Shipyard - Data Orchestration vs Azkaban

Struggling to choose between Shipyard - Data Orchestration and Azkaban? Both products offer unique advantages, making it a tough decision.

Shipyard - Data Orchestration is a Ai Tools & Services solution with tags like etl, data-pipelines, workflow-automation, data-orchestration.

It boasts features such as Graphical interface to design and monitor pipelines, Support for Docker containers to run pipelines, Built-in library of preconfigured containers, Integration with Kubernetes for container orchestration, Supports common data formats like JSON, CSV, Avro, Built-in scheduler, Role based access control, REST API, CLI access, High availability mode and pros including Open source and free to use, Intuitive graphical interface, Docker integration provides portability, Kubernetes support for scalability, Active community support.

On the other hand, Azkaban is a Ai Tools & Services product tagged with workflow, scheduler, hadoop, jobs, open-source.

Its standout features include Web-based workflow scheduler, Allows creating, managing and monitoring workflows, Built-in authentication and authorization, Supports workflow dependencies, Provides execution logs and metrics, Plugin system for extensibility, Alerting and failure handling, and it shines with pros like Open source and free, Easy to use interface, Scalable and reliable, Integrates well with Hadoop, Good documentation and community support.

Feature	Shipyard - Data Orchestration	Azkaban
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Shipyard - Data Orchestration

Description: Shipyard is an open source data orchestration platform that allows you to easily build and manage pipelines for ETL, data integration, and workflow automation. It provides a graphical interface to visualize your pipelines.

Azkaban

Description: Azkaban is an open source workflow scheduler created at LinkedIn to run Hadoop jobs. It allows users to easily create, schedule and monitor workflows made up of different jobs. Azkaban provides a web interface and scheduling capabilities to manage dependencies between jobs.

Key Features Comparison

Shipyard - Data Orchestration Features

• Graphical interface to design and monitor pipelines
• Support for Docker containers to run pipelines
• Built-in library of preconfigured containers
• Integration with Kubernetes for container orchestration
• Supports common data formats like JSON, CSV, Avro
• Built-in scheduler
• Role based access control
• REST API
• CLI access
• High availability mode

Azkaban Features

• Web-based workflow scheduler
• Allows creating, managing and monitoring workflows
• Built-in authentication and authorization
• Supports workflow dependencies
• Provides execution logs and metrics
• Plugin system for extensibility
• Alerting and failure handling

Pros & Cons Analysis

Shipyard - Data Orchestration

Pros

• Open source and free to use
• Intuitive graphical interface
• Docker integration provides portability
• Kubernetes support for scalability
• Active community support

Cons

• Limited native support for big data platforms
• Steep learning curve for advanced features
• Not as feature rich as commercial ETL tools

Azkaban

Pros

• Open source and free
• Easy to use interface
• Scalable and reliable
• Integrates well with Hadoop
• Good documentation and community support

Cons

• Limited visualization and monitoring
• Steep learning curve for advanced features
• Not ideal for real-time workflows
• No commercial support offered

Pricing Comparison

Shipyard - Data Orchestration

• Open Source

Azkaban

• Open Source