Data Intelligence Cloud

Basic Information

Collibra Data Intelligence Cloud is an end-to-end integrated platform designed to automate data workflows, provide visibility into data ecosystems, ensure security, and deliver trusted insights.

• Model: Collibra Data Intelligence Cloud
• Version: The platform undergoes continuous updates and enhancements. A significant release occurred in October 2025, introducing innovations for AI-powered governance, semantic layer creation, data contracts, and unstructured AI.
• Release Date: Launched on June 23, 2020.
• Minimum Requirements: For the cloud-native platform, client-side requirements are minimal, typically requiring a modern web browser. For on-premise components like Collibra Edge, a Linux server with x86_64 architecture is required.
• Supported Operating Systems: The primary platform is accessed via web browsers. For Collibra Edge components, Red Hat Enterprise Linux (RHEL) versions 8.8 or later (8.x) and 9.3 or later (9.x) are supported. Mobile applications are available for Android and iOS.
• Latest Stable Version: As a continuously updated SaaS platform, the latest stable version incorporates the most recent features and improvements, with the most recent major feature update noted in October 2025.
• End of Support Date: Not applicable; as a Software-as-a-Service (SaaS) offering, Collibra Data Intelligence Cloud receives continuous updates and ongoing support.
• End of Life Date: Not applicable for a continuously updated SaaS product.
• Auto-update Expiration Date: Not applicable for a continuously updated SaaS product.
• License Type: Subscription-based, SaaS model.
• Deployment Model: Cloud-native platform, primarily deployed as a Software-as-a-Service (SaaS) solution managed by Collibra on leading public cloud platforms including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. It supports multi-cloud deployments and hybrid environments with on-premise components like Collibra Edge.

Technical Requirements

Collibra Data Intelligence Cloud operates predominantly as a cloud-native SaaS platform, abstracting most technical infrastructure requirements from the end-user. However, certain components, such as Collibra Edge, necessitate specific on-premise resources.

• RAM: For Collibra Edge, scalable virtual machine resources are recommended, including higher RAM configurations (e.g., 32 GB or more) for heavyweight Spark processing.
• Processor: For Collibra Edge, a Linux server with x86_64 architecture is required. Specific core counts are scalable based on workload, with vertical scaling options for virtual machines.
• Storage: For Collibra Edge, storage is provisioned as part of the Linux server environment. Integrated cloud storage on Google Cloud Storage or Amazon S3 is used for environment backups for new customers.
• Display: Standard display for web browser access.
• Ports: Network requirements for Collibra Edge include specific port configurations for communication with the Collibra Cloud and data sources. IPv6 support is available for allowlists.
• Operating System: For Collibra Edge, Red Hat Enterprise Linux (RHEL) versions 8.8 or later (8.x) and 9.3 or later (9.x) are supported.

Analysis of Technical Requirements

The platform's cloud-native architecture significantly offloads the burden of infrastructure management from the user, providing scalability and agility. For hybrid deployments, the Collibra Edge component requires a robust Linux environment, allowing for local data processing and secure metadata extraction while integrating with the cloud platform. This design enables organizations to leverage cloud benefits while maintaining control over sensitive data locally.

Support & Compatibility

Collibra Data Intelligence Cloud offers extensive compatibility and continuous support as a SaaS solution.

• Latest Version: The platform is continuously updated, with the latest innovations released in October 2025.
• OS Support: The main platform is browser-agnostic. Collibra Edge supports Red Hat Enterprise Linux (RHEL) 8.8+ or 9.3+. Mobile apps are available for Android and iOS.
• End of Support Date: Continuous support is provided as part of the SaaS subscription model.
• Localization: Collibra operates globally with offices in multiple countries, suggesting support for various regional requirements and languages.
• Available Drivers/Connectors: Supports connectivity to over 40 diverse databases and file systems. Provides enhanced support for popular business intelligence (BI) and extract, transform, and load (ETL) tools. New connectors include Workday. Integrations are available for cloud data sources like Snowflake, Azure Data Factory, and Google Cloud Storage.

Analysis of Overall Support & Compatibility Status

Collibra Data Intelligence Cloud demonstrates strong compatibility with a wide array of data sources, BI tools, and cloud platforms, crucial for enterprise data ecosystems. Its SaaS delivery model ensures continuous updates and ongoing support, providing users with the latest features and security enhancements without manual intervention. The global presence and extensive partner network further bolster its support capabilities.

Security Status

Collibra Data Intelligence Cloud is built with a strong focus on enterprise-grade security and compliance.

• Security Features: The platform is cloud-native and secure, featuring a microservices architecture, edge computing for secure metadata extraction, data encryption, role-based access control, and audit logging. It includes auto-validation capabilities for data quality to protect sensitive data and reduce risk. Collibra Protect provides intelligent data controls for discovery, definition, and protection of data across cloud platforms.
• Known Vulnerabilities: Publicly available information does not highlight specific known vulnerabilities, which is typical for enterprise SaaS solutions that address security proactively.
• Blacklist Status: No information indicates any blacklist status.
• Certifications: Collibra has obtained multiple industry-leading compliance certifications, including SOC I and FedRAMP (specifically for AWS GovCloud).
• Encryption Support: Supports data encryption to protect sensitive information.
• Authentication Methods: Features a browser-based authentication process designed for faster and easier login using corporate credentials.
• General Recommendations: Employs robust security measures including role-based access control, audit logging, and continuous monitoring of cloud resources. Organizations are advised to define allowlists for network access.

Analysis on the Overall Security Rating

Collibra Data Intelligence Cloud maintains a robust security posture, leveraging a secure cloud-native architecture, encryption, and granular access controls. The availability of certifications like SOC I and FedRAMP underscores its commitment to meeting stringent enterprise and government security standards. Continuous monitoring and features like Collibra Protect enhance data protection and compliance across diverse cloud environments.

Performance & Benchmarks

Collibra Data Intelligence Cloud is engineered for high performance and scalability in complex data environments.

• Benchmark Scores: While specific technical benchmark scores (e.g., CPU, I/O) are not publicly detailed, the platform is designed for cloud performance optimization to scale resources on-demand. Business-oriented metrics indicate a 484% three-year ROI and 28% higher productivity for data governance teams.
• Real-world Performance Metrics: Utilizes a microservices architecture and edge computing to enhance scalability, resource efficiency, and responsive analysis. Performance monitoring includes memory usage, CPU utilization, disk usage, network usage, average throughput (requests per minute), and average response times. The cloud offering for Data Quality & Observability brings scalability and agility to data quality operations across multiple clouds.
• Power Consumption: Not directly applicable to end-users as it is a cloud-based service, with power consumption managed by the underlying cloud providers (AWS, GCP, Azure).
• Carbon Footprint: Not directly applicable to end-users as it is a cloud-based service, with environmental impact managed by the underlying cloud providers.
• Comparison with Similar Assets: Users report Collibra excels in Data Lineage and Product Direction compared to Informatica Data Quality and Governance Cloud. In comparison to Google Cloud Data Catalog, Collibra shows strength in Data Transformation, while Google Cloud Data Catalog leads in Metadata Management and Data Quality Management.

Analysis of the Overall Performance Status

Collibra Data Intelligence Cloud is built for enterprise-scale performance, emphasizing scalability, agility, and efficient resource utilization through its cloud-native and microservices architecture. The platform's ability to handle large volumes of data and automate workflows contributes to improved productivity and faster data-driven outcomes. Continuous performance monitoring ensures optimal operation and rapid response to potential issues.

User Reviews & Feedback

User feedback highlights Collibra Data Intelligence Cloud's comprehensive capabilities and its role in enterprise data management, alongside areas for improvement.

• Strengths: Users praise its comprehensive feature set, unifying data catalog, governance, lineage, quality, and AI governance into a single platform. The intuitive user interface and customizable workflows are frequently cited positives, enabling easier implementation and alignment between business and IT teams. Strong data lineage capabilities, centralized data governance, and a robust business glossary are highly valued for improving data discovery, trust, and compliance. The platform's flexibility and scalability are also noted as key benefits.
• Weaknesses: A common theme is the steep learning curve and initial configuration complexity, particularly for users without prior data management experience or in highly heterogeneous environments. High licensing and implementation costs, along with a perceived dependence on specialized consulting, are also mentioned. Some users find the search functionality weak or frustrating and desire improved community interactions. Occasional bugs with new releases and challenging terminology are also reported.
• Recommended Use Cases: Collibra is recommended for organizations facing complex data challenges, particularly those needing robust data governance, data cataloging, data quality, data lineage, data privacy, and AI governance. It is ideal for accelerating data-driven outcomes, ensuring regulatory compliance, and managing hybrid data ecosystems.

Summary

Collibra Data Intelligence Cloud stands as a leading, comprehensive, and cloud-native platform for enterprise data intelligence. Launched in June 2020, it continuously evolves with significant updates, such as the October 2025 release, which enhances AI-powered governance and data management capabilities. The platform unifies data cataloging, governance, lineage, quality, and AI governance, providing a single system of engagement for trusted data across an organization.

Its architecture is built for scalability and agility, leveraging microservices and edge computing on major public clouds (AWS, GCP, Azure), while supporting hybrid deployments with on-premise components like Collibra Edge. This design offloads most technical requirements from end-users, though Edge components require specific Linux environments. Compatibility is a strong suit, with extensive connectors for diverse data sources, BI tools, and cloud platforms.

Security is robust, featuring a secure cloud-native foundation, data encryption, role-based access control, audit logging, and certifications like SOC I and FedRAMP. Performance is optimized for cloud environments, with continuous monitoring ensuring efficient resource utilization and responsive data access.

User feedback highlights its strengths in providing a unified, flexible, and scalable solution for data governance, lineage, and discovery. However, users also point to a steep learning curve, high costs, and initial configuration complexity as potential challenges. Collibra is best suited for large enterprises with complex data landscapes that require a sophisticated, integrated platform to achieve comprehensive data intelligence, ensure compliance, and accelerate data-driven initiatives.

The information provided is based on publicly available data and may vary depending on specific device configurations. For up-to-date information, please consult official manufacturer resources.