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DIAdem is a specialized software application that supports engineers in expediting the post-processing of measurement data with great effectiveness. Designed for the handling of large datasets, it provides users with tools that facilitate quick aggregation and targeted searches for specific information, as well as engineering-focused analytical functions, all of which can be easily shared through a user-friendly drag-and-drop report editor. Supported by DataPlugins, DIAdem is capable of processing more than a thousand distinct data file types, ensuring smooth integration into various workflows. Furthermore, users can leverage scripting options in Python or Visual Basic to automate and optimize repetitive data handling tasks, effectively converting raw measurement data into clear and actionable insights. This dynamic tool not only helps in identifying and managing measurement data to inform decision-making but also demonstrates versatility across numerous industries and application areas. By employing DIAdem to unify diverse sensor data from multiple origins, engineers can synchronize and replay data, providing a deeper insight into the behavior and performance of electromechanical systems. Ultimately, DIAdem enables users to extract valuable conclusions from their datasets, thereby boosting overall productivity and enhancing decision-making processes significantly. Its robust capabilities make it an indispensable asset for engineers striving to achieve excellence in data analysis and interpretation.
What is IBM Watson IoT Platform?
A fully managed cloud solution designed for seamless device registration, connectivity, control, rapid visualization, and data storage. By incorporating chip, application, and cloud technologies, users can maximize the capabilities of Watson's cognitive APIs, benefit from feature-rich dashboards, access extensive developer tools, and enjoy robust security measures to improve insights within the enterprise IoT landscape. This service delivers predictive, real-time, and edge analytics for user, machine, and environmental data, leveraging machine learning and cognitive APIs to enhance its effectiveness. It also provides governance across applications and devices in the IoT ecosystem, tracking usage and performance patterns, identifying anomalies, and ensuring the integrity of data and transactions. The platform interconnects IoT devices, networks, and gateways through a growing ecosystem that utilizes open standards for communication, including MQTT and HTTPS. Additionally, it enables users to identify, aggregate, and transform data from diverse IoT sources into organized asset-centric information. Users can tap into their IoT data to uncover insights regarding present conditions and trends, analyze unstructured information from videos and images, and derive meaningful insights from unstructured text data. By leveraging these capabilities, organizations are empowered to make well-informed decisions grounded in thorough data analysis and visualization, ultimately fostering a data-driven culture. This comprehensive approach ensures that businesses can continuously adapt and innovate in an ever-evolving technological landscape.
Integrations Supported
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
Integrations Supported
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
API Availability
Has API
API Availability
Has API
Pricing Information
$666 per year
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NI
Date Founded
1976
Company Location
United States
Company Website
www.ni.com/en-us/shop/data-acquisition-and-control/application-software-for-data-acquisition-and-control-category/what-is-diadem.html
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/watson-iot-platform
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking