"I found the following features very useful: DAG - Workload management and orchestration of tasks using."
"The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot."
"I like the UI rework, it's much easier."
"The product integrates well with other pipelines and solutions."
"We have been quite satisfied with the stability of the solution."
"The initial setup was straightforward and it does not take long to complete."
"Two things are excellent in Documentum. One is business process management. The other is its support for metadata."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult."
"I would like to see it more friendly for other use cases."
"Technical support is an area that needs improvement."
"The scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not."
"The dashboard is connected into the BPM flow that could be improved."
"In BPM could be better. Its GUI needs the ability to build more rules. This is a crucial feature. For example, OpenText has some products that allow you to control your checks, invoices, and so on. They have exciting approaches to converting pictures to text, but the tool for business process management isn't easy to use. The GIU is not so good."
Apache Airflow is an open-source workflow management system (WMS) that is primarily used to programmatically author, orchestrate, schedule, and monitor data pipelines as well as workflows. The solution makes it possible for you to manage your data pipelines by authoring workflows as directed acyclic graphs (DAGs) of tasks. By using Apache Airflow, you can orchestrate data pipelines over object stores and data warehouses, run workflows that are not data-related, and can also create and manage scripted data pipelines as code (Python).
Apache Airflow Features
Apache Airflow has many valuable key features. Some of the most useful ones include:
Apache Airflow Benefits
There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Apache Airflow solution.
A Senior Solutions Architect/Software Architect says, “The product integrates well with other pipelines and solutions. The ease of building different processes is very valuable to us. The difference between Kafka and Airflow, is that it's better for dealing with the specific flows that we want to do some transformation. It's very easy to create flows.”
An Assistant Manager at a comms service provider mentions, “The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.”
A Senior Software Engineer at a pharma/biotech company comments that he likes Apache Airflow because it is “Feature rich, open-source, and good for building data pipelines.”
Apache Airflow is ranked 8th in Business Process Management (BPM) with 6 reviews while Documentum xCelerated Composition Platform is ranked 43rd in Business Process Management (BPM) with 1 review. Apache Airflow is rated 8.0, while Documentum xCelerated Composition Platform is rated 0.0. The top reviewer of Apache Airflow writes "Integrates well with other pipelines and builds different processes well but the scalability needs improvement". On the other hand, the top reviewer of Documentum xCelerated Composition Platform writes "The metadata helps you retrieve and manage all the documents in your databases". Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM BPM, IBM Business Automation Workflow and Informatica Business Process Manager, whereas Documentum xCelerated Composition Platform is most compared with Appian, K2, Genpact Cora SeQuence, Camunda Platform and Adobe Experience Manager (AEM) Forms.
See our list of best Business Process Management (BPM) vendors.
We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.