Best Metadata Management Software
Metadata management software provides context and information for data assets stored across the enterprise. An effective metadata strategy should make data easily searchable and locatable, supporting both governance and analytics. Metadata management tools include data catalogs, or assemblages of data organized into datasets (e.g. searchable tables or other arrangements, facilitating exploration). Various kinds of metadata include titles, tags, date of creation (or last change), and source information (i.e. the application or data source from which a particular piece of data was derived). Metadata management software helps ensure that data is described consistently across departments or business units, providing a common language and taxonomy for enterprise data.
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Alation offers enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation operates in thethe data catalog market. With its Behavioral Analysis Engine, inbuilt collaboration capabilities,…
ER/Studio Enterprise Team Edition is a business-driven data architecture solution that combines multi-platform data modeling, business process modeling, and enterprise metadata for organizations of all sizes. Its features include:
Round-trip data modeling capabilities
Process and conceptual model…
The OneTrust Privacy and Data Governance Cloud provides privacy and data governance automation to help organizations better understand their data across the business, meet regulatory requirements, and operationalize risk mitigation to provide transparency and choice to individuals.…
Dataedo is a metadata management software that allows users to collect, preserve and share tribal knowledge in a single metadata repository – editable by selected experts and accessible for everyone.
A metadata management solution that includes data discovery, governance, data quality, observability, and people collaboration, available free and open source under an Apache 2.0 license. It provides a central store to integrate metadata from different sources in the data ecosystem,…
Oracle Enterprise Metadata Management (OEMM) is a metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, and data modeling.
Dockit Metadata Manager for SharePoint allows users to take control of metadata management in SharePoint. The vendor states SharePoint content without proper metadata renders SharePoint to be just a storage repository resulting in poor user adoption and gross under-utilization of…
Datavid Rover is an intelligence platform that brings data integration, entity extraction, and cognitive search in one place. It is used to uncover relationships between concepts and keep an eye on trends across the enterprise with document type and domain-level statistics. Datavid…
Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance…
DataHub's extensible metadata platform enables data discovery, data observability and federated governance, built for developers to help tame the complexity of data ecosystems. Also presented as a modern data catalog, the solution is built to enable end-to-end data discovery, data…
A solution that automatically extracts data lineage, that offers detailed and summary views of data movement across data pipelines.
DvSum is a AI-powered Data Intelligence platform that aims to make it easier for data and analytics teams to discover, monitor, and govern data. With AI-enabled algorithms, DvSum automatically catalogues, classifies, and curates data and makes it available as an actionable Data Catalog.…
An open-source data discovery & metadata engine, created at Lyft, and available free under an Apache 2.0 license. Amundsen aims to boost the productivity of data analysts, data scientists and engineers when interacting with data, by indexing data resources (tables, dashboards, streams,…
While generative AI unlocks possibilities for enterprises, companies first need to guarantee that their underlying data is reliable so that any crucial business decisions made using AI are based on complete, definition-aligned, and accurate information. So illumex offers a turnkey Generative Semantic Fabric that streamlines the pr…
A solution enables users to search, document and manage data, with data catalog, lineage, docs, dictionary, analysis and data requests in one collaborative and searchable platform. It is presented as a Data Enablement Platform built for data teams but designed to support anyone, that…
Accurity Software is a data governance suite from Simplity in the Czech Republic consisting of 5 modules for building a common data language, monitor data quality and correct data, explore data, and maintain reference data.
DQLabs, Inc is a provider of an augmented data platform for enterprises to manage data smarter. With ML, self-learning capabilities and a Data Quality first approach, organizations can connect, discover, measure, monitor, remediate and improve data quality across any type of data…
Element powers digitally-enabled operations for the Industrial Enterprise. Tackling a critical gap in Industrial IoT –– the fact that 95% of data across the Industrial Enterprise is unusable because it’s fragmented and disconnected –– Element Unify breaks through the data silos by…
Ekahaa Abstracta™ is a data abstraction solution to unify, restify, fortify and democratize data. Abstracta™ is a No code / Low code SaaS solution that auto generates APIs on any data source.
The data source can be relational such as Oracle, SQLServer, MySQL or NoSQL such as MongoDB or Cache like RedisCache or legacy application…
Zaloni's end-to-end DataOps software, Arena, provides a collaborative metadata catalog that connects multi-cloud and on-premises data silos, highly-controlled data quality, tokenization and governance tools, and extensible, self-service data enrichment and consumption. Zaloni works…
dataZense is an analytics, data security, cataloging & data science data platform, from ChainSys headquartered in Grand Ledge, Michigan, with offices global.
Learn More About Metadata Management Software
What is Metadata Management Software?
