11 herramientas sustituyen a Apache Airflow
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Workflows declared in YAML, with tasks in any language and event triggers.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Workflows as plain Python functions with decorators, without DAG files.
Workflow Engine for Kubernetes
Workflows declared as Kubernetes resources, each step a container, instead of Python DAGs.
An orchestration platform for the development, production, and observation of data assets.
Orchestration around data assets, with lineage and a local UI.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Workflows drawn in a web UI or written with a Python SDK, with multi-tenant scheduling.
Luigi 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.
Pipelines of Python tasks with dependencies, started by cron rather than a scheduler of its own.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Schedules and runs workflows written as code.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Pipelines built from Python, SQL and R blocks in a notebook-style editor, with scheduling.
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
Typed, containerised Python workflows on Kubernetes, aimed at ML and data pipelines.
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
Workflows as YAML DAGs run from a single binary with a web UI, without a database.
Maestro: Netflix’s Workflow Orchestrator
Netflix's workflow orchestrator, with workflows in JSON, foreach loops and parameters set at run time.
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