Metaplane Data Observability v2 is the ultimate data observability platform for modern data teams, ensuring data quality from source to BI. With features like automated alerts, column-level lineage, and Data CI/CD, it catches silent issues before they impact your business. Fast setup, ML-powered monitoring, and Snowflake integration make it a must-have for scalable, secure data reliability. Try Metaplane today for proactive data health.
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Published:
2024-09-08
Created:
2025-05-08
Last Modified:
2025-05-08
Published:
2024-09-08
Created:
2025-05-08
Last Modified:
2025-05-08
Data Observability v2 by Metaplane Product Information
What is Data Observability v2 by Metaplane?
Data Observability v2 by Metaplane is an end-to-end data observability platform designed to detect and resolve data quality issues before they impact business operations. It offers features like monitoring, lineage tracking, automated alerts, and Data CI/CD to ensure data reliability across modern data stacks. The platform uses machine learning to account for trends and seasonality, providing accurate insights without manual setup.
Who will use Data Observability v2 by Metaplane?
Data Observability v2 by Metaplane is ideal for modern data teams, including data engineers, analysts, and BI professionals. It’s tailored for organizations that rely on data-driven decision-making and need to ensure data accuracy, lineage, and quality across their pipelines, warehouses, and BI tools.
How to use Data Observability v2 by Metaplane?
- Set up monitors: Quickly configure data quality monitors without coding, tracking dimensions like freshness and volume.
- Track lineage: Automatically map column-level lineage from sources to BI tools.
- Enable alerts: Receive targeted notifications for data incidents with actionable context.
- Integrate Data CI/CD: Prevent issues in pull requests by running automated regression tests.
- Analyze insights: Optimize data usage by identifying high-priority queries and reducing data debt.
In what environments or scenarios is Data Observability v2 by Metaplane suitable?
Data Observability v2 by Metaplane is suited for environments like data warehouses (e.g., Snowflake), BI tools, and CI/CD pipelines (e.g., dbt, GitHub/GitLab). It’s ideal for scenarios requiring proactive data quality monitoring, lineage visualization, or automated incident resolution, especially in teams managing large-scale, complex data stacks.
Data Observability v2 by Metaplane Features & Benefits
What are the core features of Data Observability v2 by Metaplane?
- Monitoring: Track data quality from source to BI with no-code configuration and accurate modeling.
- End-to-end lineage: Visualize column-level lineage across your entire data stack without manual setup.
- Data insights: Optimize data usage by analyzing who, where, and how frequently data is accessed.
- Data CI/CD: Prevent quality issues in pull requests via automated regression and impact tests.
- Automated alerts: Receive targeted notifications with context for faster issue resolution.
What are the benefits of using Data Observability v2 by Metaplane?
- Proactive issue detection: Catch silent data quality problems before they affect business operations.
- Time savings: Fast setup (15 minutes) and alerts in as little as 3 days.
- Cost efficiency: Pay only for monitored tables, with scalable pricing and optional add-ons.
- Enhanced collaboration: Integrates with dbt, GitHub, GitLab, and Snowflake for seamless workflows.
- Security: Keep data secure with in-warehouse monitoring (e.g., Snowflake native app).
What is the core purpose and selling point of Data Observability v2 by Metaplane?
- End-to-end observability: Provides comprehensive monitoring from data sources to BI tools.
- ML-powered accuracy: Accounts for trends and seasonality, unlike rigid custom tests.
- No-code simplicity: Enables quick setup and configuration without engineering overhead.
- Downstream impact visibility: Forecasts how code changes affect tables/dashboards before merging.
- Flexible pricing: Pay-as-you-go model with enterprise-ready annual contracts.
What are typical use cases for Data Observability v2 by Metaplane?
- Data team collaboration: Monitor pipelines and share insights across engineers, analysts, and stakeholders.
- CI/CD integration: Safeguard data quality during dbt/GitHub/GitLab pull request merges.
