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About Collibra

Collibra is a data intelligence software platform from Collibra that helps organizations manage their data assets effectively. It combines data governance, data cataloging, and data quality features to support compliance and informed decision-making. By facilitating data discovery, lineage tracking, and collaboration, it aids organizations in maximizing the value of their data. Collibra ensures users can easily access and understand their data landscape, fostering a data-driven culture within enterprises. Key capabilities: data governance data cataloging data quality data lineage collaboration Best for: data professionals and organizations that need to manage and utilize their data assets effectively.

Collibra Details

Vendor
Collibra
Year Launched
2008
Location
US HQ 61 Broadway, 31 FL, New York, New York 10006, USA
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
English, French, German, Spanish, Dutch, Italian, Portuguese, Japanese, Chinese
Users
Large enterprises, Financial institutions, Healthcare organizations, Government agencies
Industries Served
Financial Services, Healthcare, Insurance, Public Sector, Energy and Utilities, Life Sciences
Tags
Data Governance, Data Catalog, Data Lineage, Data Privacy, Data Quality

Collibra's In-App Market Place

Does Collibra have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (Fr), Cny (¥), Inr (₹), Rub (₽), Sgd (S$), Sek (kr)

Pros & Cons

  • Comprehensive Data Governance: Provides a centralized platform for managing data assets, including definitions, ownership, lineage, and relationships.
  • Data Intelligence: Enables organizations to unlock the value of their data through collaboration and built-in workflows.
  • Data Catalog: Offers a comprehensive view of the organization's data assets.
  • Automation: Automates data governance processes, reducing human intervention and increasing efficiency.
  • Scalability: Can scale to handle large volumes of data and complex data environments.
  • Integration: Integrates with cloud storage services and data lakes.
  • Security: Provides tools for securing sensitive data.
  • Complexity: Can be complex to learn and use, especially for new users.
  • Limited Monitoring: Lacks robust monitoring capabilities and reporting tools.
  • Implementation Costs: High implementation costs and complex implementation process.
  • Customer Service: Customer service is allocated based on total quoted cost.
  • User Interface: User interface could be improved for better usability.

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