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Microsoft Parallel Data Warehouse Reviews

Vendor: Microsoft
3.9 out of 5

What is Microsoft Parallel Data Warehouse?

Featured Microsoft Parallel Data Warehouse reviews

Microsoft Parallel Data Warehouse mindshare

As of August 2025, the mindshare of Microsoft Parallel Data Warehouse in the Data Warehouse category stands at 1.1%, down from 1.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Microsoft Parallel Data Warehouse1.1%
Oracle Exadata16.4%
Teradata15.2%
Other67.3%
Data Warehouse

PeerResearch reports based on Microsoft Parallel Data Warehouse reviews

TypeTitleDate
CategoryData WarehouseAug 29, 2025Download
ProductReviews, tips, and advice from real usersAug 29, 2025Download
ComparisonMicrosoft Parallel Data Warehouse vs SnowflakeAug 29, 2025Download
ComparisonMicrosoft Parallel Data Warehouse vs Oracle ExadataAug 29, 2025Download
ComparisonMicrosoft Parallel Data Warehouse vs TeradataAug 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Teradata4.115.2%87%76 interviewsAdd to research
Snowflake4.214.0%97%101 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

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Stability

Review data by company size

By reviewers
Company SizeCount
Small Business11
Midsize Enterprise5
Large Enterprise17
By reviewers
By visitors reading reviews
Company SizeCount
Small Business31
Midsize Enterprise13
Large Enterprise36
By visitors reading reviews

Top industries

By visitors reading reviews
Computer Software Company
24%
Insurance Company
13%
University
9%
Financial Services Firm
9%
Manufacturing Company
6%
Performing Arts
6%
Construction Company
5%
Government
5%
Retailer
5%
Non Profit
5%
Recreational Facilities/Services Company
4%
Healthcare Company
3%
Pharma/Biotech Company
3%
Media Company
1%
Comms Service Provider
1%
Logistics Company
1%
Educational Organization
1%
 
Microsoft Parallel Data Warehouse Reviews Summary
Author infoRatingReview Summary
Associate Director at Sequentis4.5I am a consultant and prefer Microsoft Parallel Data Warehouse for its intuitive integration and frequent feature updates. It significantly enhances data analytics, inventory management, and marketing processes, although frequent patch releases can disrupt business due to required server reboots.
Architecture at a manufacturing company with 10,001+ employees4.5I use Microsoft Parallel Data Warehouse for optimizing logistics SQL queries, specifically for truck loading and unloading. It's integrated with BI, mobile, and IoT solutions, proving valuable but expensive. Adjusting its pricing could enhance its appeal.
Sr. Data Engineer at Amrock4.5We utilize Microsoft Parallel Data Warehouse for building our data warehouse and databases, benefiting from its scalability and many features. However, table statistics need improvement, sometimes requiring manual updates. Despite this, it provides a 100% return on investment.
Computer engineer at a engineering company with 5,001-10,000 employees4.0I use Microsoft Parallel Data Warehouse to construct and manage a data warehouse through SQL queries. The interface is user-friendly and efficient, but performance slows significantly with many users or expensive queries. I have not tried any other similar solutions.
BI/Data Warehouse Analyst at a healthcare company with 501-1,000 employees4.0We primarily use Microsoft Parallel Data Warehouse with SQL Server and Visual Studio in the health industry. Its stability and ease of use are highlights, although the ETL process could be more efficient. The columnstore index enhances performance significantly.
Senior software developer at a tech services company with 1,001-5,000 employees4.0I use Microsoft Parallel Data Warehouse at the office to access data. Its integration and visualization with Power BI are convenient and cost-effective. However, deployment suffers from compatibility issues, requiring manual adjustments when upgrading packages from older versions.
CEO at BigxData4.0Microsoft Parallel Data Warehouse integrates well with tools like Power BI and Azure, offering efficient data management and return on investment. While its scalability could improve, its comprehensive features led us to choose it over other solutions.
Senior Software Engineer at Eurofins4.0In my company, we use Microsoft Parallel Data Warehouse to manage multi-location data loading in France. The SQL Server commands are invaluable for writing and calling stored procedures, though we've shifted to Azure Cloud for enhanced performance over SSIS.