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Revolutionize your data governance strategy with our intelligent Metadata Management Platform. Discover, catalog, and govern all your data assets automatically—built for enterprise scalability, real-time lineage, and regulatory compliance
AI-powered scanning across databases, cloud platforms, and data lakes with intelligent metadata extraction and automated classification
Visual data lineage mapping with automated dependency tracking and change impact analysis for proactive data management
Policy-driven governance with automated compliance monitoring, data quality rules, and regulatory framework alignment
Intuitive search interfaces with business glossaries, collaborative annotations, and democratized data access for all users
Automatically discover and classify sensitive data, PII, and business-critical assets across hybrid environments with ML-powered scanning, pattern recognition, and smart tagging for comprehensive data inventory at enterprise scale
Visualize end-to-end data lineage with interactive maps, dependency graphs, and real-time impact analysis using automated parsing, column-level lineage, and change propagation for data pipeline optimization
Implement automated compliance with policy enforcement, data quality rules, and regulatory frameworks supporting GDPR, CCPA, SOX, and industry-specific regulations with audit-ready documentation
Enable citizen data scientists with natural language search, business glossaries, data profiling, and collaborative annotations using AI-powered recommendations and context-aware suggestions
Eliminate manual cataloging and reduce governance overhead with AI-powered discovery that handles all data sources and formats. 85% reduction in cataloging time, 90% improvement in data findability
Accelerate regulatory compliance with automated policy enforcement and continuous monitoring across distributed data environments. 75% faster compliance audits, 95% reduction in compliance risks
Simplify data management with automated lineage, quality monitoring, and lifecycle governance. 60% reduction in operational costs, 80% improvement in data reliability
Master the deployment of intelligent data catalogs for self-service discovery, automated classification, and business glossary management—enabling data democratization with enterprise controls
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Deploy metadata solutions across AWS, Azure, and Google Cloud with optimal governance, security, and compliance considerations for enterprise-scale operations
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Accelerate data discovery with AI-powered classification, automated tagging, and intelligent recommendations—enabling smart governance and enhanced data intelligence
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Ensure regulatory compliance with automated data mapping, privacy impact assessments, and consent management—enabling comprehensive data protection and audit readiness
Explore how our Metadata Management platform seamlessly integrates across your entire data ecosystem. Built for interoperability and flexibility, it connects with leading governance tools and platforms from discovery to compliance and analytics
Native connectivity with enterprise databases, cloud platforms, data lakes, and SaaS applications using automated connectors for Snowflake, Databricks, AWS, Azure, and on-premise systems
Seamless integration with data governance platforms such as Collibra, Informatica, Alation, and Apache Atlas for unified governance and policy management across hybrid environments
Built-in support for MLflow, DataRobot, and popular ML frameworks including TensorFlow, PyTorch with integrated model governance and feature store management for end-to-end ML lifecycle
Deploy across AWS, Microsoft Azure, and Google Cloud with native integration to cloud services like AWS Glue, Azure Purview, Google Data Catalog for optimal performance and cost efficiency
Integrate with enterprise security tools including Active Directory, LDAP, SAML, and cloud-native IAM services for comprehensive access management, audit trails, and role-based governance
Out-of-the-box integration with leading BI and analytics platforms such as Tableau, Power BI, Looker, and Qlik, enabling seamless lineage tracking, metadata enrichment, and consistent data definitions across reporting environments