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What is Pratexo?

Pratexo dramatically accelerates the processes of developing, assessing, and deploying the distributed systems that are crucial for sophisticated applications in fields such as artificial intelligence, the Internet of Things, and Industry 4.0. By leveraging well-established and open technologies, Pratexo provides a secure and resilient platform that is customized to meet the specific needs of your application. For these transformative applications to operate effectively, they must have the capability to detect, analyze, and respond to enormous volumes of data in real-time. This requirement leads to the necessity for a distributed cloud infrastructure that offers vital cloud services across multiple locations, particularly nearer to the edge. The task of designing and implementing such architectures and applications is not only complex but also introduces various challenges. Applications that initially demonstrate strong performance may encounter difficulties in sustaining efficiency when scaled and can struggle in real-world settings. Many proof-of-concept projects aimed at 'digital transformation' tend to either fail or take significantly longer to be market-ready than originally expected, highlighting the intricacies involved in this journey. Therefore, it becomes clear that a thoughtful and strategic approach is crucial to overcoming these obstacles and achieving successful outcomes in deployment. Additionally, addressing these challenges with innovative solutions can pave the way for more efficient and effective operational models in the future.

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
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
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

Pratexo

Date Founded

2019

Company Location

United States

Company Website

pratexo.com

Company Facts

Organization Name

HiveMQ

Date Founded

2012

Company Location

Germany

Company Website

www.hivemq.com

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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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