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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 Adaptigent?

Fabric enables a swift and effortless connection between your contemporary IT ecosystem and your essential data and transaction systems. The intricate nature of our IT infrastructures mirrors the complexities of the world we live in. CIOs frequently face a heightened level of system intricacy that becomes challenging to navigate after years of evolving market dynamics, technological advancements, and corporate mergers. This intricacy not only consumes a significant portion of IT budgets but also hampers organizations from effectively meeting real-time business demands. While it's unrealistic to expect an overnight resolution to this complexity, Adaptigent's Adaptive Integration Fabric serves as a safeguard, shielding your business from the challenges posed by your critical data sources. By utilizing this solution, you can fully harness the capabilities of your legacy systems, which are vital to your organization, all while mitigating the risks associated with their complexity. This approach not only fosters operational efficiency but also positions your company to adapt to future challenges with greater agility.

Media

Media

Integrations Supported

APERIO DataWise
Amazon Web Services (AWS)
Azure Marketplace
Cloudera
DigDash
Google Cloud Platform
Inverbis
Looker
Microsoft Azure
Microsoft Power Query
MongoDB
OvalEdge
Powerslide
Retool
SecuPi
Velotix
Vertica
Zoho DataPrep
data.world
erwin Data Intelligence

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Windows

Customer Service / Support

24 Hour Support

Customer Service / 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

Adaptigent

Date Founded

1982

Company Location

United States

Company Website

www.adaptigent.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

Data Fabric

Not specified

Integration

Web Services

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