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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 Datafi?
Datafi presents an all-encompassing data platform specifically designed for business teams, effectively integrating disparate data systems while prioritizing strong data security. The platform enables self-service data workflows, empowering business users to easily find, utilize, and share critical information. Organizations select Datafi to boost their data capabilities, thereby equipping a wider array of individuals to make swift, informed decisions grounded in data. With Datafi, the process of accessing any data is simplified, making it beneficial for all users involved. It clarifies the aspects of data access and usage, which is vital for organizations aiming to leverage their data for significant business outcomes. Data-centric companies understand that simplifying and securing data access is essential for unlocking new avenues for growth. By encouraging innovative uses of business data, organizations can achieve transformative results, and those that focus on enhancing data literacy are more inclined to discover insights that improve client services. Cultivating a culture that prioritizes data not only fosters an environment of continual improvement but also positions organizations strategically for future advancements. Ultimately, Datafi empowers businesses to harness their data potential fully, paving the way for sustained success.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
MongoDB
APERIO DataWise
Cloudera
DigDash
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
MongoDB
Amazon Aurora
Amazon S3
Apache Synapse
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
$0.005 per query
Free Version
Supported Platforms
SaaS
Windows
Supported Platforms
SaaS
On-Prem
Customer Service / Support
24 Hour Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
Denodo Technologies
Date Founded
1999
Company Location
United States
Company Website
www.denodo.com
Company Facts
Organization Name
Datafi
Company Location
United States
Company Website
datafi.us
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
Data Catalog
Not specified
Data Management
Not specified