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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 Civis Analytics Platform?
Data is a crucial element that underpins both innovation and insightful discoveries. Civis Analytics offers intuitive technology and in-depth expertise that enable organizations of various sizes to tap into audience intelligence, improve engagement, and drive growth, positioning us to revolutionize your organization as well. While the significance of data is immense, it frequently exists in a disjointed manner—fragmented, duplicated, and confined within silos. To fully leverage its power, it is essential to consolidate, cleanse, and centralize this data, facilitating the emergence of insights that fuel innovation, improve customer interaction, and provide a competitive advantage. Civis's data solutions are reshaping the way organizations like yours collect, access, and utilize their data, empowering you to unlock its full potential and communicate effectively with the right audience at the most opportune times. By addressing duplicate profiles, you can gain a thorough understanding of each customer, which lays the groundwork for more tailored and impactful engagement strategies. This comprehensive methodology not only strengthens customer relationships but also equips your organization for lasting success in an era increasingly defined by data. Ultimately, embracing these practices will allow your organization to thrive and adapt in a rapidly changing landscape.
Integrations Supported
APERIO DataWise
Amazon Web Services (AWS)
Azure Marketplace
Cosmian
DigDash
Google Cloud Platform
Inverbis
Looker
Microsoft Azure
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
Civis Analytics
Company Location
United States
Company Website
www.civisanalytics.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 Visualization