ActiveBatch
Stonebranch
Control-M
JAMS Scheduler
OpCon
Cleo Integration Cloud
vCloud Director
GlobalSCAPE Enhanced File Transfer
Apache Airflow
Make.com
ifttt
Microsoft Power Automate
Pipefy
Pushwoosh
Kissflow
Process Street
Orchestrate your entire tech stack with ActiveBatch Workload Automation and Enterprise Job Scheduling. Build and centralize end-to-end workflows under a single pane of glass. Seamlessly manage systems, applications, and services across your organization. Eliminate manual workflows with ActiveBatch so you can focus on higher value activities that drive your company forward.
Limitless Endpoints: Use native integrations and our low-code REST API adapter to connect to any server, any application, any service.
Proactive Support Model: 24/7- US-based support and predictive diagnostics.
Low Code Drag-and-Drop GUI: Easily build reliable, customizable, end-to-end processes.
ActiveBatch 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.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 79 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.
There is a lot of stuff for Python which follows the "express computation as a dag" approach, especially Apache Airflow https://airflow.apache.org/. - Source: Hacker News / 4 days ago
Doing ingestion or data processing with Airflow, a very popular open-source platform for developing and running workflows, is a fairly common setup. DataHub's automatic lineage extraction works great with Airflow - provided you configure the Airflow connection to DataHub correctly. - Source: dev.to / about 2 months ago
Apache Airflow represents the open-source workflow orchestration approach to MongoDB ETL. By combining Airflow's powerful scheduling and dependency management with a Python library like PyMongo, you can build highly customized ETL workflows that integrate seamlessly with MongoDB. - Source: dev.to / 2 months ago
You appear to be making the mistake of assuming that the only valid definition for the term "workflow" is the definition used by software such as https://airflow.apache.org/ https://www.merriam-webster.com/dictionary/workflow thinks the word dates back to 1921. There no reason Anthropic can't take that word and present their own alternative definition for it in the context of LLM tool usage, which is what they've... - Source: Hacker News / 4 months 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 / 7 months ago
Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.
Make.com - Tool for workflow automation (Former Integromat)
Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
JAMS Scheduler - Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.
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.
