Denodo Platform 9.3 boosts AI data tasks with DeepQuery

Denodo has released version 9.3 of its data management platform, which introduces new features targeting artificial intelligence (AI) workloads and expands its support for complex, real-time data tasks.

The Denodo Platform 9.3 aims to address operational AI scenarios such as autonomous AI agents and chatbots that require instant access to large amounts of live data while maintaining high standards of security, compliance, and cost efficiency. These enhancements integrate feedback from existing AI customers and are positioned as a response to market demand for robust data infrastructures capable of supporting rapidly evolving AI solutions.

Platform features

One of the key additions in this release is Denodo DeepQuery, described as a deep research capability intended to help organisations answer complex, analytical questions by generating fully explained reasoning, rather than simply retrieving facts. This tool is now generally available and supports multi-step, context-aware data queries, further extending the platform's capabilities in delivering business insights.

The release also includes several enhancements to data management functions. Materialised views and data caches in Denodo Platform 9.3 are now resilient to schema changes, allowing for agile data-product change management. This capability is especially relevant in dynamic environments where AI applications iterate frequently and underlying data structures are constantly updated. The feature also facilitates more efficient updates to data lakehouses, ensuring that data remains suitable for AI consumption.

Dynamic access controls allow real-time lookups of data-access policies, which is vital for environments where data privacy and security rules evolve on a regular basis. The platform now also augments its ability to generate and update business context automatically via the Denodo Assistant, which tags business metadata and creates embeddings in a vector database. This automated process is geared towards keeping data AI-ready as business context changes over time.

For organisations using a Databricks lakehouse data architecture, Denodo Platform 9.3 introduces the ability for AI agents and other applications to write back to Iceberg tables managed by Databricks Unity. This is intended to provide better performance and compatibility in fast-changing Databricks environments.

These updates build on the business-user self-service experience that was introduced in the previous 9.2 release of the Denodo Platform. The platform is described as providing a data foundation that addresses the real-time, business-contextual needs of both human users and AI applications.

Industry perspectives

"Denodo is gaining momentum in the AI-powered data management space, to keep pace with rapid changes. Organisations 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" said Alberto Pan, chief technology officer (CTO) at Denodo. 

DeepQuery, which is now accessible in open-source form under an Apache licence, leverages Denodo's semantic layer and AI SDK to dynamically determine required data, fetch it in real time, and coordinate retrieval and reasoning workflows. According to Denodo, this structure allows AI agents to refine questions and logic through iteration, ultimately providing answers that are more relevant and contextually rich. DeepQuery is also designed to ensure that AI-driven queries remain consistent with enterprise security and governance requirements.

Early industry responses have highlighted the value of these features. Shivaji Basu, chief AI officer at Sigmasoft, a Denodo partner, said:

"At Sigmasoft, we've been closely watching Denodo's innovation in enterprise AI - including Denodo DeepQuery's deep-research capabilities. With its general availability, we're excited to collaborate and help clients unlock explainable, cross-system business insights at enterprise scale. This is the kind of AI maturity that empowers decision-makers with both speed and confidence."

The company points to successful engagements with partners and customers utilising its platform as evidence that AI solutions can be made practical, well-governed, and effective at an enterprise scale.