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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
Resource Formation Service (RFS) simplifies the provisioning of cloud resources and application deployment by allowing you to use predefined templates. With its user-friendly graphical template designer and a wealth of free sample templates, creating custom templates becomes an intuitive process. You need only to specify the desired end state of your resources in the template, which alleviates the need for intricate operational tasks. There’s no requirement to install any software, set up an executor, or deal with the management of underlying files or data. The ability to drag resources to create an execution template significantly lowers the learning barrier for users. Additionally, visualized compliance control policies help mitigate security risks associated with changes to resources. Features such as resource deployment rollback, status querying, and operation tracing are also available to enhance usability. Furthermore, its compatibility with HCL syntax means you won’t face an additional learning curve. With just a single click, you can deploy or delete a template, making the process straightforward and efficient. This streamlined approach empowers users to focus more on their applications rather than the intricacies of resource management.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Hadoop
No
IBM watsonx.data integration
No
MySQL
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Azkaban
Website
azkaban.github.io
Vendor Details
Company Name
Huawei Cloud
Country
China
Website
www.huaweicloud.com/eu/product/aos.html