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DenodoDenodo 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 Tellius?
Enhance your understanding of the essential elements and motivations behind your business data using AI-driven insights. Tellius Decision Intelligence enables both business professionals and analytics teams to quickly identify the root causes and main drivers of business performance, while also providing instant answers in a conversational format. Simplify complex data analyses to uncover underlying factors, recognize critical business influencers, evaluate various cohorts, and identify significant segments within your datasets. Quickly reveal insights that might otherwise remain hidden in your data silos. By processing billions of data points from diverse sources in seconds, you can access vital discoveries. Broaden analytical capabilities for a wider audience, combining industry knowledge with data science insights. Tellius presents a modern solution for decision intelligence that addresses the needs for both spontaneous data exploration and visualization, as well as the automated revelation of insights powered by machine learning, all while utilizing the advantages of cloud scalability and flexibility. This groundbreaking platform guarantees that organizations can make well-informed decisions with greater efficiency and effectiveness, ultimately leading to improved outcomes and enhanced business strategies.
What is Rapidminer?
Rapidminer is a powerful enterprise AI and analytics solution from Siemens that helps organizations transform disconnected data into trusted insights and intelligent automation. The platform unifies data preparation, machine learning, knowledge graphs, generative AI, and agentic AI so teams can build scalable analytics solutions with business context. It is designed to help companies break down data silos, uncover hidden patterns, and make better use of dark data stored in reports, PDFs, spreadsheets, databases, and cloud systems. Rapidminer supports modern analytics initiatives while also helping organizations preserve existing investments by running SAS language programs without translation or third-party licenses. Users can combine SAS, Python, R, and SQL to modernize analytics workflows while reducing disruption to established processes. The platform’s democratized data science capabilities allow technical and nontechnical users to create explainable AI and machine learning models through visual drag-and-drop workflows. Its AutoML, interactive data preparation, and auditable data lineage features help teams build models faster while maintaining trust and transparency. Rapidminer also includes real-time data visualization and streaming analytics tools for industries that need fast, interactive decision-making. Rapidminer Graph Studio creates enterprise knowledge graphs that connect information across systems and enable contextual reasoning for smarter AI agents. These knowledge graphs help organizations answer complex questions that traditional databases may not handle well. With its combination of automation, explainable insights, semantic data modeling, and enterprise scalability, Rapidminer helps businesses operationalize AI and turn data into a long-term strategic advantage.
Integrations Supported
Axon Ivy
Azure Marketplace
Datalytics
MeaningCloud
RapidProM
Rapidminer AI Studio
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Rapidminer SLC
API Availability
API Availability
Pricing Information
$495 per month
$495 per month for up to 5 users. Customized pricing available.
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
Customer Service / Support
Standard Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Webinars
Online Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Tellius
Date Founded
2015
Company Location
United States
Company Website
www.tellius.com
Company Facts
Organization Name
Siemens
Date Founded
1847
Company Location
Germany
Company Website
www.siemens.com/en-us/products/rapidminer/
Categories and Features
Business Intelligence
Ad Hoc Reports
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Trend / Problem Indicators
Visual Analytics
Data Analysis
Not specified
Data Visualization
Not specified
Decision Intelligence
Not specified
Categories and Features
Data Analysis
Not specified
Data Mining
Not specified
Data Modeling
Not specified
Data Preparation
Not specified
Data Science
Not specified
Data Visualization
Not specified
Machine Learning
Not specified
Natural Language Processing
Not specified