Active Metadata Management Reviews and Ratings
What are Active Metadata Management Solutions?
Active metadata management is a set of capabilities that enables continuous access and processing of metadata that support ongoing analysis over a different spectrum of maturity, use cases and vendor solutions. Active metadata outputs range from design recommendations based upon execution results and reports of runtime steps through, and indicators of, business outcomes achieved. The resulting recommendations from those analytics are issued as design inputs to humans or system-level instructions that are expected to have a response.
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Alation, a vendor in enterprise data intelligence solutions, enables self-service analytics, cloud transformation, data governance, and AI-ready data. More than 550 enterprises build data culture and improve data-driven decision-making with Alation.
Collibra, established in 2008, provides data solutions via its Data Intelligence Cloud. The company focuses on delivering trustworthy data across multiple sources for various uses and users. Their specialty lies in offering adaptable governance, relentless quality, and integral privacy to diverse kinds of data. Collibra's products find traction among the Global 2000 clientele, enabling these organizations to expedite their workflows and swiftly achieve superior results. Although the company operates globally, they maintain offices in several countries including the U.S., Belgium, Australia, the Czech Republic, France, Poland, and the U.K.
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement.
Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
Oracle is a cloud technology company that offers computing infrastructure and software solutions globally. This organization has developed an autonomous database, the first of its kind, to help manage and secure data. Oracle Cloud Infrastructure presents functionalities to facilitate the transition of workloads from on-site systems to the cloud, and vice versa, as well as between different clouds. Oracle's cloud software applications provide modern tools designed to support sustainable growth and resilience in businesses. Tools developed by Oracle are used by a wide range of users including nonprofit organizations and businesses of various sizes, to aid in operations like supply chain streamlining, human resource management, financial planning and connecting data and global users. Apart from business solutions, Oracle's technology also aids in tasks ranging from government defense to scientific and medical research.
SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning.
SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.
Quest Software enables enterprises to unlock the promise of AI by helping to build a foundation of AI-ready data, AI-powered identity and endpoint security and modern cloud-native platforms. Companies use Quest solutions to drive transformation, minimize risk and unlock the full value of their data.
Alex Solutions is a Metadata Management Platform that focuses on enabling users securely locate, comprehend, safeguard, and ethically utilize data. The central feature of Alex Solutions is the automated data lineage that is structurally designed for contemporary enterprise data systems. This feature aids in producing detailed business insights and supports regulatory reporting. The team at Alex Solutions boasts varied experiences and operates across the globe.
Atlan is a metadata platform designed to cater to the needs of data-driven teams. The system unifies metadata from diverse sources such as Snowflake, dbt, Databricks, Looker, Tableau, Postgres and others, consolidating them into a single source of truth for data discovery, cataloging, lineage, and governance. This platform covers all types of data assets, like columns, queries, metrics and dashboards. One of Atlan’s fundamental features is promoting the bi-directional movement of metadata, fostering a seamless, context-enriched operational environment for data teams across their regular toolsets and workflows. For instance, this feature could be beneficial when clarifying metrics on a dashboard within a BI tool.
Dataedo specializes in data cataloging, offering a product which acts as a single, definitive source of information about user data. The primary issue it addresses is the challenge of managing large volumes of data, providing an organized and systematic solution.
DataGalaxy is a data and AI product governance platform that enables organizations to connect strategy, product management, discovery, and business impact in a unified experience. The platform empowers cross-functional teams to collaboratively design, deliver, and scale trusted data & AI products with measurable business value.
Founded in Europe and rapidly expanding in the United States, DataGalaxy is trusted by over 200 global enterprises. The company is committed to driving data culture and literacy by helping organizations operationalize data and AI governance and unlock the full potential of their data assets.
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
SAP was founded in 1972 and is headquartered in Walldorf, Germany. The company employs over 105,000 people globally and develops software solutions for enterprise resource planning (ERP) and related business functions. SAP’s early products, SAP R/2 and SAP R/3, were widely adopted for managing core business processes. Its current ERP platform, SAP S/4HANA, uses in-memory computing to support data-intensive operations and integrates capabilities such as artificial intelligence and machine learning.