Metadata are the key characteristics of recorded data, including but not limited to data type, storage location, size, version, and connection to hardware or software. Metadata allows data to be easier to locate and retrieve, faster to identify, and more efficient to use for specific use cases. Thus, Metadata Management Software improves the maintenance and administration of metadata by providing a centralized format for this information to be collected, accessed, and analyzed. This facilitates faster and more robust data utilization and analytics processes.
Metadata Management Software ensures that you can edit and control data categorization. These tools reduce the complexity of data recordkeeping, allowing for easier data consolidation and management. Since Metadata Management Software organizes and tracks information about data, it can help you identify and appropriately handle sensitive content. This also makes Metadata Management Software useful for ensuring that governance, regulation, and compliance standards are met.
Metadata Management Software is similar to Master Data Management (MDM) Software in that they both consolidate, process, and analyze data information. However, Metadata Management Software is concerned exclusively with metadata and keeps data information separated and stored in repositories. Master Data Management (MDM) Software identifies and manages all data deemed essential, which may include metadata as well as other data sources, and then compiles these sources into a single master file.
Metadata Management Software Features
Metadata Management Software typically includes the following features:
- Data asset extraction, aggregation, and cataloging
- Automated data asset annotation
- Data asset relationship mapping and pattern analysis
- Data asset modeling
- Data asset lineage and movement tracking
- Data context management
- Data asset governance
- Data asset profiling
- Risk and compliance management and tracking
- Custom data dictionary and glossary creation
- External data dictionary and glossary importing
- Data integration and integrity control
- Data use and dependency visualization
- Data search and discovery
- Dataset exportation
- Impact analysis
- Semantic search
- Collaborative and group functionality
- User access control and authorization
- Customizable GUI and UX tools
- NoSQL support
- Big data support
- Object Storage support and referencing
- Knowledge databases
Metadata Management Software Comparison
When comparing Metadata Management Software, these are the most common considerations:
Type of data. The type of data you need to manage metadata for will play a major role in choosing the best product for you. Many vendors offer industry or data-specific products to help efficiently integrate their solutions into your workflow. For example, if you anticipate working with big data, ASG Technologies Data Intelligence has specific support for these sources. Alternatively, Collibra can efficiently manage metadata coming from the Internet of Things, artificial intelligence, and machine learning.
Data relationship tools. Metadata can detail how data interact with each other, which in turn provides insight into customer behavioral patterns, data access trees, and other useful information. How a product handles identifying these relationships will be important to consider. Automated discovery from Io-Tahoe allows ‘dark’ data relationship discovery, illuminating obscure or unexpected relationships in structured, unstructured, and semi-structured data. Smartlogic Semaphore offers a customizable rules-driven approach to relationship tracking, which includes identifying and handling sensitive data appropriately. This makes Semaphore a great option for industries such as healthcare and financial services.
Data analytics tools. Related to data relationship tools, you’ll want to consider how deeply the Metadata Management Software allows you to report, visualize, and export findings on individual data or changes in data over time. For example, IBM Watson Knowledge Catalog offers impact analysis and dynamic information management, allowing users to identify the relative importance of individual data items within their native environments. Alex Solutions offers a wide range of visualization and reporting tools, granting great visibility into data assets.
System compatibility. You’ll want to make sure your Metadata Management Software seamlessly and effectively complements your current workflow. A solution’s platform, application, language, and architecture compatibility will be crucial in successful integration. Informatica is platform and app agnostic, and supports the widest array of information architectures.
Indirect costs. Metadata management is important because it touches on many corners of your organization, including the areas you may not think of first, or by finding previously unseen relationships in your data. For this reason, there may be costs outside of licensing, including new or adapted IT or security measures, additional training, or unexpected issues stemming from improper data management. Regardless of your choice of Metadata Management Software, you’ll want to make sure that you can reduce the likelihood of indirect costs.
Pricing Information
Metadata Management Software tends to be enterprise grade and thus requires price quoting and custom pricing plans based on your business needs. Plans tend to be subscription based, with the lowest tiers ranging from $50 to $1300 per month per user at the lowest levels. Free trials and demos are available. Apache Atlas is a free, open-source Metadata Management Software, which will require the user to personally install, integrate, and update the product.
Related Categories
Frequently Asked Questions
What does Metadata Management Software do?
What are the benefits of using Metadata Management Software?
What are the best Metadata Management Software products?
The most popular Metadata Management Software are:
- ASG Technologies Data Intelligence
- IBM Watson Knowledge Catalog
- Alex Solutions
- Informatica Metadata Manager
- Io-Tahoe
- Smartlogic Semaphore
- Collibra
- Adaptive Metadata Manager
- Apache Atlas
- Azure Data Catalog
- Octopai
- erwin Data Catalog