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Ratings and Reviews 0 Ratings
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What is CoreDX DDS?
CoreDX DDS is an intuitive, cross-platform library designed for Inter-Process Communication (IPC) that supports multiple programming languages. With its remarkable performance characterized by minimal overhead and low latency, it is particularly well-suited for real-time control and capable of handling high message throughput for large-scale data transfers. The library facilitates secure, resilient, and dynamic data exchange, allowing for adaptable communication solutions. Built upon open standards, CoreDX DDS ensures interoperability and long-term sustainability, making it the preferred IPC choice for a wide variety of distributed software applications, such as mobile gaming, consumer electronics, medical devices, advanced Department of Defense systems, and robots operating in space environments. Developers value CoreDX DDS not only for its ease of use but also for its extensive feature set, many of which are difficult to replicate manually and are not available in other IPC libraries. The library includes essential functionalities like built-in end-to-end security, data filtering and storage, data presentation, and event notification options, enabling developers to focus on their core application development without being hindered by complex communication challenges. As a result, CoreDX DDS stands out as a practical and invaluable asset that significantly boosts productivity in software development projects. Furthermore, its adaptability across various domains highlights its versatility and effectiveness in meeting diverse communication needs.
What is AWS IoT Core?
AWS IoT Core allows for a smooth connection between IoT devices and the AWS cloud, removing the complexities of server management and provisioning. It is designed to support a vast number of devices and an immense volume of messages, processing and routing them securely and reliably to both AWS endpoints and other interconnected devices. This service ensures continuous monitoring and communication with devices, even during offline periods. Moreover, AWS IoT Core enhances the integration of various AWS and Amazon services, including AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, enabling developers to construct IoT applications that effectively handle data collection, processing, analysis, and response without worrying about infrastructure management. Additionally, its ability to connect an unlimited number of devices makes it a highly scalable and adaptable solution for a wide range of IoT scenarios. This flexibility supports innovation in smart technologies across different industries.
Integrations Supported
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Kinesis
Amazon QuickSight
Amazon S3
Integrations Supported
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon Kinesis
Amazon QuickSight
Amazon S3
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
Twin Oaks Computing
Date Founded
2005
Company Location
United States
Company Website
www.twinoakscomputing.com/coredx
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/iot-core/
Categories and Features
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