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Microsoft Parallel Data Warehouse pros and cons

Vendor: Microsoft
3.9 out of 5
1,421 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Microsoft Parallel Data Warehouse handles high volumes of data efficiently and supports fast data loads and real-time analysis.
Customer service and technical support are highly satisfactory.
The performance and usability of Microsoft Parallel Data Warehouse are highly valued, making it reliable and scalable.
Data collection and integration with business intelligence tools like BI and SAS are powerful features.
It integrates well with other Microsoft products and offers good firewall processing and data integrity features.

CONS

Microsoft Parallel Data Warehouse has limited compatibility with common BI tools and solutions.
Concurrent queries are restricted to 32, which limits its functionality as an active data warehouse.
More frequent feature updates are needed, as updates on the on-premise version are slow.
The tool is expensive, with high costs posing issues for users and businesses seeking cost-effective solutions.
Large datasets cause performance lags, leading to inefficiency during large query operations.
 

Microsoft Parallel Data Warehouse Pros review quotes

MS
May 4, 2020
Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it.
it_user1352403 - PeerSpot reviewer
Aug 27, 2020
It is not a pricey product compared to other data warehouse solutions.
reviewer1212726 - PeerSpot reviewer
Nov 20, 2019
I am very satisfied with the customer service/technical support.
Learn what your peers think about Microsoft Parallel Data Warehouse. Get advice and tips from experienced pros sharing their opinions. Updated: June 2025.
860,592 professionals have used our research since 2012.
Albert Lacerda - PeerSpot reviewer
Mar 9, 2023
The UI is very simple and functional for my clients, most of the clients that use the solution are not experts.
Ashok Bhadra - PeerSpot reviewer
Jun 20, 2025
I'm very pro Microsoft because I think Microsoft products are highly intuitive and are widely used.
MJ
Dec 9, 2019
One of the most important features is the ease of using MS SQL.
PALAK SURI - PeerSpot reviewer
Aug 1, 2023
It is a stable solution...It is a scalable solution.
reviewer2255670 - PeerSpot reviewer
Aug 11, 2023
We can store the data in a data lake for a very low cost.
AN
Dec 15, 2019
The most valuable feature is the business intelligence (BI) part of it.
SG
Aug 15, 2022
The solution has been reliable.
 

Microsoft Parallel Data Warehouse Cons review quotes

MS
May 4, 2020
I would like the tool to support different operating systems.
it_user1352403 - PeerSpot reviewer
Aug 27, 2020
It could be made more user-friendly for business users which would increase the user base.
reviewer1212726 - PeerSpot reviewer
Nov 20, 2019
In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating.
Learn what your peers think about Microsoft Parallel Data Warehouse. Get advice and tips from experienced pros sharing their opinions. Updated: June 2025.
860,592 professionals have used our research since 2012.
Albert Lacerda - PeerSpot reviewer
Mar 9, 2023
The solution is expensive and has room for improvement.
Ashok Bhadra - PeerSpot reviewer
Jun 20, 2025
The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business.
MJ
Dec 9, 2019
I think that the error messages need to be made more specific.
PALAK SURI - PeerSpot reviewer
Aug 1, 2023
The only issue with the product is that the process is very slow when we have a huge amount of data.
reviewer2255670 - PeerSpot reviewer
Aug 11, 2023
The product does not have all of the features that the native products have.
AN
Dec 15, 2019
This solution would be improved with an option for in-memory data analysis.
SG
Aug 15, 2022
We'd like to see it be a bit more compatible with other solutions.