Apache ServiceMix
Apache Karaf
rkt
GlusterFS
Apache Camel
REX-Ray
Sheepdog
Apache Edgent
Apache Airflow
Make.com
ifttt
Microsoft Power Automate
Pipefy
Pushwoosh
Kissflow
Process Street
Apache ServiceMix Apache AirflowApache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
No Apache ServiceMix videos yet. You could help us improve this page by suggesting one.
Based on our record, Apache Airflow seems to be a lot more popular than Apache ServiceMix. While we know about 75 links to Apache Airflow, we've tracked only 1 mention of Apache ServiceMix. 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.
It wasn't "great" mind you but it was "different" to what I was used too (https://servicemix.apache.org/) one interesting thing with this is that it's a monolith approach but each service was constructed as a loadable package. Source: about 2 years ago
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 3 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 4 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 5 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.
Make.com - Tool for workflow automation (Former Integromat)
rkt - App Container runtime
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
GlusterFS - GlusterFS is a scale-out network-attached storage file system.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
