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Description
Fabric allows you to effortlessly integrate your contemporary IT landscape with essential data and transaction systems, ensuring a rapid connection. In our intricate world, the complexity of IT systems is a reflection of various factors. After numerous years of advancement, shifts in the market, technological innovations, and numerous mergers and acquisitions, CIOs often find themselves navigating an overwhelming level of system intricacy. This overwhelming complexity consumes a significant share of IT budgets and hinders IT departments from effectively addressing the immediate demands of the business. While it's unrealistic to expect an immediate resolution to this complexity, Adaptigent’s Adaptive Integration Fabric offers a protective barrier against the challenges posed by critical data sources, enabling your organization to fully harness the capabilities of secure, stable, and information-rich legacy systems that form its foundation. By employing this innovative solution, businesses can focus more on strategic objectives rather than getting bogged down by convoluted system issues.
Description
Arundo Enterprise presents a versatile and modular software suite designed for the development of data products tailored for individuals. By linking real-time data with machine learning and various analytical frameworks, we ensure that the outcomes of these models directly inform business strategies. The Arundo Edge Agent facilitates industrial connectivity and analytics, even in harsh, remote, or non-connected settings. With Arundo Composer, data scientists can effortlessly deploy desktop analytical models into the Arundo Fabric cloud environment using just one command. Additionally, Composer empowers organizations to create and manage live data streams, seamlessly integrating them with existing data models. Serving as the central cloud-based hub, Arundo Fabric supports the management of deployed machine learning models, data streams, and edge agent oversight while offering streamlined access to further applications. Arundo's impressive range of SaaS products is designed to maximize return on investment, and each solution comes equipped with a fundamental functionality that capitalizes on the inherent strengths of Arundo Enterprise. The comprehensive nature of these offerings ensures that companies can leverage data more effectively to drive decision-making and innovation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Adaptigent
Founded
1982
Country
United States
Website
www.adaptigent.com
Vendor Details
Company Name
Arundo
Founded
2015
Country
Norway
Website
arundo.com
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management