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Description
Azkaban serves as a distributed Workflow Manager developed by LinkedIn to address the complexities of Hadoop job dependencies. There were instances where jobs required a specific order of execution, ranging from ETL processes to data analysis applications. Following the release of version 3.0, Azkaban offers two distinct operational modes: the standalone “solo-server” mode and the distributed multiple-executor mode. The solo-server mode utilizes an embedded H2 database, allowing both the web server and executor server to operate within the same process, making it ideal for initial experimentation or small-scale applications. In contrast, the multiple-executor mode is designed for serious production environments, requiring a MySQL database configured with a master-slave arrangement. Ideally, the web server and executor servers are hosted on separate machines to ensure that system upgrades and maintenance do not disrupt user experience. This configuration not only enhances Azkaban’s robustness but also significantly improves its scalability, making it suitable for larger, more complex workflows. By offering these two modes, Azkaban caters to a wide range of user needs, from casual experimentation to enterprise-level deployments.
Description
A comprehensive eCommerce tracking plugin that includes premium event coverage, compatibility options, and dedicated support is available. Additionally, a lightweight, self-hosted cookie and consent banner integrates seamlessly with Google Consent Mode v2, providing an affordable server GTM hosting solution enriched with robust extensions. Services like tracking audits, complete installations, and customized setups are offered to meet specific needs. Users can choose between a bottom bar or a central modal view to enhance their website's user experience. To ensure compliance, an opaque “wall” can be activated, restricting user interactions until consent is granted. Leveraging native Google Tag Manager consent mode features, such as the consent overview screen and extra consent checks, guarantees that all tags comply with the established policy. Users gain full control over each item on the consent list, can set default values, and specify whether consent is mandatory. Furthermore, the settings view, which can be accessed via a link added to the page footer, allows users to individually select each type of consent required, enhancing both flexibility and user engagement. This level of customization not only fosters trust but also aligns with evolving privacy regulations.
API Access
Has API
API Access
Has API
Integrations
Google Analytics
Google Tag Manager
Hadoop
IBM watsonx.data integration
MySQL
PrestaShop
Shopify
WooCommerce
Integrations
Google Analytics
Google Tag Manager
Hadoop
IBM watsonx.data integration
MySQL
PrestaShop
Shopify
WooCommerce
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
Azkaban
Website
azkaban.github.io
Vendor Details
Company Name
Tag Pilot
Country
United Kingdom
Website
tagpilot.io
Product Features
Product Features
Consent Management Platforms
Additional Users / Permissions
Automatic Cookie-Blocking
CCPA Compliance
CMS Integration
Cookie Crawling
Design/Branding Customization
Fingerprinting
GDPR Compliance
IAB Compliance
Reporting / Analytics
Responsive Design
Subdomains Compatibility
Tag Manager Integration
Whitelabel Solution
Tag Management
Custom Tags
Error Checking
Event Tracking
Policy Management
Roles / Permissions
Rules-Driven Tag Execution
Synchronous / Asynchronous Tags
Tag Library
Tag Variable Mapping
Version Control