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Description
HULFT IoT serves as a robust managed file transfer middleware tailored for IoT devices, effectively safeguarding against data loss in essential scenarios like payment processing, security, and monitoring. While utilizing protocols like MQTT or HTTPS for IoT data gathering demands a learning curve for users, HULFT IoT simplifies the process by requiring only the installation of its software, thus enabling swift data collection. Additionally, with the integration of DataSpider Servista, our enterprise application integration (EAI) tool, users can seamlessly connect multiple applications to the data gathered by HULFT IoT without any coding, as the setup process is entirely based on drag-and-drop functionality. A machine tool manufacturer previously conducted on-site inspections and maintenance for their customers, during which each device generated operational log data. By analyzing this data, they were able to forecast maintenance needs effectively. To enhance their operational efficiency, the company sought to implement remote monitoring of devices and schedule maintenance personnel as needed. However, the challenge arose with each device producing approximately 10GB of log data daily, complicating their data management efforts further. To address this, they recognized the necessity of a streamlined solution that could handle such vast amounts of data efficiently.
Description
The Internet of Things (IoT) encompasses billions of physical devices globally that are interconnected and actively gathering and sharing data. By leveraging IoT data alongside IBM Cloud® technologies, organizations can derive meaningful insights that enhance nearly every facet of their operations while also paving the way for innovative business models. Begin by linking your device to an IBM Cloud recipe, utilizing open and lightweight protocols like MQTT or HTTP for connectivity. Efficient management of connected devices allows applications to access both real-time and historical data. Secure APIs facilitate the integration of your applications with the data generated by these devices, enabling seamless interaction. You can develop analytical applications either within the IBM Cloud, on another cloud platform, or on your own servers. The IBM Watson IoT® Platform provides a straightforward method to connect, gather, and process IoT data quickly. Additionally, you can leverage the analytics service for effective visualization and AI-enhanced analytics in the cloud, leading to informed decision-making and operational efficiency. This integration ultimately transforms the way businesses operate and create value in the digital landscape.
API Access
Has API
API Access
Has API
Integrations
DataSpider Servista
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Integrations
DataSpider Servista
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
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
HULFT
Founded
2016
Country
Singapore
Website
www.hulft.com/apac/hulft-iot
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/internet-of-things
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Managed File Transfer (MFT)
API Integration
Authentication / Auditing
Compression
Data Sharing
Data Transmission Protocol Integration
Database Management
Encryption Support
Fail-Over / Load Balancing
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization