Cloudera Enhances Metadata Management with Updated Data Catalog and Iceberg REST Integration

Cloudera, a leading hybrid platform for data, analytics, and AI, has announced significant updates to its metadata management solutions. These enhancements improve interoperability within the open data lakehouse framework and address the rising needs for data security and governance throughout the data lifecycle.

As businesses increase their investments in generative AI, effective and flexible metadata management becomes crucial for ensuring data quality and regulatory compliance. To achieve better, scalable results, enterprises require a unified and secure platform that can maximize the benefits of metadata management.

Cloudera remains the preferred platform for data, analytics, and AI at scale across various industries, offering a comprehensive open data lakehouse that supports integration and interoperability in any ecosystem. The latest updates include:

– **Iceberg REST Catalog Integration**: This new feature allows seamless access to Apache Iceberg tables via third-party engines. It ensures consistent security and governance while simplifying data access and maintaining permissions and lineage across different platforms. This reduces costs and minimizes data breach risks by consolidating security layers.

– **Shared Data Experience (SDX)**: Now available in technical preview, this cloud-native, containerized experience offers unified data security, governance, and metadata management. Enhanced for greater flexibility, scalability, and performance, SDX provides self-service data access, consolidates security functions, and supports unified management across both cloud and on-premises environments.

These updates not only improve data security and lineage but also enhance performance, scalability, and resilience while lowering the total cost of ownership (TCO) by optimizing metadata management. The updates also facilitate metadata sharing without duplication and support third-party tools without vendor lock-in.

Industry analyst Sanjeev Mohan commented, “Organizations are seeking a unified approach to access and govern all data assets—whether structured or unstructured, on-premises or multi-cloud, and across batch or streaming formats. A modernized data catalog that integrates Iceberg REST APIs and offers fine-grained access control can meet these needs effectively.”

Dipto Chakravarty, Cloudera’s Chief Product Officer, added, “Unified data and interoperability remain central to Cloudera’s open data lakehouse architecture across hybrid clouds. Our platform provides exceptional scalability, performance, resilience, and cost-efficiency for managing expanding metadata, avoiding vendor lock-in and data silos. By adhering to open standards, we ensure seamless integration and interoperability, enabling enterprises to maximize their AI investments.”

Cloudera will showcase these updates at the EVOLVE24 event in Singapore, scheduled for August 6-7 at the Sands Expo & Convention Center. Attendees will have the opportunity to discuss Cloudera’s hybrid open data lakehouse and its impact on analytics and AI with onsite experts.

Mayank Baid, Regional Vice President for India at Cloudera, noted, “With the rapid adoption of Generative AI and its potential to significantly impact India’s economy by 2030, Cloudera is dedicated to advancing enterprise AI for clients in India and beyond. Our latest solutions enhance security, governance, and metadata management across all environments, improving performance and scalability while reducing TCO, making data more accessible and secure for our customers.”