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Ratings and Reviews 86 Ratings

What is Veea Edge Platform?

Veea's Edge Platform constitutes a comprehensive ecosystem that integrates computing, connectivity, and security to enhance Internet of Things (IoT) applications. At its core are the VeeaHubs, versatile devices equipped with powerful quad-core CPUs that offer outstanding edge computing capabilities. This platform supports a plethora of applications, facilitating virtualized environments tailored to diverse operational requirements. With VeeaHubs, users can expect seamless device connectivity, while options for LoRaWAN and 4G/5G expand networking possibilities. The introduction of vMesh technology fosters scalable and efficient network development, empowering businesses to grow according to their needs. Emphasizing security, the platform adheres to stringent industry standards and offers customizable solutions that cater to specific requirements. Furthermore, VeeaCloud simplifies the deployment process by providing intuitive tools for configuration, management, and analytics, ensuring consistent application performance. Collectively, these attributes position Veea's Edge Platform as a formidable solution that adeptly addresses the complexities of contemporary IoT challenges, making it an invaluable asset for any organization aiming to leverage IoT technology effectively.

What is HiveMQ?

HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. What HiveMQ is known for: 1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication 2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance 3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers 4. Scalable & secure: Supports global deployments with strong security, governance, and observability 5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Niagra Framework
Snowflake

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Niagra Framework
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.34/hour
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

Veea

Date Founded

2014

Company Location

United States

Company Website

www.veea.com

Company Facts

Organization Name

HiveMQ

Date Founded

2012

Company Location

Germany

Company Website

www.hivemq.com

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

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

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

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

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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