Denodo Platform 9.5 helps Organizations turn Trusted Enterprise Context into Reusable Data Products for AI, Analytics, and Self-Service
Denodo Platform 9.5 advances how organizations define, manage, and deliver trusted enterprise context across distributed data environments. This release strengthens the Denodo Platform’s semantic foundation, expands the data marketplace, improves AI-assisted interactions, and extends connectivity across modern data and AI ecosystems.
As organizations scale analytics, self-service, GenAI, and agentic AI initiatives, they need more than access to distributed data. They need governed business meaning, trusted relationships, reusable data products, and efficient ways for users and AI systems to understand and act on enterprise data.
Key Highlights of Denodo Platform 9.5
Governed Metrics and KPIs for Trusted Analytics
Define, govern, and reuse business metrics directly in the Denodo semantic layer, helping teams reduce metric drift and improve trust across BI, analytics, data products, and AI-powered experiences.
Conversational Data View Development
Create and manage data views through an AI-assisted conversational experience that helps users refine requirements, resolve ambiguity, and accelerate data development directly within Denodo.
An Expanded Enterprise Knowledge Graph for Data Context
With the new Denodo Marketplace 360 Graph and asset extensions, Denodo 9.5 expands Denodo's enterprise knowledge graph to represent a broader set of data ecosystem objects and relationships, including glossaries, dictionaries, applications, notebooks, pipelines, governance controls, data sharing agreements, AI skills, and other related assets.
Expanded Connectivity for Modern Data and AI Ecosystems
Improve access across unstructured data, Databricks, Delta tables, Microsoft OneLake, Fabric Lakehouse, Iceberg, and other modern lakehouse environments, helping teams connect more of the enterprise data landscape to governed AI and analytics workflows.
These highlights represent some of the most important additions in Denodo Platform 9.5. The release also includes capabilities that help technical teams improve productivity, streamline development workflows, and extend governed data delivery across the enterprise.
Explore the Innovations Behind Denodo Platform 9.5
Governed Metrics and KPIs for Trusted Analytics
Business metrics such as revenue, profit, order count, customer value, or average net paid are often harder to manage than they appear. They depend on formulas, aggregations, filters, dimensions, relationships, and grouping context. When those definitions are recreated separately across reports, dashboards, SQL queries, and AI tools, teams can end up with inconsistent calculations and conflicting business results.
Denodo Platform 9.5 introduces Denodo Metric Views, a new semantic-layer object for defining, governing, and reusing business metrics and KPIs.
With Metric Views, data teams can define metrics once with the appropriate formulas, dimensions, relationships, filters, and documentation, then make them available through governed data products, the Denodo Data Marketplace, reporting tools, and AI-powered experiences.
Key Capabilities Include
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Define governed KPI and metric definitions in the Denodo semantic
layer.
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Manage formulas, valid dimensions, relationships, filters, and
documentation in one place.
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Reuse metrics across data products, BI tools, dashboards, and AI
interfaces.
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Enable business users to select approved metrics and dimensions
without manually building complex joins or aggregations.
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Allow Metric View results to be sent to the chatbot for visualization
and follow-up exploration.
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Help conversational data agents and AI assistants rely on governed
business definitions instead of inferring metric logic from raw fields
or incomplete metadata.
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Align with the industry movement toward open semantic
interoperability, including Denodo’s participation in emerging semantic
standards such as OSI.
Business Impact
Metric Views help organizations improve trust in analytics and AI by giving every team and tool a consistent, governed definition of critical business metrics. Business users get more consistent answers, data teams spend less time reconciling conflicting KPI logic, and AI assistants can rely on approved business definitions instead of inferring formulas from incomplete metadata.
Connecting Data to its Surrounding Business Context with Denodo Marketplace 360 Graph
Data products rarely exist in isolation. They are connected to pipelines, dashboards, applications, notebooks, business definitions, governance processes, downstream consumers, and data sharing agreements. When those relationships are not visible, users and agents lack the context needed to understand where data came from, how it is governed, who uses it, and what business meaning it carries.
Denodo Platform 9.5 extends the Denodo Data Marketplace beyond Denodo-managed assets to represent a broader set of enterprise data ecosystem assets and the relationships that interconnect them.
With the new Denodo Marketplace 360 Graph and asset extensions, organizations can define and manage additional asset types such as ETL processes, consuming applications, notebooks, business glossaries, data dictionaries, governance controls, data sharing agreements, AI skills, and other business or technical artifacts. Together with governed data products and new semantic elements such as Denodo Metric Views, these assets form a connected knowledge graph that represents the business, technical, governance, and usage context surrounding enterprise data. These assets can be enriched with metadata, ownership, custom properties, requests, and relationships, helping create a more complete, connected view of the enterprise data landscape.
