Denodo’s DeepQuery Takes Generative AI Beyond Basic Facts to Advanced Data Analysis

Palo Alto, Calif. – Denodo, a leader in data virtualization and metadata management, has unveiled DeepQuery, a new AI-powered tool designed to move beyond simple fact retrieval and enable complex, multi-source data analysis with generative AI. Currently in private preview, DeepQuery will soon be part of the Denodo AI SDK, offering users deeper insights into why trends occur—not just what happened.

Beyond Basic AI Queries: The Need for Deep Analysis

Over the past two years, many data management vendors have introduced natural language querying—allowing users to ask questions of their data without SQL. However, most tools stop at surface-level answers, providing summaries or basic facts rather than explaining causality or recommending next steps.

Pablo Alvarez, Denodo’s VP of Product Management, explains:

“Existing GenAI tools help users get quick answers, but decision-makers need more—they need to understand why something happened and what to do next. DeepQuery is built for exactly that.”

How DeepQuery Works

Unlike traditional retrieval-augmented generation (RAG) systems—which retrieve and rephrase existing data—DeepQuery:
✅ Pulls real-time data from multiple internal and external sources (e.g., ERP, CRM, market data).
✅ Performs multi-hop reasoning to uncover hidden patterns (e.g., “Why did Q2 2025 sales drop vs. Q2 2024?”).
✅ Delivers explainable insights with AI-generated narratives, not just raw numbers.

Michael Ni, Analyst at Constellation Research, notes:

“Denodo’s virtualization strength allows it to synthesize and reason across all governed enterprise data in real time—a unique advantage over BI tools and public LLMs.”

Competitive Edge in a Fast-Moving Market

While DeepQuery could differentiate Denodo from rivals like AtScale, Datameer, and Snowflake, analysts caution that AI innovation moves quickly.

William McKnight, President of McKnight Consulting Group, suggests:

“To stay ahead, Denodo should explore agentic AI—automating data integration, improving governance, and enabling predictive analytics.”

The Road Ahead: AI Governance & Decision Orchestration

Denodo is also embracing Model Context Protocol (MCP), an open standard for LLM-data interactions (joining Databricks and Snowflake). Future focus areas include:
🔹 AI governance & security
🔹 Semantic consistency across hybrid data
🔹 Expanding into AI-driven decision orchestration

Alvarez emphasizes:

“High-impact decisions require analyzing data across systems, apps, and third-party sources—not just in isolated lakehouses.”

The Bottom Line

DeepQuery marks a shift from passive AI assistants to active analytical partners. If Denodo continues evolving—integrating agentic workflows and predictive analytics—it could cement its role as a next-gen data intelligence layer.

Now in private preview, DeepQuery is set to redefine how enterprises extract value from their data. Will your organization be ready?

Key Takeaways:
✔ DeepQuery goes beyond fact retrieval to deliver causal insights & recommendations.
✔ Real-time, multi-source analysis sets it apart from traditional BI and RAG systems.
✔ Future-proofing requires deeper AI integration—agentic automation, predictive analytics, and governance.