Average Ratings 387 Ratings
Average Ratings 0 Ratings
Description
Denodo is a logical data management platform built to help enterprises unify, govern, and deliver trusted data across complex technology environments. It connects data from cloud, on-premises, SaaS, third-party, and multi-cloud systems without copying or duplicating the information. The platform gives organizations a single trusted view of distributed data, helping analytics teams, business users, and AI agents access current information more efficiently. Denodo supports trustworthy agentic AI by combining live data access with business semantics, centralized governance, compliance controls, and lineage. Its self-service data marketplace allows users to find, prepare, and use governed data while reducing dependence on IT teams. The platform also supports natural language search, personalized data delivery, and role-specific views so users can get data with the right business meaning. Denodo helps organizations improve data lakehouse investments by giving teams optimized access to data beyond a single repository. Its real-time delivery capabilities help operations, analytics, and AI systems make decisions based on current information instead of stale copies. By reducing integration time and improving time-to-insight, Denodo gives enterprises a trusted data foundation for AI, analytics, and digital transformation.
Description
Quill stands out as the pioneering platform for ensuring data reliability through an agentic approach. Since the quality of data fundamentally influences every AI agent, workflow, and decision, we focus on enhancing the core element: dedicated agents that maintain the precision and dependability of your record systems. By prioritizing data integrity, Quill empowers organizations to make informed decisions with confidence.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
APERIO DataWise
Yes
Azure Marketplace
Yes
Cloudera
Yes
Cosmian
Yes
DigDash
Yes
Google Cloud Platform
Yes
Inverbis
Yes
Looker
Yes
Microsoft Azure
Yes
Model Context Protocol (MCP)
No
Integrations
APERIO DataWise
No
Azure Marketplace
No
Cloudera
No
Cosmian
No
DigDash
No
Google Cloud Platform
No
Inverbis
No
Looker
No
Microsoft Azure
No
Model Context Protocol (MCP)
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Pricing is customized based on your organization's size, data environment, and requirements. Contact us to schedule a demo, and we'll provide a tailored pricing proposal based on your specific needs.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Denodo Technologies
Founded
1999
Country
United States
Website
www.denodo.com
Vendor Details
Company Name
Quill
Founded
2026
Country
United States
Website
www.tryquill.com
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
Yes
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Fabric
Data Access Management
Yes
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
Yes
Multiple Data Sources
Yes
Web Services
Yes
