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Description
As digitalization continues to expand, the quantity and diversity of data are rapidly increasing, which also applies to your organization. Leverage the extensive range of data accessible through Cadenza data analytics software, which allows you to harness information from custom applications, databases, Internet of Things (IoT) devices, social media platforms, acquired datasets, and open spatial data like OpenStreetMap (OSM) or official open data sources. By transforming this available data into valuable insights, you can establish a robust foundation for decision-making within your organization. The Cadenza Data Analytics Platform offers a multitude of advantages, including the ability to discover new insights through data exploration, enabling you to analyze and combine your datasets flexibly. This empowers you to confirm or refute hypotheses and to gain a deeper understanding of intricate correlations and patterns within the data. With the ability to extract significant insights quickly, you can make well-informed decisions in a timely manner. Additionally, you can filter and analyze your data, presenting it in various formats such as tables, charts, maps, and interactive dashboards, allowing for easy dissemination of information across your organization. Ultimately, Cadenza equips you with powerful tools to maximize the potential of your data.
Description
Carmenta delivers an advanced geospatial software development kit (SDK) along with a suite of tools that facilitate the development of sophisticated applications designed for real-time visualization and analysis of geospatial data across various environments including air, sea, and land. At its core, the Carmenta Engine SDK provides high-performance rendering capabilities for both 2D and 3D maps, incorporating live dynamic data such as video feeds and radar imagery, while also supporting complex analytical functions like line-of-sight evaluations, terrain assessments, and tactical overlays, compatible with operating systems like Windows, Linux, and Android and offering APIs for languages including C++, .NET, Java, and Python. Additionally, the Carmenta Server acts as a scalable web map server backend, capable of accessing and distributing over 100 geospatial data formats via open standards, and facilitating spatial analysis for applications that can be deployed either on-premises or within cloud or containerized environments for interactive web services. The technology’s design prioritizes flexibility and interoperability, ensuring seamless integration into mission-critical systems while adhering to open standards and supporting cross-platform functionalities. This focus on adaptability allows developers to create tailored solutions that meet specific operational needs.
API Access
Has API
API Access
Has API
Integrations
.NET
.NET MAUI
C++
Java
Python
Qt
Windows Forms
Xamarin
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
Disy Informationssysteme
Country
Germany
Website
www.disy.net
Vendor Details
Company Name
Carmenta
Founded
1985
Country
Sweden
Website
carmenta.com
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis