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What is Eclipse Streamsheets?

Develop sophisticated applications that enhance workflow efficiency, facilitate continuous operational oversight, and enable real-time process management. These innovative solutions are built to function around the clock on cloud infrastructure as well as edge devices. With an intuitive spreadsheet-like interface, you don't need programming skills; you can easily drag and drop data, input formulas, and generate charts effortlessly. All the necessary protocols for linking to sensors and machinery, such as MQTT, REST, and OPC UA, are conveniently provided. Streamsheets excels in handling streaming data, accommodating formats including MQTT and Kafka. You can choose a topic stream, make adjustments as necessary, and reintegrate it into the expansive realm of streaming data. Through REST, you unlock access to a wide range of web services, and Streamsheets ensures smooth bidirectional connections. Furthermore, Streamsheets can be utilized not only in cloud environments and on private servers but also on edge devices like Raspberry Pi, significantly enhancing their adaptability to diverse operational contexts. This inherent flexibility empowers companies to tailor their systems to meet specific operational demands, thereby optimizing overall performance.

What is Infor IoT?

Infor's Internet of Things (IoT) platform enables secure and efficient collection of sensor data from various locations, effectively managing it at scale. By merging this sensor data with insights from Infor CloudSuiteâ„¢ EAM, users can achieve improved asset health monitoring. This additional context greatly enhances the ability to identify anomalies, optimize workflows, improve reporting, and leverage data analytics in conjunction with machine learning methods. The sensor data gathered through Infor IoT is stored in the Infor Data Lake, which creates vast opportunities for a more thorough application of IoT data. Moreover, device data can be enriched with diverse attributes and metadata, leading to improved search functionality and enhanced device management capabilities. Users can observe telemetry in near real-time thanks to an advanced rule engine, while device templates facilitate a smoother setup and onboarding experience. The portal's architecture is crafted for scalability and includes a flexible rule editor that allows for specific conditions and actions, promoting customized automation and responsiveness. In summary, Infor IoT offers a comprehensive and powerful solution for the effective management and analysis of Internet of Things data. Furthermore, this platform empowers businesses to harness the full potential of their IoT initiatives, driving innovation and efficiency across various operations.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
HxGN EAM
Infor Data Lake
Infor OS
Raspberry Pi OS

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
HxGN EAM
Infor Data Lake
Infor OS
Raspberry Pi OS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Cedalo

Date Founded

2017

Company Location

Germany

Company Website

cedalo.com/products/streamsheets/

Company Facts

Organization Name

Infor

Date Founded

2002

Company Location

United States

Company Website

www.infor.com/products/infor-iot

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

No-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management

Categories and Features

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

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