Compare Microsoft Parallel Data Warehouse vs. SAP BW/4HANA

Microsoft Parallel Data Warehouse is ranked 13th in Data Warehouse with 2 reviews while SAP BW/4HANA which is ranked 17th in Data Warehouse with 2 reviews. Microsoft Parallel Data Warehouse is rated 4.6, while SAP BW/4HANA is rated 7.0. The top reviewer of Microsoft Parallel Data Warehouse writes "Concurrency issues forced the customer to use the raw DB as a secondary solution". On the other hand, the top reviewer of SAP BW/4HANA writes "Good technical support but the reporting performance is very poor". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata, whereas SAP BW/4HANA is most compared with Snowflake, Microsoft Azure SQL Data Warehouse and Amazon Redshift.
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Most Helpful Review
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359,759 professionals have used our research since 2012.
Quotes From Members

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

Pros
It handles high volumes of data very well.​It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.​

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The processes are the most valuable aspect of this solution.The most valuable feature is that it's robust.

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Cons
It needs more compatibility with common BI tools.​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.

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I cannot integrate it with my other tools. It's not possible to do something in the predictive analysis. Mobile reporting is also not available.

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Ranking
13th
out of 30 in Data Warehouse
Views
6,784
Comparisons
2,310
Reviews
2
Average Words per Review
116
Avg. Rating
4.5
17th
out of 30 in Data Warehouse
Views
562
Comparisons
516
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 37% of the time.
Compared 21% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Microsoft
SAP
Overview

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.

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Learn more about Microsoft Parallel Data Warehouse
Learn more about SAP BW/4HANA
Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Information Not Available
Find out what your peers are saying about Oracle, Teradata, Micro Focus and others in Data Warehouse. Updated: August 2019.
359,759 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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