StarCodeInveGix Technologies
|
||||||
Related Products
|
||||||
About
Azkaban is a distributed Workflow Manager, implemented at LinkedIn to solve the problem of Hadoop job dependencies. We had jobs that needed to run in order, from ETL jobs to data analytics products. After version 3.0, we provide two modes: the stand alone “solo-server” mode and distributed multiple-executor mode. The following describes the differences between the two modes. In solo server mode, the DB is embedded H2 and both web server and executor server run in the same process. This should be useful if one just wants to try things out. It can also be used on small scale use cases. The multiple executor mode is for most serious production environment. Its DB should be backed by MySQL instances with master-slave set up. The web server and executor servers should ideally run in different hosts so that upgrading and maintenance shouldn’t affect users. This multiple host setup brings in robust and scalable aspect to Azkaban.
|
About
Modern, user friendly and easy to use. Your can run it with server (network mode), or without server (express mode). Available for both Windows and Android devices (Tablets). You can easily customize it for variety of retail and food businesses. You can download and install in one minute - no other vendor provides such service. Free email support and best prices in the market. Developed with the latest technologies and runs very fast. Access from anywhere option in network mode. Intuitive, modern and responsive graphical interface. Quick to install and immediately ready to use after installation. Does not require any extra servers or installations. All of your data resides locally on your device or computer, but portable. Data files can be shared via USB or cloud drives. Available in StarCode Lite, StarCode Plus and StarCode Pro editions. Best suited for small businesses requiring fast turnaround.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Supported
Chromebook
Not Supported
|
|||||
Audience
Companies looking for a distributed Workflow Manager solution that helps solve the problem of Hadoop job dependencies
|
Audience
Small businesses that need an inventory management and point of sale solution
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$69.00/one-time/user
Free Version
Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationAzkaban
azkaban.github.io
|
Company InformationInveGix Technologies
Founded: 2015
United States
www.starcodepos.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Inventory Management Features
Alerts/Notifications
Supported
Barcoding / RFID
Supported
Forecasting
Not Supported
Inventory Optimization
Not Supported
Kitting
Not Supported
Manufacturing Inventory Management
Supported
Mobile Access
Supported
Multi-Channel Management
Supported
Product Identification
Supported
Reorder Management
Supported
Reporting/Analytics
Supported
Retail Inventory Management
Supported
Supplier Management
Supported
Warehouse Management
Not Supported
|
||||||
Integrations
Hadoop
Supported
IBM watsonx.data integration
Supported
MySQL
Supported
|
Integrations
Hadoop
Not Supported
IBM watsonx.data integration
Not Supported
MySQL
Not Supported
|
|||||
|
|
|