Transform metadata into knowledge
Metadata management is an aspect of data management. The term “metadata” describes the different facets of an asset and can significantly improve the use of your data throughout its lifecycle. Metadata and its uses go far beyond technical issues. They are used as a reference for technical and business projects. They provide the basis for describing, inventorying and understanding data for multiple use cases.
How our metadata management platform works
To drive this emerging discipline, Zeenea provides everything you need to collect, update and leverage your metadata thanks to our next generation platform!
Cloud-native design
Scalable deployment model.
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Current metadata management solutions are fast becoming too expensive and too complicated. For us, the next generation metadata management platform must adopt the “Software as a Service” model, capitalizing on cutting-edge cloud technology.
Zeenea’s metadata management solution allows you to :
- Reduce significantly the costs of implementation
- Reduce significantly the costs of maintenance
- Improve data consumer access.
Universal connectivity
Connect to any data source.
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Zeenea is THE cloud metadata management solution on the market!
Our platform connects to any cloud or on-premise data source.
With Zeenea, clients acquire a centralized and unified metadata catalog connected to the future of their data.
Breaking with the past through a new architecture
Automate metadata curation.
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Zeenea has built a unique architecture to overcome the limitations of existing software and connect seamlessly to your data sources.
As a result, our clients:
- Can map their data assets with ease.
- Have access to a data landscape in tune with reality.
Whether your information is stored on-prem or in the cloud, we provide the connectors to curate, automate, and update in real-time the collection of metadata in the Zeenea platform.
Powered by next-gen technologies
Machine learning & IA at your service
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Complex machine learning algorithms enrich Zeenea’s reality driven approach and accompany data leaders of the future in this new data driven world.
Zeenea was developed to update technical and operational information (such as storage systems, dates, volume, etc.). The platform automatically and intelligently analyzes indexed assets via the platform (asset similarity, automatic documentation enrichment, context suggestion, etc.).
Adopting Zeenea Data Catalog ensures the automatic maintenance of shifting assets and continuous suggestions of highly relevant indicators to data leaders
One metadata management platform for all data sources
Our metadata management platform connects to all your data sources, your favorite apps and tools, and integrates your information automatically with our robust APIs. Here are some of the data platforms Zeenea connects to:









Connect your directories and simplify user authentication
User authentication is the first step for any journey. For your team, it can also cause frustration: the login and password changes for each service and it’s difficult to remember all of them.
In order to make it easier for everyone, we now provide a brand new authentication system and a way to integrate your enterprise’s login.
Active Directory / LDAP
Azure Active Directory
PingFederate
Azure Active Direct. Native
Google G suite
ADFS
SAML
Open ID Connect
Build a powerful knowledge graph
The functional capabilities of the platform allow you to build a powerful knowledge graph. Using machine learning algorithms, Zeenea provides a common structure and interface for all your information and enables the creation of relationships across the platform.
Metadata Registry
Used by your Data Stewards to collect, manage and publish your metadata for the data consumers.
Team & People
Managed from the platform or imported from your LDAP repository, your users and teams are attached to roles, assets, projects and other uses.
Business Glossary
Create or import business repositories used to communicate and govern the enterprise’s business terms, as well as the associated definitions and relationships between these terms.
Search Engine
The platform indexes all collected metadata to facilitate asset searches and data discovery.
Data Lineage
Specify the origin of the data and its evolution over time. Lineage also describes what happens to the data as it goes through various processes.
What is a knowledge graph?

Learn more about Metadata Management

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