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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 CONTACT Elements?

CONTACT Elements is an integration solution designed to optimize and harmonize business operations across various platforms, including ERP, PLM, CAx applications, and Office tools. By eliminating data silos and facilitating the seamless, automatic distribution of information, it significantly reduces the costs tied to manual data collection while enhancing the accessibility of information, which leads to faster search times. The platform boosts workflow efficiency by synchronizing processes; for instance, in engineering change management, digital workflows monitor outcome provisions, minimize downtime, and detail process chains that interlink systems like PLM and ERP. With automatic data synchronization in place, employees can readily access the latest information from all connected systems. Furthermore, CONTACT Elements advances the integration of assets and devices within IoT frameworks, promoting data-centric operations and enabling effective oversight of manufacturing systems. This comprehensive approach to integration not only simplifies operations but also equips organizations with the ability to make strategic decisions based on real-time data, ultimately fostering innovation and agility in today's dynamic business landscape.

Media

Media

Integrations Supported

APERIO DataWise
Cloudera
Cosmian
DigDash
Google Cloud Platform
Looker
Microsoft Azure
Microsoft Power Query
MongoDB
OvalEdge
Powerslide
Retool
SecuPi
Tableau
Toucan
Vertica
Visplore
Zoho DataPrep
data.world
erwin Data Intelligence

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
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

CONTACT

Date Founded

1990

Company Location

Germany

Company Website

www.contact-software.com/en/products/integration-platform/

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 Integration

Not specified

Integration

Not specified

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