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Platform enhancements, including the release of Denodo DeepQuery, solidify Denodo as a foundation for AI
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PALO ALTO, Calif., Sept. 16, 2025 (GLOBE NEWSWIRE) — Denodo, a leader in data management, announced further support for AI innovation with the availability of DeepQuery in Denodo Platform 9.3. DeepQuery is a Deep Research capability that extends beyond fact-based retrieval to tackle complex, analytical questions with detailed, fully explained reasoning.
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Denodo Platform Enhancements
The latest release of the Denodo Platform, 9.3, solidifies Denodo as a foundation for AI innovation. Many of today’s AI workloads are operational, involving such use cases as chatbots that can respond to prompts based on live data, and AI agents that take action autonomously and make real-time decisions in response to live situations. This requires bi-directional, real-time access to high volumes of live data from original sources, in an ever-expanding, distributed data landscape, while also protecting data consistent security and compliance measures and reducing costs. A recent MIT study found that 95% of AI projects are not delivering positive ROI, and a key reason is the inability for the AI to learn and correctly act in ever-changing operating environments due to the lack of a data infrastructure that can support such workloads. Denodo Platform 9.3 adds several new features that strengthen its foundation for operational AI. Key enhancements include:
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- Greater Agility for Materialized Views: Materialized views and data caches are now resilient to schema evolution, enabling developers to perform data-product change management with greater agility, to more effectively equip AI applications with the data they need. This is critical in environments where AI agents and applications are iterating quickly, and their underlying schemas and other metadata are constantly changing. This capability also accelerates incremental updates to data lakehouses, so lakehouse-resident data stays AI-ready.
- Dynamic Access Controls: These new controls enable on-demand lookups of data access policies, for much greater agility in dynamic, operational environments where privacy and security needs frequently change.
- Auto-Generation of Business Context: In keeping with the Denodo Platform’s emphasis on enriching AI with relevant business metadata, Denodo Assistant now auto-generates metadata tags and attributes that specify business context, and the latest release now automatically generates and updates metadata embeddings in a vector database (PGVector). This accelerates the adding of business context, which is necessary for making data AI-ready, and it will also enable faster iterations of business context as it evolves.
- Write-Back to Iceberg Tables through Databricks Unity: For organizations with a Databricks lakehouse-centric data architecture, Denodo now lets you build AI agents and other applications that can write back to Iceberg tables managed by Databricks Unity, for optimized performance in frequently-changing Databricks environments.
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Together with the Denodo Data Marketplace’s business-user self-service experience, introduced in Denodo Platform 9.2, Denodo now provides an unmatched enterprise data foundation that meets the real-time business-contextual needs of both people and AI applications.
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“Denodo is gaining momentum in the AI-powered data management space, to keep pace with rapid changes,” said Alberto Pan, chief technology officer (CTO) at Denodo. “Organizations need to navigate dynamic operational environments that cut across traditional network and storage boundaries, and the Denodo Platform provides a way to quickly accommodate these new fast-moving use cases around AI-ready and business-ready data, in this often volatile context.”
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Denodo Releases DeepQuery
Denodo DeepQuery, the multi-agent deep research capability that was pre-announced in July, is now generally available on GitHub. With DeepQuery, AI developers can run complex, multi-step, context-aware queries driven by open-ended questions, like uncovering the sources of churn or identifying the key drivers of customer loyalty across a variety of different systems. DeepQuery delivers explainable, real-time insights in minutes, which would normally take a skilled data analyst multiple days to produce.
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