Cloudera Named a Leader in IDC MarketScape’s Sovereign AI Platform Assessment
TECHWORLD ·
✦ AI Summary
Cloudera announced on the 28th that it had been named a leader in the Asia/Pacific sovereign AI platform category in IDC MarketScape: Asia/Pacific Sovereign AI Platform 2026 Vendor Assessment.
IDC praised Cloudera’s ability to operate data and AI workloads across private, hybrid, edge, and air-gapped environments, along with its integration of security and governance.
Cloudera introduced data access, governance, and deployment frameworks, hybrid data management, and Cloudera Anywhere Cloud, which supports running a sovereign AI stack within a customer’s own cloud account.
Cloudera announced on the 28th that it had been named a leader in the Asia/Pacific sovereign AI platform category in IDC MarketScape: Asia/Pacific Sovereign AI Platform 2026 Vendor Assessment.
In the assessment, Cloudera was recognized for its ability to operate data and AI workloads across private, hybrid, edge, and air-gapped environments. Its integration of security and governance was also cited as a strength.
IDC said Cloudera has the capabilities to support the secure operation of sovereign AI workloads across diverse data environments. It also assessed the company as capable of providing data access, governance, and deployment frameworks.
Demand for AI adoption is growing across the Asia-Pacific region. That is because the need to respond to country-specific data privacy, data residency, and regulatory compliance requirements is increasing.
According to a Cloudera survey, about 92% of companies in Asia-Pacific said they had experienced delays or cancellations of AI projects due to data governance and regulatory compliance issues.
The same survey found that 63% of respondents had moved AI workloads to private cloud or on-premises environments to secure greater control over data. This shows that the scope of sovereign AI is expanding beyond model selection to include where data is stored, who can access it, and how operating environments are managed.
Cloudera supports sovereign AI environments based on its hybrid data management capabilities. Its support structure combines real-time data processing, an open data lakehouse, enterprise AI tools, and an integrated data fabric. It also applies security and governance across data assets.
Cloudera has integrated access control and data lineage management functions. It uses Apache Ranger for access control and provides data lineage management based on Apache Atlas. Cloudera Data Lineage automatically collects metadata, enabling tracking from data sources to deployed models.
This structure allows enterprises to verify where data is created and how it is processed, and it helps them respond to audits and regulatory compliance. It also supports AI deployment architectures that do not move sensitive data outside the organization and allows AI to be deployed directly into governed environments. On that basis, it emphasizes operating AI while maintaining data control and regulatory compliance, as well as flexibility in deployment environments.
In addition, AI models built in one environment can be moved to another environment and used without recoding. Target environments include air-gapped data centers and edge environments such as Jetson boards.
Cloudera highlighted its open architecture, which does not lock customers into specific hardware and infrastructure vendors. It also said it contributes to more than 50 Apache open-source projects, operates about 2,000 active partner accounts, and runs direct service operations in 9 Asia-Pacific countries.
Recently, it launched Cloudera Anywhere Cloud. The offering is designed to expand sovereign AI support and allows customers to run a sovereign AI stack directly within their own cloud accounts. This enables customers to operate AI services while retaining control over their data and models.
As generative AI and agentic AI adoption expands among companies in Asia-Pacific, corporate attention is shifting from AI adoption itself to the importance of governance and sovereignty related to data and model lineage. Deepika Giri, vice president for AI platforms and advisory at IDC Asia-Pacific, said in this regard that the importance of governance and sovereignty related to data and model lineage is growing.
Deepika Giri said platforms that provide flexible deployment and audit capabilities for private, hybrid, and edge environments are needed, and that such platform functions provide the control required for AI expansion in regulated industries. Remus Lim, senior vice president for Asia-Pacific and Japan at Cloudera, said Asia-Pacific companies are focusing more on meeting sovereign governance standards and generating real business outcomes than on AI adoption itself, and that Cloudera plans to support AI operations on a foundation that maintains data control and regulatory compliance across cloud, edge, and on-premises environments.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407409
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Source: TECHWORLD
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