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What is mimik edgeEngine?

The hybrid edgeCloud platform enables a wide array of smart devices, including smartphones and IoT devices, to act as cloud servers whenever needed. The edgeEngine is a downloadable software that allows these devices to function as cloud servers in appropriate conditions. This adaptable engine can be used with any smart device, irrespective of its operating system or network, and integrates effortlessly with any cloud system. Unlike conventional backend development, which frequently requires extensive time and financial investment for server upkeep and scaling, mimik provides a serverless environment specifically designed for edge microservices, guaranteeing peak performance and efficiency. By leveraging the edgeEngine, users can transform any smart device with fundamental computing capabilities—such as smartphones, PCs, set-top boxes, IoT gateways, game consoles, smart TVs, drones, robots, and automotive infotainment systems—into functional servers. Moreover, developers can either craft and deploy custom edge microservices or utilize mimik’s ready-made, field-tested microservices to deliver innovative solutions or upgrade existing applications. This functionality not only simplifies the development workflow but also greatly diminishes the obstacles to adopting advanced technologies. As a result, organizations can swiftly adapt to evolving technological landscapes and enhance their operational agility.

What is Thingsboard?

ThingsBoard enhances device connectivity by utilizing popular IoT protocols like MQTT, CoAP, and HTTP, catering to both cloud-based and local deployments. It is designed with a focus on scalability, robustness, and outstanding performance, safeguarding your data effectively. Users can securely provision, monitor, and manage their IoT devices through extensive server-side APIs. The platform enables the seamless connection of devices, assets, customers, and other entities, simplifying integration. Telemetry data can be collected and stored effectively in a resilient and scalable manner. Users have the option to visualize their data through built-in or customized widgets, along with adaptable dashboards that can be shared with clients. Additionally, ThingsBoard allows for the creation of data processing rule chains, which help transform and standardize device data efficiently. Alerts can be triggered based on incoming telemetry events, attribute updates, device inactivity, and user interactions, further enhancing system responsiveness. To maximize scalability and fault tolerance, users can build a ThingsBoard cluster utilizing its microservices architecture. Furthermore, the platform supports both cloud and on-premises configurations, providing a flexible solution for diverse deployment requirements. This adaptability empowers users to customize their IoT implementations to meet specific needs and preferences, ensuring an optimal experience.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Docker
Flybits

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Docker
Flybits

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

mimik

Company Location

United States

Company Website

mimik.com

Company Facts

Organization Name

Thingsboard

Company Location

Ukraine

Company Website

thingsboard.io

Categories and Features

IoT

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

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

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