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  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Workflow Manager
  5. Kestra vs Shipyard

Kestra vs Shipyard

OverviewComparisonAlternatives

Overview

Shipyard
Shipyard
Stacks3
Followers4
Votes5
Kestra
Kestra
Stacks8
Followers14
Votes0
GitHub Stars22.9K
Forks2.2K

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Detailed Comparison

Shipyard
Shipyard
Kestra
Kestra

na

It is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.

-
Any kind of workflow; Easy to learn; Easy to extend; Any triggers; A rich user interface; Enjoy infinite scalability
Statistics
GitHub Stars
-
GitHub Stars
22.9K
GitHub Forks
-
GitHub Forks
2.2K
Stacks
3
Stacks
8
Followers
4
Followers
14
Votes
5
Votes
0
Pros & Cons
Pros
  • 1
    Massive library of integrations
  • 1
    No infrastructure to manage
  • 1
    Detailed alerts and logging
  • 1
    Easy to use
  • 1
    Workflows share data
No community feedback yet
Integrations
No integrations available
Clickhouse
Clickhouse
Vertica
Vertica
Elasticsearch
Elasticsearch
Amazon S3
Amazon S3
Kafka
Kafka
Yarn
Yarn
Terraform
Terraform
MongoDB
MongoDB
Google BigQuery
Google BigQuery
PostgreSQL
PostgreSQL

What are some alternatives to Shipyard, Kestra?

Airflow

Airflow

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

GitHub Actions

GitHub Actions

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

Apache Beam

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Zenaton

Zenaton

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Luigi

Luigi

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Unito

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

Flow-Like

Flow-Like

Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.

ETLR

ETLR

Production-grade workflow automation. No drag-and-drop required. Build, version, and deploy your workflows with YAML.

Vison AI

Vison AI

Hire AI Employees that deliver Human-Quality work. Automate repetitive tasks, scale effortlessly, and focus on business growth without increasing head count.

Page d'accueil

Page d'accueil

Thaink² Analytics, la plateforme data et IA de nouvelles génération pour gérer vos projets de bout-en-bout. Fini les pipelines de données instables, les modèles ML/IA qui restent au stade du POC.

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