SAP offers a portfolio of software applications that support various business functions across industries. These applications are designed to operate on a unified digital platform. As of 2025, SAP reports over 230 million cloud users and provides more than 100 solutions. The company’s offerings are used by organizations to manage finance, human resources, procurement, supply chain, and other operational areas.
Ab Initio provides software for enterprise data integration, data management, and data governance. This include batch/real-time processing, business rules management, business user self-service, metadata, data quality, and more.
Solidatus is focused on providing solutions for managing complex data landscapes. It offers insights via dynamic discovery and visualization techniques, which serve to optimally govern data. The primary aim of Solidatus is to reveal underlying opportunities and potential threats while managing the impact of changes. By making the unknown known, it allows for an optimized infrastructure, heightened operational efficiency, and reduced risk.
ServiceNow is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes.
Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
Precisely is a worldwide company that specializes in data integrity. It offers services that enhance the accuracy, consistency, and context of data. The company's core focus is a range of products including data integration, data quality, data governance, location intelligence, and data enrichment. These products are designed to aid in business decisions to yield improved results.
Features of Active Metadata Management (Transitioning to Metadata Management Solutions)
Updated January 2026Mandatory Features:
Data lineage: Solutions must include the ability to track the first use of data elements within the enterprise throughout all instances of reuse, transmission, transformation, dependencies, and refactoring. This includes duration, frequency, volumes and user-to-use-case associations across its life cycle from source to destination.
Metadata operational support: Solutions must be able to support workflows and document metadata to complete operational management tasks such as data classification, access rights, data privileges/restrictions, process flow monitoring and other operational support tasks. They must be able to continuously capture operational logs and designs as well as runtime metadata from newly added data processes.
Metadata search and sharing: Solutions must enable users to search and explore metadata via a user interface, as well as graph-based visualizations of metadata relationships, usage, tagging and annotations. Additionally, solutions should make their metadata available for direct access or export in as comprehensive and complete a form as possible. Solutions should also aggregate and manage metadata from disparate data catalogs across an organization and provide a “single pane of glass” for discovering and accessing enterprise data assets. Metadata sharing should also be available via data download, API calls, or a data marketplace.
Metadata curation and analysis: Solutions must allow users to enrich metadata contents by creating additional metadata such as tags, comments or labels. Users can also link metadata assets to each other with user inputs that describe the cross-reference purpose for linking any two or more metadata assets. They can also analyze metadata collected from various sources to produce insights into data such as data usage patterns and performance across applications, data stores, use cases and user communities.
Metadata discovery: Solutions must be able to scan various data sources such as databases, applications, spreadsheets, XML files, media and content as well as other unstructured asset types to identify, extract and create metadata. Vendors should provide connectors or bridges for a wide range of data sources and systems including modern data stacks as well as legacy data environments. They should also include the ability to access directly or ingest metadata from beyond their native platform or suite of tools in which they are designed for deployment. Periodic updates regarding changes of use, design, distribution and management of data assets can be scheduled via event-based triggers or models that automatically recognize changes.
Data profiling: Solutions must provide statistical analysis of datasets to understand their structure, content and quality. This process involves collecting statistics and informative summaries about the data, which can help to identify data quality issues, such as missing values, inconsistencies and anomalies.
Ontology and taxonomy management: In a broad sense, metadata provides inputs to derive specific taxonomy from the enterprise data corpus. A solution must have an interface for reviewing the metadata as it develops and then editing the discovered relationships. The interface can take any of several forms. A simple tabular inventory is the minimum, but dictionary, catalog and glossary capabilities are more desirable. The ability to evaluate how the discovered taxonomy can be enriched to build, enhance or challenge ontology concepts within the enterprise is also highly desired.
Rules management: Solutions must enforce business rules that are tied to data elements and associated metadata. This capability provides dedicated interfaces for the definition and creation of rules or policies based on requirements from compliance, business operation, workflow or data quality. Solutions should also include the management of rules life cycles including versioning, certification, exception handling and alerts.















