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What is Azkaban?

Azkaban is a distributed workflow management system created by LinkedIn to tackle the challenges related to Hadoop job dependencies. We encountered situations where jobs needed to run in a specific order, which spanned various applications from ETL processes to data analytics. Following the launch of version 3.0, we established two operational configurations: the standalone "solo-server" mode and the distributed multi-executor mode. The upcoming sections will clarify the differences between these two modes. In the solo server mode, the system utilizes the embedded H2 database, and both the web server and executor server run within the same process, making it suitable for small-scale applications or experimentation. In contrast, the multiple executor mode is designed for more serious production scenarios and necessitates a more sophisticated configuration with a MySQL database set up in a master-slave structure. To improve user experience, it is advisable for the web server and executor servers to operate on different hosts, which helps ensure that upgrades and maintenance do not interfere with service continuity. This architectural choice not only boosts the scalability of Azkaban but also enhances its resilience and efficiency when managing intricate workflows. Ultimately, these operational modes provide flexibility to users while meeting a variety of workflow demands.

What is Apache Gobblin?

A decentralized system for data integration has been created to enhance the management of Big Data elements, encompassing data ingestion, replication, organization, and lifecycle management in both real-time and batch settings. This system functions as an independent application on a single machine, also offering an embedded mode that allows for greater flexibility in deployment. Additionally, it can be utilized as a MapReduce application compatible with various Hadoop versions and provides integration with Azkaban for managing the execution of MapReduce jobs. The framework is capable of running as a standalone cluster with specified primary and worker nodes, which ensures high availability and is compatible with bare metal servers. Moreover, it can be deployed as an elastic cluster in public cloud environments, while still retaining its high availability features. Currently, Gobblin stands out as a versatile framework that facilitates the creation of a wide range of data integration applications, including ingestion and replication, where each application is typically configured as a distinct job, managed via a scheduler such as Azkaban. This versatility not only enhances the efficiency of data workflows but also allows organizations to tailor their data integration strategies to meet specific business needs, making Gobblin an invaluable asset in optimizing data integration processes.

Media

Media

Integrations Supported

Hadoop
IBM watsonx.data integration
MySQL

Integrations Supported

Hadoop

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Azkaban

Company Website

azkaban.github.io

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

gobblin.apache.org

Categories and Features

Data Pipeline

Not specified

Categories and Features

Big Data

Not specified

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