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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Easily expose and utilize APIs for legacy systems with minimal configuration, while simultaneously capturing and transmitting large datasets through real-time data interchange without the need for development. The integration landscape in cloud environments can be managed more effectively with straightforward and unified configurations, addressing a common challenge faced by organizations of any size when it comes to merging diverse systems and datasets. This integration hurdle often presents itself in various contexts, whether it involves on-premise applications, cloud-based solutions, or interoperability between different cloud services. The Adaptris Interlok™ Integration Framework serves as an event-driven architecture that empowers architects to swiftly link various applications, communication protocols, and data formats, resulting in a cohesive integrated solution. It provides effortless connections to hundreds of applications and supports a wide array of data standards and communication protocols. Additionally, the framework offers the capacity to cache data, which significantly diminishes the latency experienced during multiple requests to slower or distant backend systems, enhancing overall performance and efficiency. Ultimately, this framework streamlines the integration process, making it more accessible for organizations navigating complex technological landscapes.

Description

Link IoT Edge facilitates the management of a vast network of edge nodes by enhancing cloud functionalities, thereby delivering services closer to users. This platform offers a seamless integration of cloud and edge computing, boasting native compatibility with Alibaba Cloud. It includes essential features such as communication protocol development, remote operation and maintenance, along with frameworks for edge applications, all aimed at streamlining business growth and increasing efficiency. Additionally, Link IoT Edge supports a wide range of IoT application layer data collection protocols, effectively masking the variances of the underlying hardware communication links. It standardizes data conversion and presents a unified object model for data, enabling cloud applications to efficiently leverage edge capabilities. The platform also allows devices to utilize ecological drivers for swift migration to the cloud post-debugging and accommodates multiple programming languages for development frameworks. With its comprehensive suite of tools and capabilities, Link IoT Edge empowers businesses to harness the full potential of IoT technology.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud No 

Integrations

Alibaba Cloud Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Adaptris

Founded

1998

Country

United Kingdom

Website

www.adaptris.com/interlok/

Vendor Details

Company Name

Alibaba Cloud

Founded

2008

Country

China

Website

www.alibabacloud.com/product/linkiotedge

Product Features

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

Alternatives

Alternatives