IBM Netezza Performance Server vs. SAP Business Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Netezza Performance Server
Score 7.5 out of 10
N/A
Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).N/A
SAP BW
Score 8.6 out of 10
N/A
SAP Business Warehouse, or SAP BW (formerly SAP NetWeaver Business Warehouse) is SAP's legacy data warehouse solution, now superseded by SAP BW/4HANA, and the SAP Data Warehouse Cloud which was launched in 2019. SAP BW versions up to 7.4 have reached end of maintenance. SAP BW 7.5 support is extended to align with SAP Business Suite with NetWeaver components. For existing customers maintenance is scheduled to continue through 2027, with extended support available through 2030.N/A
Pricing
IBM Netezza Performance ServerSAP Business Warehouse
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Netezza Performance ServerSAP BW
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Netezza Performance ServerSAP Business Warehouse
Features
IBM Netezza Performance ServerSAP Business Warehouse
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Netezza Performance Server
-
Ratings
SAP Business Warehouse
8.5
Ratings
3% below category average
Multi-User Support (named login)00 Ratings9.50 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.50 Ratings
Single Sign-On (SSO)00 Ratings9.50 Ratings
Location-Based Data Governance00 Ratings6.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM Netezza Performance Server
-
Ratings
SAP Business Warehouse
8.7
Ratings
10% above category average
Data model creation00 Ratings8.70 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM Netezza Performance Server
-
Ratings
SAP Business Warehouse
5.4
Ratings
2% above category average
Visualization00 Ratings5.40 Ratings
Data Warehouse
Comparison of Data Warehouse features of Product A and Product B
IBM Netezza Performance Server
-
Ratings
SAP Business Warehouse
7.5
Ratings
2% below category average
High-Volume Data Processing00 Ratings7.90 Ratings
Data Warehouse Management00 Ratings9.00 Ratings
Administrative Automation00 Ratings7.50 Ratings
Self-Optimization00 Ratings5.60 Ratings
User Ratings
IBM Netezza Performance ServerSAP Business Warehouse
Likelihood to Recommend
9.3
(0 ratings)
8.4
(0 ratings)
User Testimonials
IBM Netezza Performance ServerSAP Business Warehouse
Likelihood to Recommend
Netezza Performance Server enhances the data scientist's ability to rapidly design, train, and deploy machine learning models in the database. Netezza Performance Server is essential for implementing cognitive machine learning, providing data scientists with in-database analytics, and enabling them to collaborate on a single platform. Netezza Performance Server supports the use of built-in Spark as well as Python and R for rapid and sophisticated data science and machine learning adoption at scale.
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SAP BW is best for: 1. Large enterprises 2. Enterprises with 3+ legacy systems with entrenched users (politically difficult to merge) 3. Enterprises with employees who can understand both the technical capabilities of SAP BW and the needs of the business users - ability to speak both languages, otherwise the program could be unwieldy and potentially underutilized (it's not particularly inexpensive) SAP BW is less appropriate for: 1. Small enterprises 2. Enterprises who have well established, same location, CRM and UFS - the integration of data analysis will be easier and less expensive with other solutions 3. HANA
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Pros
  • The speed of operations is really second to none
  • The data control aspect is really effective and very useful
  • Stability and no latency issues notices during operations
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  • ETL, great at taking data from OLTP source, flat file, etc... Easy drag and drop for transformations.
  • Great reporting possibilities, easy to connect with BO, BPC, etc...
  • Great Master Data Management (MDM )for BPC - helps us maintain master data for BPC.
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Cons
  • The cost is expensive for medium-sized and smaller companies.
  • IBM could bring back the technical account managers.
  • The procurement process is a hassle.
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  • Age of software is showing as it struggles with very large data modules, which were not as prevalent in its early years
  • Querying performance at times can be very slow
  • Support and development for BEx has been discontinued or hard to find.
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Usability
No answers on this topic
It needs minimal trainings and can perform tasks of data management and reporting.
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Alternatives Considered
With a simple user interface and
access to IBM's online instructions, Netezza Performance Server is easy to
operate. It also has built-in contribution facilities, as well as good customer
support, to make the DBA's job easier.
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SAP Business Warehouse scores higher in data warehouse functionalities for integration to SAP ERP and other SAP solutions such as SAP CRM, SAP APO, and SAP SRM. Standard SAP data source extractors which are available in SAP ERP can be used immediately for full or delta replication into SAP Business Warehouse. System governance in SAP Business Warehouse is top-notch with change management support for migration between system landscape from the development system to production system.
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Return on Investment
  • It allows us to work together simultaneously in the database to query our custom results.
  • It requires users to know the object name as it does not pop up in their text editor. Thus, users take more time in writing queries.
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  • It has helped cut down on parts shortages with the minimum stock flags.
  • People are able to track down parts easier because they can see where they were last used.
  • Our sales team has better visibility on lead times so they can accurately quote our customers.
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