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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 Link IoT Edge?

Link IoT Edge enhances cloud functionalities for managing an extensive network of edge nodes, bringing services closer to the end-user. This platform seamlessly integrates cloud and edge computing, featuring native support for Alibaba Cloud. It encompasses vital functionalities such as the development of communication protocols, remote operation and maintenance, and frameworks tailored for edge applications, all designed to facilitate business growth and boost efficiency. Moreover, Link IoT Edge accommodates a diverse array of IoT application layer data collection protocols, effectively concealing the differences in the underlying hardware communication links. By standardizing data conversion, it provides a consistent object model for data, allowing cloud applications to optimize their use of edge capabilities. The platform further enables devices to leverage ecological drivers for rapid transition to the cloud after debugging, while also supporting various programming languages for development frameworks. With this extensive set of tools and features, Link IoT Edge not only empowers businesses to fully exploit IoT technology but also ensures that they remain agile and competitive in a fast-evolving digital landscape. As such, organizations can benefit from enhanced operational insights and improved resource management through the effective use of this platform.

Media

Media

Integrations Supported

Alibaba Cloud
Apache Kafka
Raspberry Pi OS

Integrations Supported

Alibaba Cloud
Apache Kafka
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

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/product/linkiotedge

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

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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