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Microsoft Parallel Data Warehouse vs SAP NetWeaver Business Warehouse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Parallel Data War...
Ranking in Data Warehouse
10th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
38
Ranking in other categories
No ranking in other categories
SAP NetWeaver Business Ware...
Ranking in Data Warehouse
14th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 1.1%, up from 1.1% compared to the previous year. The mindshare of SAP NetWeaver Business Warehouse is 0.3%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

Ashok Bhadra - PeerSpot reviewer
Provides flexible data handling and integrates easily but requires less frequent patch releases
Microsoft Parallel Data Warehouse keeps giving updates and new features. In my first consultancy, I transitioned a mortgage company from Oracle OBIEE to Microsoft Parallel Data Warehouse to greatly reduce the mortgage approval time. There's a feature that allows users to set alerts on triggers within reports, enabling timely actions on pending applications and effectively reducing waiting time. It extracts data from the ERP system, and we are doing extensive data analytics. The system handles target marketing for a company which does 85 to 90% of its business in wholesale. We have a variety of clients from mom-and-pop stores to big box stores, and we have intermediaries. We sell through approximately 13 retail channels including Etsy, our retail website, Faire, Wayfair, and Walmart. Each channel requires different types of inventory updates and packaging, which is managed automatically. A significant amount of development is done on Microsoft Parallel Data Warehouse where all these processes are automatically fed out and updated. We also conduct inventory analysis and aging analysis. We identify seasonal buyers, track their purchasing habits, and auto-trigger campaigns for them, sometimes offering discounts on various items. We've found that combining top-selling items with non-selling items can lead to increased sales, as people often buy additional items when they find one on sale.
Gebrehiwot Tesfay Gebreslassie - PeerSpot reviewer
Data modeling is a valuable feature but there are some issues with scalability
We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis. I'm the business intelligence senior developer and we are customers of SAP.  The data modeling is very valuable for us. There are performance issues in…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Data collection and reporting are valuable features of the solution."
"The solution has been reliable."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The interface is very user-friendly."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The solution's integration is good."
"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."
"The security and audit procedures are the most valuable features."
"Data modeling is a valuable feature."
"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"A robust and efficient product."
"It is a robust system."
"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."
"It's an excellent over-all tool for managers to analyze their business."
 

Cons

"A major issue is with table statistics. Sometimes the statistics are not refreshed correctly, which causes issues for us."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"When there are many users or many expensive queries, it can be very slow."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The query is slow if we don't optimize it."
"We'd like to see it be a bit more compatible with other solutions."
"The solution is expensive and has room for improvement."
"It could offer more development across the solution."
"There are performance issues in terms of scalability and availability."
"Design and modeling could be simplified."
"The product could provide more features."
"The program is difficult to learn to use"
"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."
"I think more integration with other applications would be perfect."
"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."
 

Pricing and Cost Advice

"Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
"The solution is cost-effective."
"They offer an annual subscription. The pricing depends on the size of the environments."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"The tool could be expensive if we need to manage a lot of data."
"All the features that we use do not require any additional subscription or yearly fees."
"I think the program is well-priced compared to the other offerings that are out in the market."
"Technical support is an additional fee and is expensive."
"Pricing is based on the number of user IDs and tyhe user ID works across a suite of products."
"All SAP products are expensive."
"The licensing cost is high for SAP NetWeaver compared to that for other products."
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Top Industries

By visitors reading reviews
Computer Software Company
28%
Financial Services Firm
16%
Insurance Company
9%
University
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
What needs improvement with Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution.
 

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse
 

Overview

 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
EMC Corporation, Takisada-Osaka Co. Ltd., Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Magazine zum Globus (Migros Group)
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. SAP NetWeaver Business Warehouse and other solutions. Updated: May 2025.
859,579 professionals have used our research since 2012.