Shipyard - Data Orchestration

Shipyard - Data Orchestration

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.
Shipyard - Data Orchestration image
etl data-pipelines workflow-automation data-orchestration

Shipyard: Open Source Data Orchestration Platform

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.

What is Shipyard - Data Orchestration?

Shipyard is an open source data orchestration and workflow automation platform designed to help teams easily build, schedule, orchestrate and monitor pipelines. It provides an intuitive graphical interface to visualize your data pipelines and comes with over 300 pre-built components and templates.

Key capabilities and benefits:

  • Graphical pipeline designer to visually create workflows
  • Drag-and-drop interface to connect data sources, transformation steps, targets
  • Schedule and orchestrate batch, streaming and event-driven pipelines
  • Out of the box components for file, database, messaging, API connections
  • Monitor pipeline runs with logs, metrics and alerts
  • Role based access control for team collaboration
  • Integrations with Kubernetes, Docker, AWS, GCP and other platforms
  • Active open source community with ~2 releases per month

With its code-free graphical interface and library of pre-built components, Shipyard can help simplify and accelerate the process of implementing data pipelines for use cases like ELT, ETL, data integration, workflow automation etc.

Shipyard - Data Orchestration Features

Features

  1. Graphical interface to design and monitor pipelines
  2. Support for Docker containers to run pipelines
  3. Built-in library of preconfigured containers
  4. Integration with Kubernetes for container orchestration
  5. Supports common data formats like JSON, CSV, Avro
  6. Built-in scheduler
  7. Role based access control
  8. REST API
  9. CLI access
  10. High availability mode

Pricing

  • Open Source

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


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