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What is Denodo?
Denodo is an enterprise data management platform designed to deliver live, unified, governed, and business-ready data for AI agents, analytics, applications, and self-service users. It uses logical data management to connect information across hybrid, multi-cloud, on-premises, SaaS, lakehouse, and third-party environments without moving or duplicating data. The platform helps organizations break down data silos by creating a single trusted access layer over distributed systems. Denodo supports trustworthy AI by giving agents real-time situational awareness, relevant enterprise context, consistent semantics, and compliance guardrails. Its zero-copy approach helps organizations reduce data replication, simplify integration, and avoid delays caused by traditional pipeline-heavy architectures. The platform also provides a personalized data marketplace where users can search, discover, prepare, and use governed data with less IT involvement. Denodo’s governance capabilities enforce consistent policies across cloud and on-premises environments while supporting fine-grained oversight, lineage, and compliance controls. Its real-time query optimization allows teams to make decisions using current data while keeping infrastructure costs under control. Business-contextual semantics help tailor data delivery for different roles, use cases, applications, and AI models. Denodo can support use cases such as AI agents and apps, lakehouse optimization, real-time operations, data products, and enterprise self-service analytics. With faster insight delivery, stronger governance, and trusted data access, Denodo helps organizations create a reliable foundation for agentic AI and modern data-driven operations.
What is Arundo Enterprise?
Arundo Enterprise offers a comprehensive and adaptable software platform aimed at creating customized data products for users. By integrating real-time data with advanced machine learning and various analytical tools, we guarantee that the results from these models are used to guide business strategies effectively. The Arundo Edge Agent enhances industrial connectivity and data analysis capabilities, even in challenging, remote, or offline environments. With Arundo Composer, data scientists can easily deploy desktop analytical models into the Arundo Fabric cloud with a single command, simplifying the process significantly. Moreover, Composer allows organizations to develop and manage live data streams, which can be seamlessly incorporated with existing data models for improved functionality. Acting as the core cloud-based hub, Arundo Fabric facilitates the oversight of deployed machine learning models, data streams, and edge agents, while also providing straightforward access to additional applications. Arundo's extensive selection of SaaS products is crafted to optimize return on investment, with each solution designed to harness the core strengths of Arundo Enterprise. This holistic approach ensures that businesses can more effectively utilize data to enhance decision-making processes and foster innovation, ultimately leading to a competitive edge in their respective markets. By streamlining data management and analytics, organizations can remain agile and responsive to ever-changing industry demands.
Integrations Supported
APERIO DataWise
Azure Marketplace
Cloudera
Cosmian
DigDash
Google Cloud Platform
Inverbis
Looker
Microsoft Azure
Microsoft Power Query
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Supported Platforms
SaaS
Customer Service / Support
24 Hour Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Denodo Technologies
Date Founded
1999
Company Location
United States
Company Website
www.denodo.com
Company Facts
Organization Name
Arundo
Date Founded
2015
Company Location
Norway
Company Website
arundo.com
Categories and Features
Big Data
Data Visualization
Data Catalog
Not specified
Data Fabric
Data Access Management
Data Integration
Not specified
Data Management
Not specified
Data Preparation
Not specified
Data Virtualization
Not specified
Data Warehouse
Not specified
Integration
Metadata Management
Multiple Data Sources
Web Services
Semantic Layer
Not specified
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Fabric
Not specified