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NetWeaver Process Integration

NetWeaver Process Integration

Overview

What is NetWeaver Process Integration?

SAP NetWeaver Process Integration is an application integration solution.

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Recent Reviews

SAP PIPO

7 out of 10
February 18, 2020
Incentivized
NetWeaver Process Integration is being used as an integration layer between SAP applications is our landscape. It's being used by our …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Product Demos

SAP PO Online Training - sap xi pi online training | free demo video

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SAP PI - 05 - SAP PI Demo

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SAP HCM and SuccessFactors Biz X Compensation Integration RDS Demo

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Product Details

What is NetWeaver Process Integration?

NetWeaver Process Integration Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(11)

Attribute Ratings

Reviews

(1-2 of 2)
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February 18, 2020

SAP PIPO

Score 7 out of 10
Vetted Review
Verified User
Incentivized
NetWeaver Process Integration is being used as an integration layer between SAP applications is our landscape. It's being used by our department only. PO has built-in integration with SAP, and that why it's our preferred choice to integrate SAP applications. It's also being used as a gateway to exchange files on file-based integrations.
  • Integration between SAP applications
  • Supports Active directory integration.
  • Has limitations on consuming different types of Queues. Like JMS queue.
  • Has limitations on datatypes and size of the message in the queue
  • Have limitations in connecting to Kafka. This can be solved with 3rd party adapters
  • Have limitations on processing large files.
I would recommend using NetWeaver Process Integration with an SAP application only. SAP ISU/ECC can integrate with the PO very well to interact with non-SAP systems. It's best suited for extracting data from SAP systems into flat files, encrypt it, and sFTP to any 3rd party vendor.
Data Source Connection (2)
25%
2.5
Connect to traditional data sources
50%
5.0
Connecto to Big Data and NoSQL
N/A
N/A
Data Transformations (2)
85%
8.5
Simple transformations
100%
10.0
Complex transformations
70%
7.0
Data Modeling (5)
16%
1.6
Data model creation
N/A
N/A
Metadata management
N/A
N/A
Business rules and workflow
80%
8.0
Collaboration
N/A
N/A
Testing and debugging
N/A
N/A
Data Governance (2)
N/A
N/A
Integration with data quality tools
N/A
N/A
Integration with MDM tools
N/A
N/A
  • Development cycle is fast on PO .
It works great for integrating SAP applications. Without the box connectors and integration flows, the speed of development is fast. However, It has challenges in connecting other non-sap applications.
Onur Demir | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is being used by the finance department where I work as a consultant. It helps us by enabling application-to-application and business-to-business processes. It provides one platform to manage, design, configure, and execute business processes and use shared collaboration knowledge based on open standards. It also allows integration of SAP applications and third party components by seamlessly connecting SAP and non-SAP applications.
  • Combined advantages of advanced business application programming (ABAP) and Java
  • SAP with [other] SAP products and SAP with other solutions
  • Real-time customer service
  • Cascade data model
  • Non-user-friendly monitoring
  • Integration between SAP and non-SAP [products] is not easy
I recommend it for manufacturing companies, retailers and logistics operators that use technologies such as barcode readers, RFID or mobile terminals where instant data exchange with the central SAP ERP system plays a key role. If you are going to use it for connecting SAP and non-SAP applications, you need to think twice.
Data Source Connection (2)
85%
8.5
Connect to traditional data sources
90%
9.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
80%
8.0
Simple transformations
80%
8.0
Complex transformations
80%
8.0
Data Modeling (5)
80%
8.0
Data model creation
80%
8.0
Metadata management
70%
7.0
Business rules and workflow
100%
10.0
Collaboration
90%
9.0
Testing and debugging
60%
6.0
Data Governance (2)
75%
7.5
Integration with data quality tools
70%
7.0
Integration with MDM tools
80%
8.0
  • It reduces integration costs.
  • It has real-time customer service which is perfect.
  • It has combined advantages of ABAP and Java.
  • It's built on open standards.
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