Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL.
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SAP BPM
Score 7.0 out of 10
N/A
SAP NetWeaver Business Process Management is a business process management offering and application infrastructure. It supports joint modeling of processes, central process execution via a Java-based engine, provision of interfaces for users, and integration of business rules into processes.
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Pricing
Apache Airflow
SAP NetWeaver BPM
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache Airflow
SAP BPM
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Apache Airflow
SAP NetWeaver BPM
Features
Apache Airflow
SAP NetWeaver BPM
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.7
12 Ratings
5% above category average
SAP NetWeaver BPM
-
Ratings
Multi-platform scheduling
9.312 Ratings
00 Ratings
Central monitoring
8.912 Ratings
00 Ratings
Logging
8.512 Ratings
00 Ratings
Alerts and notifications
9.312 Ratings
00 Ratings
Analysis and visualization
6.712 Ratings
00 Ratings
Application integration
9.412 Ratings
00 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Apache Airflow
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
25% above category average
Dashboards
00 Ratings
10.02 Ratings
Standard reports
00 Ratings
10.02 Ratings
Custom reports
00 Ratings
10.02 Ratings
Process Engine
Comparison of Process Engine features of Product A and Product B
Apache Airflow
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
18% above category average
Process designer
00 Ratings
10.02 Ratings
Process simulation
00 Ratings
10.02 Ratings
Business rules engine
00 Ratings
10.02 Ratings
SOA support
00 Ratings
10.02 Ratings
Process player
00 Ratings
10.02 Ratings
Support for modeling languages
00 Ratings
10.02 Ratings
Form builder
00 Ratings
10.02 Ratings
Model execution
00 Ratings
10.02 Ratings
Collaboration
Comparison of Collaboration features of Product A and Product B
Apache Airflow
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
18% above category average
Social collaboration tools
00 Ratings
10.02 Ratings
Content Management Capabilties
Comparison of Content Management Capabilties features of Product A and Product B
Airflow is well-suited for data engineering pipelines, creating scheduled workflows, and working with various data sources. You can implement almost any kind of DAG for any use case using the different operators or enforce your operator using the Python operator with ease. The MLOps feature of Airflow can be enhanced to match MLFlow-like features, making Airflow the go-to solution for all workloads, from data science to data engineering.
It is well suited when we need to integrate business processes with SAP ERP and SAP CRM - the solution can be integrated with business rules/procedures defined in SAP ERP/CRM and NetWeaver can be used to monitor the rules and flag off exceptions. When there are multiple workflows running, it tends to slow down running of these processes. Also, it entirely depends on SAP portal for it to run efficiently.
Apache Airflow is one of the best Orchestration platforms and a go-to scheduler for teams building a data platform or pipelines.
Apache Airflow supports multiple operators, such as the Databricks, Spark, and Python operators. All of these provide us with functionality to implement any business logic.
Apache Airflow is highly scalable, and we can run a large number of DAGs with ease. It provided HA and replication for workers. Maintaining airflow deployments is very easy, even for smaller teams, and we also get lots of metrics for observability.
UI/Dashboard can be updated to be customisable, and jobs summary in groups of errors/failures/success, instead of each job, so that a summary of errors can be used as a starting point for reviewing them.
Navigation - It's a bit dated. Could do with more modern web navigation UX. i.e. sidebars navigation instead of browser back/forward.
Again core functional reorg in terms of UX. Navigation can be improved for core functions as well, instead of discovery.
For its capability to connect with multicloud environments. Access Control management is something that we don't get in all the schedulers and orchestrators. But although it provides so many flexibility and options to due to python , some level of knowledge of python is needed to be able to build workflows.
We have our own tech support for systems, I would say they probably could use more training on it, I don't really think it's anything regarding the SAP system, but more the knowledge they have on the system itself. It seems to take longer for them to fix any issues we may come across.
Multiple DAGs can be orchestrated simultaneously at varying times, and runs can be reproduced or replicated with relative ease. Overall, utilizing Apache Airflow is easier to use than other solutions now on the market. It is simple to integrate in Apache Airflow, and the workflow can be monitored and scheduling can be done quickly using Apache Airflow. We advocate using this tool for automating the data pipeline or process.
I found the initial setup of NetWeaver is much simpler than other products especially in an SAP environment where we have SAP ERP/HRM/CRM as it can be well integrated with other SAP products. The only drawback is the need/dependency on SAP Portal. It is better suited in an environment where SAP ERP is running.
Impact Depends on number of workflows. If there are lot of workflows then it has a better usecase as the implementation is justified as it needs resources , dedicated VMs, Database that has a cost