# Denodo Reviews **Vendor:** Denodo **Category:** [Data Fabric Software](https://www.g2.com/categories/data-fabric) **Average Rating:** 4.3/5.0 **Total Reviews:** 47 ## About Denodo Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers. ## Denodo Pros & Cons **What users like:** - Users value the **seamless integration and unified data access** provided by Denodo, enhancing their workflows significantly. (3 reviews) - Users praise Denodo for its **extensive built-in connectors** , enabling seamless integration and efficient data management across systems. (2 reviews) - Users value the **seamless data cataloging** in Denodo, enhancing data management and operational efficiency significantly. (2 reviews) - Users value the **seamless data integration** capabilities of Denodo, enhancing workflows and providing a unified data view. (2 reviews) - Users admire the **ease of use** of Denodo, praising its seamless setup and extensive built-in connectors. (2 reviews) - Users value the **excellent product support** and quick turnaround for enhancement requests, enhancing their overall experience. (2 reviews) - Users appreciate Denodo's **seamless integrations** , effectively unifying diverse data sources without moving the data physically. (2 reviews) - User Interface (2 reviews) - Users value Denodo for its **effective API integration** , enhancing data access and facilitating self-service development. (1 reviews) - Users value the **excellent support and rapid enhancement turnaround** of Denodo, enhancing self-service development for citizen developers. (1 reviews) **What users dislike:** - Users find Denodo to be **expensive** , making it less suitable for smaller companies and challenging to learn. (2 reviews) - Users report occasional **bug issues** with the Web Designer, which can disrupt their overall experience with Denodo. (1 reviews) - Users sometimes experience **bugs in the Web Designer** , which can hinder their overall experience with Denodo. (1 reviews) - Users find the **steep learning curve** of Denodo challenging, especially for smaller companies trying to adapt. (1 reviews) - Users find the **steep learning curve** of Denodo challenging, especially for smaller companies adapting to the platform. (1 reviews) - Learning Difficulty (1 reviews) - Users note the ongoing effort to improve **product immaturity** , particularly regarding usage history and metadata features. (1 reviews) ## Denodo Discussions - [What is Denodo used for?](https://www.g2.com/discussions/denodo-what-is-denodo-used-for) - [Is denodo a database?](https://www.g2.com/discussions/is-denodo-a-database) - [What is denodo data virtualization?](https://www.g2.com/discussions/what-is-denodo-data-virtualization) - [What is denodo tool?](https://www.g2.com/discussions/what-is-denodo-tool) - [What is denodo used for?](https://www.g2.com/discussions/what-is-denodo-used-for) - [View Denodo pricing details and edition comparison](https://www.g2.com/products/denodo/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-05-18+18%3A32%3A27+-0500&secure%5Bsession_id%5D=778b83ec-e5cd-426c-9eb7-13e6606fb15b&secure%5Btoken%5D=7e57ccdf8f316e05670b2788664fcb227b21d5a8b117344d8c658e95656a300f&format=llm_user) ## Denodo Integrations - [Infor LN](https://www.g2.com/products/infor-ln/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [SQL-RD SSRS Data Driven Automation](https://www.g2.com/products/sql-rd-ssrs-data-driven-automation/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) ## Denodo Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage **Administration** - Database Management - Access Control - Data Security **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Data Management** - Data Integration - Data Compression - Data Quality - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics **Deployment & Integration - Semantic Layer Tools** - Multi-Environment & Multi-Cloud Support - Open API & SDK Integration **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **Federation** - Architecture - Provisioning - Orchestration - API / Integrations **Analytics** - Data Analytics **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Data Connectivity & Federation - Semantic Layer Tools** - Cross-Source Query Federation - Dynamic Schema & Metadata Adaptation **Integrations** - Hadoop Integration - Spark Integration **Collaboration** - Commenting - Profiling and Classification - Business and Data Glossary - Metadata Management **Transformation** - Data Visualization - Application Performance - Data Modeling **Security** - Compliance - Governance - Data Protection **Deployment** - On-Premise - Cloud **Data Modeling & Metrics - Semantic Layer Tools** - Derived & Calculated Metrics - Time Intelligence Functions **Platform** - Machine Scaling - Data Preparation - Spark Integration **Artificial Intelligence** - Machine Learning Recommendations - Natural Language Query - Automatic Data Cleansing **Performance ** - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Performance Optimization - Semantic Layer Tools** - Query Caching & Acceleration - Adaptive Query Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Processing** - Cloud Processing - Workload Processing **Security** - Data Governance - Data Security **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Governance - Semantic Layer Tools** - AI Governance & Observability - Metric Lineage for AI Training Data - Version Control & Change Impact Analysis **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Advanced Intelligence - Semantic Layer Tools** - Natural Language Query Interface - Semantic Layer for AI/ML Models - Recommendation Engine **Agentic AI Enablement - Semantic Layer Tools** - Agentic Query Orchestration - Contextual Reasoning Layer - Workflow Automation via Semantic Agents **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Denodo Alternatives - [Dremio](https://www.g2.com/products/dremio/reviews) - 4.6/5.0 (64 reviews) - [CData Virtuality](https://www.g2.com/products/cdata-virtuality/reviews) - 4.7/5.0 (20 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - 4.3/5.0 (191 reviews)