Spring Batch
Apache Airflow
Apache Spark
Apache Kylin
Databricks
Control-M
Microsoft Power BI
AWS Glue
Azkaban
Apache Airflow
Metaflow
Luigi
Jenkins
RunDeck
Apache Oozie
Portainer
Spring Batch AzkabanBased on our record, Azkaban should be more popular than Spring Batch. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Batch jobs? Absolutely. https://spring.io/projects/spring-batch. Source: about 2 years ago
Spring Boot: is my go to for REST APIs or workers https://spring.io/projects/spring-boot Spring Batch: for async/batch work https://spring.io/projects/spring-batch. - Source: Hacker News / almost 3 years ago
Not sure if https://azkaban.github.io/ would fit your use case. Source: about 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: about 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: about 2 years ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
Apache Kylin - OLAP Engine for Big Data
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
