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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.

Description

V Net combines the art and science behind inventory management. We offer a dynamic, 100% scalable Inventory Management System that is custom-built to meet the specific needs of your business. Since October 2002, we have been active in the Asia Pacific region. V Net captures data from all points in the supply chain, from consumer sales on a daily basis at the store and item levels to warehouse shipments as well as stock inventory levels for each store and distribution center. We import operational data daily from over 6,000 retail outlets in the Asia Pacific region. Our software is intuitive and intelligent, enabling direct collaboration between retailer & supplier. We are committed to delivering efficiency improvements across the supply chain. Our team of V Net Inventory Specialists will provide you with human support.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

AWS App Mesh
AWS IoT Core
Ably
Broadleaf Commerce
Coralogix
CorralData
Datazoom
Hitachi Unified Compute RS Series
HiveMQ
Hydrolix
OpenMetadata
Procyon
Protegrity
Reekoh
Rocket Data Replicate & Sync
SQLstream
Sclera
Sibros
Vendia
Yandex Data Streams

Integrations

AWS App Mesh
AWS IoT Core
Ably
Broadleaf Commerce
Coralogix
CorralData
Datazoom
Hitachi Unified Compute RS Series
HiveMQ
Hydrolix
OpenMetadata
Procyon
Protegrity
Reekoh
Rocket Data Replicate & Sync
SQLstream
Sclera
Sibros
Vendia
Yandex Data Streams

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/kinesis/

Vendor Details

Company Name

V Net Solutions

Founded

2002

Country

Australia

Website

vnetsolutions.com

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Product Features

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

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