About Tool

Euno helps data teams by building a comprehensive metadata catalog that stitches together lineage, usage patterns, ownership, semantics, and code across the data stack. It transforms passive metadata into an active “context layer,” tagging data assets to indicate trust and readiness for analytics or AI use. The platform supports data governance, cleanup, semantic-model standardization, and audit workflows helping organizations avoid data chaos, reduce redundancies, and maintain a clean, governed data environment. Euno balances agility and control, allowing analysts to work freely while ensuring all data models remain consistent, governed, and auditable.

Key Features

• Automated metadata catalog: collects metadata across warehouses, BI tools, dashboards, and data models, tracking lineage, dependencies, and utilization
• Active metadata tagging: labels assets as certified, compliant, PII-free, or fresh to indicate trustworthiness
• Semantic model and data-model governance: ensures consistent business metric definitions and resolves conflicts across dashboards and tools
• Dashboard and data-product certification workflows: enforce standards for high-use or critical data assets
• Cleanup and optimization: detects stale or unused data models and resources to declutter the data environment
• AI-powered metadata querying: ask questions in plain language about data assets, lineage, dependencies, and usage
• Integration with modern data stack tools for seamless adoption and minimal disruption

Pros

• Increases trust and clarity by unifying metadata and governance across the organization
• Makes governance scalable with automated tagging and certification workflows
• Ensures semantic consistency across dashboards, BI tools, and data models
• Enables safe self-serve analytics for business analysts
• Optimizes resources by identifying stale or unused data assets

Cons

• May be heavy for small teams or simple data stacks
• Initial setup and integration with the data stack require effort
• Organizations without disciplined data modeling may not fully realize benefits

Who is Using?

Euno is targeted at data teams in mid- to large-sized organizations, including analytics engineers, data engineers, business analysts, and BI teams. It is particularly useful for companies with complex data stacks, multiple dashboards/models, and frequent changes where consistent metrics, governance, and trusted analytics outputs are critical.

Pricing

Euno offers custom enterprise pricing based on the number of data sources, data assets, and team size. Organizations typically engage with the vendor to get a tailored quote based on their scale and governance requirements.

What Makes Unique?

Euno combines automated metadata management with active governance workflows, creating a living data context layer that AI and BI tools can trust. Its ability to propagate consolidated semantic definitions across the entire data stack and maintain them dynamically sets it apart from static catalogs or documentation tools. The AI-powered metadata assistant allows easy querying without technical expertise.

How We Rated It

• Ease of Use: ⭐⭐⭐⭐☆ — intuitive interfaces; setup requires some effort
• Features: ⭐⭐⭐⭐⭐ — covers metadata cataloging, governance, semantic modeling, cleanup, and AI-driven querying
• Value for Money: ⭐⭐⭐⭐☆ — highly valuable for medium to large organizations; smaller setups may see limited ROI
• Flexibility & Utility: ⭐⭐⭐⭐⭐ — adaptable across data stacks, BI tools, and organizational scale

Euno is a robust platform for companies aiming to manage their data assets intelligently, enforce governance, and ensure trust across analytics and AI initiatives. For organizations with complex or growing data environments, it provides clarity, consistency, and control. Euno is a strong choice for enterprises seeking a scalable, AI-driven metadata governance solution.