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What is Datacake?

The Datacake platform provides an array of tools for developing Industrial IoT applications such as condition monitoring, data logging, real-time dashboards, and in-depth data analytics. You have the ability to seamlessly connect devices and gateways via protocols like LoRaWAN or NB-IoT. The platform is designed for integration flexibility, featuring options like MQTT and other interfaces. By utilizing the Datacake IoT platform together with Ready-to-Use LoRaWAN sensors, you can efficiently oversee water levels in a variety of environments, including flowing streams, still ponds, and storage containers. Moreover, the platform includes advanced online mapping tools that enable you to visualize the current locations of your IoT assets, including sensors and machinery, on interactive maps. You can also analyze the historical paths taken by these devices, which offers valuable insights directly within the mapping interface. Additionally, there's the option to upload images and place sensors onto detailed floor plans, hall layouts, or other pertinent diagrams, facilitating a clear presentation of on-site conditions for your clients. Information can be transmitted to your devices on Datacake through webhooks, and payload decoders are available to manage HTTP requests effectively. By capitalizing on these robust features, companies can significantly boost their operational efficiency and make better-informed decisions. Ultimately, the versatility of the Datacake platform empowers businesses to create bespoke IoT solutions tailored to their specific needs.

What is APM Health?

APM Health, which is part of GE Digital's asset performance management suite, manages data from a variety of assets and systems to create a comprehensive and validated data repository that provides a unified view of expected performance at the asset, plant, and enterprise levels. By tackling challenges related to data inconsistency and latency that typically hinder the management of industrial assets, APM Health delivers real-time insights into asset health, issues timely warnings for possible failures, and spots areas with elevated risks. The health manager leverages the collected data to evaluate and convey the current status of the asset in its operational context. It employs techniques for anomaly detection by scrutinizing metrics and implementing rule-based exceptions. Furthermore, the health manager ensures continuous monitoring of asset health through regular data surveillance, along with specific checks or scheduled assessments via rounds and calibration oversight. This comprehensive system ultimately enhances decision-making capabilities, bolstering operational efficiency, while also fostering a proactive approach to asset management that can lead to significant cost savings and improved reliability over time.

Media

Media

Integrations Supported

Golioth
Particle

Integrations Supported

Golioth
Particle

API Availability

Has API

API Availability

Has API

Pricing Information

€1 per device per month
Free Trial Offered?
Free Version

Pricing Information

Free
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

Datacake

Date Founded

2017

Company Location

Germany

Company Website

datacake.co

Company Facts

Organization Name

GE Digital

Company Location

United States

Company Website

www.ge.com/digital/applications/asset-performance-management/apm-health

Categories and Features

IoT

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

Low-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

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