Name: Metaplane
Price: 250 USD
Author: Metaplane

Help Desk

Web and Video Conferencing

Customer Support

Bug  Tracking

WebOps

Development

Business Intelligence (BI)

Collaboration

Visual Collaboration

VoIP

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

On-Demand Payment

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printers

API Management

App Development

Browser

Cloud Storage

Component Content Management

Data Observability

Enterprise Architecture Management

Fraud Detection

Hosted Virtual Desktop

Hyper-Converged Infrastructure

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Interoperability

MLOps

Network Access Control (NAC)

Network Performance Monitoring

Remote Support

Requirements Management

Security Awareness Training

Session Border Controllers

Voice Recognition

Web Application Firewalls

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Content Marketing

Digital Signage

Direct Mail Automation

Email Management

Email Marketing

Event Registration

Marketing Automation

Marketing Resource Management

Online Reputation Management

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Business Caller ID

Professional Services Automation

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Intelligence

Sales

Data Loss Prevention

Insider Risk Management

Security

Commercial Drone

Construction Accounting

HIPAA Compliance

Multiple Listing Service (MLS)

Smart Cities

Utilities

Vertical-Specific

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### Data Quality Monitoring
Users generally praise Metaplane for its robust data quality monitoring capabilities. The platform's ability to detect anomalies, monitor data quality in real-time, and provide customizable alerts has been well-received by users. Despite some minor issues with newly released features, users appreciate Metaplane's proactive approach to data quality monitoring and its AI-driven predictive capabilities. The platform's ease of use in setting up tests and its continuous improvement based on user feedback have contributed to its positive reputation in the realm of data quality monitoring.

### Data Issue Detection
Reviewers consistently praise Metaplane's robust data issue detection capabilities. Users appreciate how Metaplane helps them identify data anomalies quickly and efficiently, allowing them to catch errors before they impact business operations. The platform's ability to detect and respond to data issues promptly has been a significant asset for many teams, enhancing their overall data quality monitoring processes.

### Alert Management
Users generally praise Metaplane's alert management capabilities, highlighting the effectiveness of the slack alerts and the ease of setting up custom alerts for various data monitoring needs. The ML algorithm for understanding data trends and anomalies was particularly appreciated for its accuracy in providing meaningful alerts. While some users noted initial challenges with noisy alerts, they acknowledged the responsiveness of the Metaplane team in addressing feedback and improving the alerting system. The ability to proactively detect anomalies and promptly alert the team was a key feature that users found valuable in maintaining data integrity and reliability.

### End User Experience
User feedback consistently highlights Metaplane's end user experience as a key strength, emphasizing its ability to build trust with end users and provide timely alerts to data engineers and analytics teams. The simplicity of Metaplane's plug-in solution is praised for saving significant time and enhancing communication with end users regarding data changes. Additionally, the lineage functionality is commended for its utility in alerting specific end users about upcoming modifications to data sources, further enhancing the overall end user experience.

### Data Team Collaboration
Users consistently praise Metaplane's ability to enhance collaboration within the data team. They appreciate how the platform facilitates communication and coordination among data engineers and analytics engineers, allowing for quick detection and resolution of issues before they impact end users. The added lineage functionality is highlighted as particularly useful in ensuring smooth data operations and proactive problem-solving. Metaplane's role in fostering trust with end users through efficient alerting mechanisms is also a key factor in its positive reception within data teams.

### Integration and Connectivity
Users generally praise Metaplane for its robust integration capabilities and connectivity features. They appreciate the ease of setting up connections with various tools like dbt and Looker, which enhances their data monitoring processes. While some users express a desire for additional integrations with tools like Hightouch for improved lineage tracking, overall, Metaplane's integration and connectivity functionalities are seen as valuable assets in ensuring smooth data operations and efficient collaboration within their organizations.

### Data Pipeline Management
Reviewers consistently highlight Metaplane's robust data pipeline management capabilities. Users appreciate how Metaplane aids in identifying ETL failures in real-time, providing confidence in data quality. The platform's ability to monitor source data for schema changes and anomalies in the data warehouse is particularly valued, ensuring smooth data operations and preventing disruptions in downstream reporting. Additionally, Metaplane's feature set, including predictive models for load times, data lineage visualization, and query optimization, contributes to a comprehensive data pipeline management solution that users find beneficial for their data workflows.

### Schema Management
Metaplane's schema management functionality has garnered positive feedback from users, who appreciate its ability to monitor and alert about schema changes effectively. Users find value in the platform's capability to identify potential data quality issues and track schema modifications in real-time. The ease of use and proactive nature of Metaplane's schema management features have been highlighted as significant advantages by reviewers. Additionally, the platform's ability to monitor Snowflake credit usage and provide insights into schema changes has been particularly beneficial for users in optimizing their data management processes.

### Data Lineage Tracking
User sentiment is generally positive regarding Metaplane's data lineage tracking capabilities. Reviewers appreciate the end-to-end visibility provided by Metaplane, allowing for a clear understanding of data pipelines and automated data quality checks. The robust data lineage features, including tracking from various sources to BI tools, have been highlighted as valuable for understanding business impacts of modeling changes. Additionally, the ability to visualize data lineage and track schema changes within the warehouse has been praised for enhancing operational efficiency and decision-making processes.

