AI TOOL PROFILE
Collibra Data Intelligence Cloud
- Data and Analytics
- Data Management
- Enterprise Companies
- Mid-Market Companies
- Regulated Organizations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise Companies, Mid-Market Companies, Regulated Organizations
- Key use cases
- Scaling AI Production, Regulatory Compliance, Unstructured Data Governance, Data Product Management
- Integrations
- Snowflake, Databricks, Google BigQuery, Okta, Microsoft Entra ID
- Official website
- Visit Collibra Data Intelligence Cloud official website
How AI is used
Collibra is a data intelligence platform designed as a system of engagement for an organization's data assets. It integrates a data catalog with governance, lineage, and quality monitoring to help teams locate and trust their information.
The software is intended for enterprise and mid-market companies, particularly those in regulated industries such as financial services, healthcare, and the public sector. It supports the management of data and AI model lifecycles from discovery to production.
Key capabilities include tools for transforming unstructured data for AI use, tracking data flow through technical lineage, and managing access controls. The platform also includes AI governance features, such as a model registry and trust scores, to help organizations move AI projects from pilot stages to production.
Buyers should confirm if their technical infrastructure aligns with Collibra's integration options and evaluate whether the feature set matches their governance maturity level.
Key Features
Data Catalog
Supports data discovery and understanding to help teams access data assets across the organization.
AI Governance
Includes an AI model registry, trust scores, and agent governance to monitor AI use cases.
Data Lineage
Visualizes how data flows and transforms across the data landscape to provide traceability.
Data Quality & Observability
Monitors data health and validates quality using no-code and self-service rules.
Data Access Management
Centralizes masking, filtering, and access controls across supported data sources.
Deasy Labs
Designed to transform unstructured data, such as PDFs and emails, into governed assets for AI workflows.
Use Cases
Scaling AI Production
Supporting the transition of AI models from pilot to production using governance and trust scores.
Regulatory Compliance
Helping organizations manage data risks for regulations such as BCBS 239 and Solvency II.
Unstructured Data Governance
Mapping and enriching unstructured files to create AI-ready knowledge assets.
Data Product Management
Governing data assets as products to help improve discoverability and internal usage.
Integrations
- Snowflake
- Databricks
- Google BigQuery
- Okta
- Microsoft Entra ID
- Microsoft Teams
- Slack
- AWS Glue
- Apache AirFlow
- Azure AI Foundry
FAQ
What is the primary purpose of Collibra?
- Collibra is designed as a system of engagement for data and AI, providing tools for cataloging, governance, lineage, and quality monitoring.
How does Collibra support AI initiatives?
- It provides an AI model registry, trust scores, and automated traceability to help organizations move AI from pilot to production.
Who is this software best suited for?
- It is designed for mid-market and enterprise companies, particularly those in regulated sectors like finance and healthcare.
Source category: Data & Analytics
Source subcategory: Data Management
More tools in Data & Analytics
Other published listings in the Data & Analytics category.
More tools in the Data Management software type
Related listings that share the same software type for comparison and shortlisting.