Key Capabilities Include
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Represent a broader range of enterprise data ecosystem objects and
relationships in the Data Marketplace.
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Create a connected graph of the enterprise data landscape, showing
how data products relate to upstream processes, downstream consumers,
business definitions, and governance requirements.
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Support richer discovery, governance, impact analysis, and future
AI-powered reasoning.
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Connect data products to related assets such as applications,
notebooks, pipelines, glossaries, data dictionaries, governance
controls, data sharing agreements, and AI skills.
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Add metadata, ownership, custom properties, access requests, and
relationships to extended asset types.
Business Impact
Denodo Marketplace asset extensions give users a more complete view of enterprise data by showing how data products connect to the broader business and technical ecosystem. This relationship graph improves transparency, supports impact analysis, strengthens governance visibility, and gives users and future AI-powered experiences richer context for trusted data discovery and decision-making.
Conversational Data View Development
Creating trusted data views often requires developers to understand available metadata, determine the right sources and relationships, translate business requirements into technical logic, and refine queries through multiple iterations. This can slow down the delivery of governed data products, especially when requirements are ambiguous or metadata is difficult to interpret.
Denodo Platform 9.5 extends AI-assisted development with a conversational experience for creating and managing data views. This new capability focuses on helping data teams move faster through the data development lifecycle, from understanding requirements and exploring metadata to refining logic and improving the quality of generated views.
Key Capabilities Include
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Create and manage data views through an AI-assisted conversational
experience.
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Ask clarifying questions when user requests, metadata, filters, time
ranges, or expected outputs are unclear.
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Make AI-assisted data development available in the Denodo development
experience, including Design Studio.
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Support multi-step interactions that help refine requirements and
development intent.
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Help users resolve ambiguity before generating or refining data
views.
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Assist data teams in moving from business intent to governed data
views more efficiently.
Business Impact
Conversational data view development helps data teams deliver trusted data products faster while reducing manual effort and rework. By helping users clarify requirements, resolve ambiguity, and work more efficiently with metadata and data view logic, Denodo Platform 9.5 can improve developer productivity, accelerate self-service data product delivery, and create a stronger foundation for analytics, GenAI, and agentic AI initiatives.
Expanded Connectivity for Modern Data and AI Ecosystems
Modern AI and analytics initiatives depend on data that spans operational systems, lakehouses, cloud platforms, SaaS applications, unstructured sources, and open table formats. Denodo Platform 9.5 expands connectivity across this landscape, helping organizations bring more enterprise information into governed AI, analytics, and data-sharing workflows.
Improved Support for Unstructured Data
Denodo Platform 9.5 strengthens support for unstructured and semi-structured data by adding new connectivity with Databricks and Azure AI Search. This helps teams bring more enterprise knowledge into governed AI and analytics workflows, building on existing support for sources such as Snowflake, BigQuery, PGVector, Oracle, and SQL Server.
Denodo Platform 9.5 also supports vector search and indexes for more efficient semantic and document queries, helping users retrieve relevant information faster and improve the responsiveness of AI-powered discovery and retrieval experiences.
Enhanced Support for Open Lakehouse Ecosystems
Denodo Platform 9.5 improves support for modern lakehouse environments, including enhanced integration with Delta tables and Databricks, plus support for reading from Microsoft OneLake and Fabric Lakehouse through Denodo’s Lakehouse Accelerator.
Delta-related enhancements include support for Variant data types, reading Delta deletion vectors, and Delta column mapping. These capabilities help organizations query semi-structured data more efficiently, reflect lakehouse updates without full file rewrites, and manage schema evolution more flexibly.
Greater efficiency with Lakehouse Accelerator and Iceberg caching
Denodo Platform 9.5 also improves efficiency when using Denodo Lakehouse Accelerator with Iceberg as the caching mechanism. This helps improve performance while reducing maintenance tasks such as compaction, making it easier for organizations to scale lakehouse workloads with less operational overhead.
Business Impact
Expanded connectivity helps organizations connect more enterprise data to governed AI, analytics, and data-sharing workflows without adding unnecessary integration complexity. By improving support for unstructured content, Databricks, Azure AI Search, Delta tables, Microsoft OneLake, Fabric Lakehouse, Iceberg, and lakehouse acceleration, Denodo helps teams reduce integration friction, improve performance, and make trusted data more accessible across modern data ecosystems.
For a deeper technical overview of Denodo Platform 9.5, including additional updates and implementation details, visit the
Denodo Community