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Ratings and Reviews 387 Ratings
What is Fraxses?
A wide array of products exists to support businesses in achieving their objectives, but for organizations aiming to cultivate a data-driven culture while optimizing efficiency and reducing expenses, Fraxses stands out as the premier distributed data platform globally. With Fraxses, clients gain instant access to data, unlocking valuable insights through a solution that can implement either a data mesh or a data fabric architecture. Visualize a data mesh as a framework that interconnects diverse data sources, enabling them to function seamlessly as one integrated entity. Unlike other platforms that primarily focus on data integration and virtualization, Fraxses offers a decentralized architecture that distinguishes it from competitors. While Fraxses effectively supports traditional data integration techniques, the trend is shifting toward an innovative model where data is delivered directly to users, thereby negating the need for a centralized data lake or platform. This forward-thinking approach not only empowers users with greater autonomy but also enhances the ease of data access throughout the organization, fostering a more agile and responsive data environment. As businesses continue to evolve, embracing such innovative solutions becomes crucial for maintaining a competitive edge in the market.
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.
Integrations Supported
APERIO DataWise
Amazon Web Services (AWS)
Azure Marketplace
Cloudera
DigDash
Google Cloud Platform
Looker
Microsoft Azure
MongoDB
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
24 Hour Support
Training Options
Documentation Hub
Webinars
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Intenda
Date Founded
2001
Company Location
South Africa
Company Website
intenda.tech/fraxses/
Company Facts
Organization Name
Denodo Technologies
Date Founded
1999
Company Location
United States
Company Website
www.denodo.com
Categories and Features
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