Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
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SAP BPM
Score 7.0 out of 10
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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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Apache Kafka
SAP NetWeaver BPM
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Apache Kafka
SAP BPM
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Apache Kafka
SAP NetWeaver BPM
Features
Apache Kafka
SAP NetWeaver BPM
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Apache Kafka
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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 Kafka
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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 Kafka
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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
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
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.
Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
Learning curve around creation of broker and topics could be simplified
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
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.
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
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.
Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
Positive: it's scalable so we can develop small and scale for real-world scenarios
Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.