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Metadata Management tools for PostgreSQL
List of metadata management tools
Metadata management tool is a solution that supplements the data stored by the enterprise environment with useful information. Proper metadata management is a crucial factor to make information searchable, easy to locate and understand. Such tools add meaningful context to raw data, making it convenient to discover even by non-IT members of an organization.
Dataedo
Dataedo centralizes metadata management by organizing, documenting, and categorizing data assets across multiple sources. Key features include Auto AI Documentation, Business Glossary, Data Classification, Data Lineage, and Data Profiling.
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Data3Sixty Govern
Infogix Data360 Govern is an enterprise metadata management, data governance, and data catalog solution that discovers the quality, value, and trustworthiness of your data sets. It enables you to quickly crawl, profile, score and manage complex metadata. You’ve then built a single, searchable inventory of data assets for future use.
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Io-Tahoe
Io-Tahoe is an enterprise smart data discovery and AI-driven data catalog product that enables enterprises to accelerate to next-generation data management practices, radically improving data governance and regulatory compliance. It automatically discover data relationships across the enterprise and identifies changes and trends within a data source over a period of time, leveraging Io-Tahoe’s smart data discovery capability to assess changes to metadata.
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Adaptive Metadata Manager
Adaptive Metadata Manager comprises a number of highly configurable software components that provide an organization with the eight-core capabilities required to govern and improve virtually any data-driven business capability. These capabilities are: Data Lineage, Data Quality, Impact Analysis, Business Terminology, Business to Technical Traceability, Version Management, Change Approval Workflow, Stewardship, and Automated Harvesting & Stitching.
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erwin Data Catalog
erwin Data Catalog (erwin DC) is metadata management software that helps organizations learn what data they have and where it’s located, including data at rest and in motion. It tells you the data and metadata available for a certain topic so those particular sources and assets can be found quickly for analysis and decision-making.
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Oracle Enterprise Metadata Management
Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.
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TopBraid EDG–Metadata Management
TopBraid EDG-Metadata Management (TopBraid EDG-MM) lets organizations govern information about their data assets, software applications, infrastructure, business capabilities, and processes. It is key to managing enterprise data as assets and to understanding the lineage of the data and its metadata.
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Ataccama Metadata Management & Data Catalog
Ataccama Metadata Management & Data Catalog is an AI-powered metadata management module. It’s a central storage for all of your metadata—imported from other sources, crowdsourced, or automatically captured in continuous data discovery processes.
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MetaCenter
MetaCenter is an enterprise metadata management and data governance platform. MetaCenter enables business and technology teams to catalog and classify an organization's information assets. Users can self-service questions about their data assets and how data flows through the business and classify how it should be used.
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Octopai
Octopai automates metadata management and analysis, enabling enterprise BI groups to quickly, easily and accurately find and understand their data for improved operations, data quality and data governance.
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Global IDs
The Global IDs Enterprise Data Automation (EDA) platform builds metadata using its discovery, profiling, classification, lineage, and catalog functions, overcoming barriers between silos and creating a unified map of the entire enterprise data landscape: the location of data, its meaning and dependencies, and its flow patterns through the ecosystem.
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Alteryx Connect
Alteryx provides metadata management that natively extracts and refreshes field names, schemas, and more to speed integration and flex with change. It automatically loads field names, types, objects, schemas, and relationships from common sources to speed analytics and cataloging.
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IBM Watson Knowledge Catalog
IBM Watson® Knowledge Catalog is an open and intelligent data catalog for managing enterprise data and AI model governance, quality and collaboration. It provides unique capabilities that include automated data discovery and metadata generation, ML-extracted business glossary from most common regulatory terms, and many more.
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SAP Data Intelligence
SAP Data Intelligence provides metadata management, data catalog and data governance functionality. The tool uses metadata crawlers to explore, classify, and label data assets across your connected landscape. It also enables you to review transformation history and metadata to quickly understand how, where, and why data has been altered.
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Google Cloud Data Catalog
Google Cloud Data catalog is a fully managed and highly scalable data discovery and metadata management service that empowers organizations to quickly discover, manage, and understand all their data in Google Cloud. It offers a simple and easy-to-use search interface for data discovery, a flexible and powerful cataloging system for capturing both technical and business metadata.
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Metadata management tools are usually multifunctional programs that provide a wide spectrum of usability. They include functionalities such as:
• Data catalog,
• compatibility with multiple connectors, making the tool a single source of truth about the data from different repositories,
• Business glossary,
• Data lineage,
• Data profiling,
• Impact analysis,
• Metadata ingestion and translation.
From the organization's point of view, the ability to export the created documentation into user-friendly formats is also important. What is more, some of the tools offer a community module, which facilitates the information flow.
Metadata management solutions oversee data across its entire lifecycle. This typically covers four primary areas: data analysis, data value, data governance, risk and compliance.
Proper metadata management implementation allows for standardized metadata definitions, management, and maintenance of information across the organization for greater business efficiency.
Today, as data becomes increasingly important to the growth of company performance, choosing the right way to manage it is equally essential.
To help you find the right tool for your organization, we have put together this list of best metadata management solutions.