Denodo
Denodo Platform is a logical data layer that unifies, governs, and delivers live enterprise data without copying. It provides a semantic layer, active context for AI agents, and cost-optimized acceleration across hybrid, multi-cloud, and on-prem environments.
Overview
Teams connect sources once, model business semantics, and publish governed views as reusable data products. Consumers query live data through the logical layer—without ETL—while policy controls, lineage, and workload-aware acceleration keep performance high and costs predictable across lakehouse, cloud, and on-prem systems.
Capabilities
Data platform leaders, enterprise architects, and analytics engineers who need a single control plane for disparate data estates. AI platform teams building agentic applications that require live, governed context. BI developers and data product owners who must deliver consistent semantics across tools. Regulated enterprises—financial services, healthcare, public sector, manufacturing—seeking centralized policy enforcement, lineage, and cross-border governance while accelerating lakehouse ROI and reducing integration backlog.
- Unifies disparate sources into one logical layer without duplicating or moving data.
- Applies centralized, fine-grained policies with masking, lineage, and jurisdiction-aware sovereignty.
- Optimizes performance via caching, cost-based planning, and embedded Presto MPP acceleration.
- Enables a governed data marketplace for natural-language discovery and self-service provisioning.
- Delivers AI-ready active context and SDKs to ground agents in current truth.
Why It Stands Out
Who It’s For
Start with a free Denodo Platform trial or launch Agora, the fully managed cloud service. Connect priority sources, register metadata, and model business entities to establish the semantic layer. Define policies, data masking, and jurisdictions centrally; delegate ownership where appropriate. Publish curated, reusable views to the data marketplace, then validate lineage and query plans. Enable acceleration via caching and the Lakehouse Accelerator for heavy joins. For AI use cases, integrate via the AI SDK and, where suitable, MCP-based access to deliver live, governed context to agents without re-ingesting data.
Active context with zero-copy delivery collapses pipelines, giving agents and analysts governed, live data at enterprise scale.
Getting Started
Denodo’s advantage is architectural: a zero-copy logical layer with a unified semantic model, centralized governance that travels with data, and built-in acceleration tuned for lakehouse economics. It reduces integration backlog, improves time-to-insight, and safely powers agentic AI with live context—without rebuilding pipelines or duplicating data.
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Denodo
Denodo Technologies pioneered data virtualization and now leads the AI data layer category. Its platform is deployed globally across highly regulated industries, emphasizing logical data management, governance, and performance. Denodo invests heavily in education, customer success, and a broad partner ecosystem, including cloud, lakehouse, and systems integrator alliances.
Denodo is an AI-ready logical data management platform that connects, governs, and virtualizes distributed data with zero-copy delivery. It creates a unified semantic layer across lakehouses, warehouses, SaaS apps, APIs, and streaming systems so analytics, applications, and agents consume the same trusted truth. Queries run against live sources and can be accelerated by intelligent caching, cost-based optimization, and the Lakehouse Accelerator—an embedded, Presto-based MPP engine—for significant performance and cost gains. Centralized governance applies fine-grained controls, de-identification, policy inheritance, and cross-border data sovereignty across hybrid and multi-cloud estates. A built-in data marketplace enables self-service discovery and reuse of governed, reusable data products, while lineage and observability keep teams in control. For AI, Denodo supplies active context and an SDK to ground agent decisions in current, business-semantics-aware data without brittle pipelines or re-ingestion.
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