
- Enables you to integrate data quality checks into your development workflow, preventing issues from reaching production.
- 4. Schema Change Alerts
- You receive notifications whenever changes are made to your database schemas, tables, or columns.
- 5. Lineage and Impact Analysis
- Provides a clear visualization of your data's journey, from its origin to consumption, helping you understand the impact of potential changes or issues.
- 6. Job Monitoring
- (Implied) The platform likely monitors the status and performance of data-related jobs.
- 7. Alerts
- Sends automated notifications when data quality issues are detected.
- 8. Integrations
- The platform is designed to connect and work with various tools within your data stack.
- 9. dbt Alerting
- A standalone tool offered by Metaplane to route dbt alerts to Slack or MS Teams.
- 10. dbt Inspector
- An open-source tool to help you understand and debug your dbt runs.
- 11. Schema Change Tracker
- (Redundant with "Schema Change Alerts") Notifies you about additions, renames, or removals of database elements.
- 12. Snowflake Native App
- Integrates Metaplane's functionality directly within Snowflake.
- 13. Enterprise-grade Security
- The platform adheres to security standards like SOC 2 Type II and privacy regulations such as GDPR, CCPA, and HIPAA.
- 14. Read-only Access
- Metaplane only accesses metadata and does not store your actual data or any PII.
- 15. Predictive Pricing
- Offers enterprise pricing with potential discounts based on usage volume.
Pricing
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About Metaplane
Metaplane is a data observability platform from Datadog that helps organizations monitor their data pipelines. It provides features such as automated data quality checks, observability dashboards, and alerting systems so users can quickly identify and resolve data issues. Metaplane supports a variety of data sources and integrates with existing data tools, making it suitable for diverse tech ecosystems. Users can gain insights into data flow and lineage, ensuring they maintain high standards of data reliability. Key capabilities: data quality monitoring observability dashboards custom alerting integration with data tools data lineage tracking Best for: data engineers and analysts that need to ensure data integrity and monitor data workflows effectively.
Metaplane Details
Metaplane's In-App Market Place
Does Metaplane have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
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USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), RUB (₽), INR (₹), BRL (R$)
Pros & Cons
- 1. Metaplane is praised for its ease of setup and immediate delivery of valuable data warehouse insights.
- 2. The software enhances operational observability specifically for data loading processes.
- 3. It has successfully helped build trust with end users by proactively identifying and resolving data issues before they are noticed.
- 4. The lineage functionality of Metaplane is highly beneficial for understanding data dependencies and planning data modeling efforts.
- 1. As a new and evolving product, Metaplane currently has some limitations in its features.
- 2. Users have noted that improvements in role-based access control (RBAC) would be beneficial.
- 3. The current permission structure does not allow for wider access by business users for data quality testing.
- 4. The software currently lacks reporting capabilities for query performance.
Metaplane's Support Options
Email Address
team@metaplane.devMetaplane's Alternatives
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