- Cost optimization: Identify unused or redundant data to reduce storage and compute expenses.
- Regulatory compliance: Track schema changes and lineage for audit trails.
- Snowflake environments: Leverage native app features without data leaving the warehouse.
FAQs about Data Observability v2 by Metaplane
What is Data Observability v2 by Metaplane?
Data Observability v2 by Metaplane is an end-to-end data observability platform designed to detect silent data quality issues before they affect business operations. It offers monitoring, lineage tracking, data insights, CI/CD integration, and automated alerts to help modern data teams maintain high-quality data pipelines efficiently.
How does Data Observability v2 by Metaplane monitor data quality?
Data Observability v2 by Metaplane allows users to quickly add and configure monitors without writing code. It tracks data quality across different dimensions within tables using accurate modeling, ensuring issues are caught from source to BI tools.
What makes Data Observability v2 by Metaplane different from other tools?
Data Observability v2 by Metaplane stands out with its fast 15-minute setup, machine learning that accounts for seasonality/trends, and column-level lineage without manual configuration. Unlike competitors, it only charges for monitored tables, reducing unnecessary costs.
Can Data Observability v2 by Metaplane integrate with dbt?
Yes, Data Observability v2 by Metaplane fully supports dbt Core and Cloud workflows. It provides CI/CD features to prevent data quality issues during pull requests and offers standalone dbt alerting tools for Slack/MS Teams.
How quickly does Data Observability v2 by Metaplane detect issues?
Data Observability v2 by Metaplane can start showing alerts in as little as 3 days after the quick 15-minute setup. Its machine learning models continuously monitor for anomalies while accounting for data trends and seasonality.
Does Data Observability v2 by Metaplane work with Snowflake?
Yes, Data Observability v2 by Metaplane offers native Snowflake integration. You can run all observability features directly within Snowflake, pay with Snowflake credits, and ensure your data never leaves your warehouse for enhanced security.
What kind of alerts does Data Observability v2 by Metaplane provide?
Data Observability v2 by Metaplane delivers targeted, context-rich notifications about data quality issues. These automated alerts help teams quickly understand and resolve problems, with options to route them to Slack or MS Teams channels.
How does Data Observability v2 by Metaplane handle pricing?
Data Observability v2 by Metaplane offers usage-based pricing where you only pay for monitored tables, unlike competitors that charge for entire warehouses. Pricing scales flexibly, with annual contracts available for enterprise customers.
Can Data Observability v2 by Metaplane track schema changes?
Yes, Data Observability v2 by Metaplane includes a schema change tracker that notifies users when databases, schemas, tables, or columns are added, renamed, or removed, helping maintain data integrity across systems.
Is there a free version of Data Observability v2 by Metaplane?
Yes, Data Observability v2 by Metaplane offers free tools including dbt alerting and inspector, along with free-tier access to its core platform features. You can start for free and scale as needed.
Data Observability v2 by Metaplane Company Information
Company Name:
MetaPlane
Website:
Analytics of Data Observability v2 by Metaplane
Traffic Statistics
29.2K
Monthly Visits
4.1
Pages Per Visit
45.03%
Bounce Rate
90
Avg Time On Site
Monthly Visits
User Country Distribution
Top 5 Regions
US
53.26%
IN
9.09%
NG
5.41%
GB
4.47%
AU
3.70%
Traffic Sources
Social
2.96%
Paid Referrals
0.64%
0.08%
Referrals
8.68%
Search
36.94%
Direct
50.71%
Top Keywords
| Keyword | Search Volume | Cost Per Click | Estimated Value |
|---|---|---|---|
| metaplane | 2.8K | $4.20 | $1.3K |
| snowflake where do they store lineage data | 50 | $-- | $267 |
| dbt model lineage | 20 | $-- | $187 |
| how to manage database schema changes in real time live application | -- | $-- | $160 |
| do we have any tools to monitor data freshness | 40 | $-- | $134 |
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