Invantive Data Hub

Invantive Data Hub

Invantive Data Hub is a data virtualization and data governance platform that provides integrated access to distributed data sources. It allows combining data from multiple systems into a single virtual data layer, enabling unified data access and governance across the organizati
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data-virtualization data-governance data-access data-integration

Invantive Data Hub: Integrated Access to Distributed Data Sources

A data virtualization and data governance platform providing a single virtual data layer for unified access and governance across multiple systems.

What is Invantive Data Hub?

Invantive Data Hub is a powerful data virtualization and data governance platform. It provides a single access point to distribute data sources across the enterprise, including databases, applications, cloud services, and more. The software creates a unified virtual data layer that abstracts the technical complexities of integrating disparate systems.

Key features and benefits of Invantive Data Hub include:

  • Connecting to over 240 data sources, both on-premises and in the cloud
  • Building virtual data models that combine and transform data from multiple sources
  • Providing integrated views and self-service access to distributed data via SQL or web front-end
  • Applying centralized data security, access control, and governance policies
  • Accelerating development with reusable virtual models and templates
  • Detailed audit logging and data lineage tracking
  • High performance in-memory engine for analytics and machine learning

With robust data abstraction, transformation and governance capabilities, Invantive Data Hub enables unifying access to distributed data at scale. It serves as a flexible integration platform for advanced data usage across the enterprise.

Invantive Data Hub Features

Features

  1. Data virtualization and federation
  2. Unified semantic data layer
  3. Support for 150+ data sources
  4. Self-service data access and governance
  5. Data lineage and impact analysis
  6. Data quality management
  7. Master data management
  8. Data catalog and metadata management
  9. Embedded business glossary
  10. Role-based access control
  11. Support for cloud and on-prem sources

Pricing

  • Subscription-Based

Pros

Unified access to distributed data

Improved data governance

Faster access to integrated data

Reduced data duplication

Single source of truth

Increased data transparency

Cons

Complex implementation

Steep learning curve

Dependency on centralized platform

Limited capabilities for unstructured data


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