Datasoul

Datasoul

Datasoul is a data catalog and metadata management software that allows organizations to discover, organize, and share data assets. It provides features like automated metadata and schema extraction, data lineage tracking, collaboration tools, and customizable tagging.
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data-catalog metadata-management data-discovery data-organization data-sharing metadata-extraction data-lineage collaboration tagging

Datasoul: Data Catalog and Metadata Management

Discover, organize, and share data assets with Datasoul, a comprehensive data catalog and metadata management software featuring automated metadata extraction, data lineage tracking, collaboration tools, and customizable tagging.

What is Datasoul?

Datasoul is a software solution designed for managing data as an enterprise asset. It serves as a centralized data catalog and metadata repository that allows organizations to easily find, understand, and control their data.

Key capabilities of Datasoul include:

  • Automated discovery and cataloging of data sources across the organization
  • Intelligent metadata extraction and profiling of data sets
  • Customizable tagging, glossary, and taxonomy creation
  • Data lineage tracking to understand upstream sources and transformation logic
  • Collaboration features like comments, ratings, and access controls
  • Customizable dashboards and reporting for stakeholder transparency
  • Role-based access control and security frameworks
  • Open architecture supporting integration with other data systems

By providing a single source of truth for enterprise data, Datasoul enables companies to maximize the value of their data assets. It helps break down data silos, promotes trust in data via governance, reduces analytics cycle times, and ensures compliance with regulations regarding data privacy and security.

Datasoul Features

Features

  1. Automated metadata and schema extraction
  2. Data lineage tracking
  3. Collaboration tools
  4. Customizable tagging

Pricing

  • Subscription-Based

Pros

Helps discover, organize and share data assets

Improves data governance

Enables self-service access to data

Scalable to handle large data environments

Cons

Can be complex to implement and customize

Limited support for unstructured data

Integration with other systems may require development work


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