### Reporting and Dashboards
Reviewers have varying opinions on Metaplane's reporting and dashboards functionality. While some users appreciate the ease of use and the ability to track data quality across different datasets, others find limitations in the user interface and search capabilities. There are suggestions for improvement in terms of embedding dashboards onto other reporting pieces and enhancing query performance reporting. Despite these mixed reviews, users acknowledge the value of Metaplane in identifying failing ETL pipelines and providing insights into potential issues before they impact downstream reporting and customer experiences.

### Data Model Analysis
Users consistently praise Metaplane's robust data model analysis capabilities, highlighting its effectiveness in understanding potential bottlenecks in ETL tools, visualizing data lineage, identifying long-running queries, and tracking schema changes within the warehouse. The general sentiment is that Metaplane's data model analysis features provide valuable insights that aid in optimizing data processes and enhancing overall business understanding.

### Data Analytics and Insights
Users generally praise Metaplane's comprehensive data monitoring and alerting capabilities. The tool's ability to provide insights and analytics on data usage, anomalies, and table queries is highly valued by data engineers and analytics teams. Metaplane's intuitive setup for anomaly detection and accurate alerts have been highlighted as key strengths, allowing users to proactively address data issues and optimize performance. Additionally, the platform's feature set, including data lineage visualization and automated tests, contributes to enhancing data trust and decision-making processes within organizations.

### Data Warehouse Optimization
Users consistently highlight Metaplane's data warehouse optimization features as a key strength of the platform. They appreciate how Metaplane enables proactive identification of issues within the data warehouse, allowing for timely resolution before impacting business operations. The ability to track data lineage, monitor schema changes, and optimize query performance are particularly valued by users, enhancing the overall efficiency and reliability of their data warehouse operations.

### Data Source Management
Metaplane's data source management capabilities have garnered consistent praise from users across various teams. Users appreciate the platform's ability to provide a comprehensive overview of data lineage, model freshness, and source data usage. The intuitive interface and automated tests utilizing machine learning have proven valuable in identifying anomalies and tracking schema changes within the warehouse. Additionally, the integration with Github has facilitated insights into data model shifts, enhancing the overall data management experience for users.

### Metadata Handling
Users have expressed a desire for enhanced integration capabilities with tools like Hightouch to further enrich Metaplane's metadata handling functionalities. While some users await additional features like aggregated data and improved lineage tracking, there is an overall positive anticipation for future enhancements in metadata management within the platform.

Metaplane has become a game-changer for users looking to improve the quality of their data and monitor potential issues in real-time. By setting up new tests with ease and leveraging AI, users of Metaplane can identify ETL failures before they affect downstream reporting or negatively impact customer experiences. With Metaplane's added functionality, analysts and data engineers are now proactively spotting problems, which saves credibility and provides comfort that there is a system in place to monitor data.

Users can have confidence that they will know when something negatively impacts their data warehouse or connected systems and workflows. Metaplane's lineage and usage reporting features help plan changes in the data warehouse by alerting users to upstream changes they may not have been informed about. The product has improved trust in data, reduced trust gaps, and provided value to many teams outside of the Data Team. Furthermore, the product is easy to connect to databases and integrates seamlessly with other tools like dbt and Looker. The product fills a huge gap in the monitoring ecosystem and becomes a critical part of users' daily workflow while providing a ton of value.

Flexible and Dynamic Self-Service Tool: Many users have praised Metaplane for being a highly flexible and dynamic self-service tool that anticipates their needs with a broad range of technology integrations. They appreciate the ease of use in tracking data lineage, training models, setting up data tests, and adding customized tests and schedules.

Helpful Customer Support: Several reviewers have appreciated the fair pricing and helpful customer support provided by Metaplane. They find the team to be attentive and caring about their experiences, continually working on improving the tool while taking feedback from users into account.

Valuable Data Monitoring Features: A significant number of reviewers see Metaplane's ability to provide accurate alerts as impressive. Its unique use of historical metadata to detect anomalies was noted as a significant advantage, making it a valuable tool for data monitoring. Additionally, its ability to alert users to changes in data models before they become problems was seen as an impressive accomplishment, providing endless value.

UI Issues: Some users have expressed dissatisfaction with the user interface of Metaplane, citing it as inefficient and buggy. Users have reported difficulties while working with large data tables.

Steep Learning Curve: A few users have found the learning curve of Metaplane to be steep, suggesting that more documentation or tutorials could help them better understand the software's concepts and approaches. Additionally, some users would like to have all their tests as code to avoid clicking around the UI.

Limited User Management Customization: Some users express concerns regarding a lack of control over user management and suggest that there could be more customization options provided for rolling out access to wider teams beyond the core Data Engineering team. Full admin control by default is also an issue raised by some reviewers.

TimeXtender was designed to be a holistic solution for data integration that empowers organizations to build data solutions 10x faster using metadata and low-code automation.

TimeXtender

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Data observability for everyone: A Metaplane Demo (Kevin Hu)

Test page: See the results of a test over time. Annotate results to improve future test performance.

Slack alert: A failing “freshness” test. “Mark as anomaly” / “Mark as normal” buttons allow you to give feed back to Metaplane’s test model. The alert also shows Metabase reporting assets that depend on the table with the failing test.

Lineage page: Shows dependencies between the warehouse and Business Intelligence tools. Migrate data with confidence when you can see what reporting assets depend on it.

Custom SQL Tests: Tailor tests to your data and objectives by writing SQL queries.

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What is Metaplane?