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Collibra

by Collibra · Since 2008
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Active1+ countriesCloud
Quick facts
VendorCollibra
Year launched2008
StatusActive
LocationUS HQ 61 Broadway, 31 FL, New York, New York 10006, USA
Countries served1+
Languages9
Integrations
Free tier
Free trial
Contact salesYES

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 by Collibra is a premier data intelligence platform designed to empower organizations with robust tools for data governance, cataloging, and quality management. With a clear focus on helping businesses unlock the full potential of their data, Collibra offers a unified platform that combines advanced functionalities such as data lineage tracking, data cataloging, and quality monitoring with a strong governance framework. This combination enables organizations to ensure data transparency, integrity, and compliance, while also facilitating the discovery and management of data assets. Its widespread adoption across industries like finance, healthcare, and technology reflects its reputation as a reliable and effective solution for modern data challenges. One of the key strengths of Collibra lies in its user-friendly interface. The platform’s dashboard is thoughtfully designed, offering a clean and organized layout that simplifies navigation. Customizable workflows and drag-and-drop features are particularly beneficial, as they make it easy for both technical and non-technical users to manage data efficiently. This emphasis on usability ensures that organizations can onboard diverse teams onto the platform without extensive training.

Pros & Cons

What users like
  • +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.
What users flag
  • 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.

Features

Key features

1. Data Discovery and Search
Enables users to easily find and access the data they need.
2. Data Governance
Provides tools to manage data quality, lineage, and security policies.
3. Data Catalog
Creates a centralized repository of data assets, their definitions, and their relationships.
4. Data Lineage
Tracks the origin and transformation of data across systems.
5. Data Quality
Monitors and improves data accuracy and completeness.
6. Data Privacy
Helps organizations comply with data privacy regulations (e.g., GDPR, CCPA).
7. AI and Machine Learning Integration
Leverages AI to automate data tasks and gain insights.

Additional features

1. Data Profiling
Analyzes data to understand its characteristics, including data types, distributions, and missing values.
2. Data Integration
Connects to various data sources, including databases, data warehouses, and cloud applications.
3. Data Masking and Anonymization
Protects sensitive data by obscuring or removing identifying information.
4. Data Monitoring
Tracks data changes and alerts users to potential issues.
5. Data Collaboration
Facilitates collaboration among data teams and stakeholders.
6. Business Glossary
Defines and manages a shared understanding of business terms and concepts.
7. Metadata Management
Manages metadata about data, such as its source, format, and usage.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

1
Countries served
9
Interface languages
12
Billing currencies

Available in

All Countries.

Interface languages

EnglishFrenchGermanSpanishDutchItalianPortugueseJapaneseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇮🇳INR🇷🇺RUB🇸🇬SGD🇸🇪SEK

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