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Microsoft Parallel Data Warehouse vs Oracle Big Data Appliance 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
37
Ranking in other categories
No ranking in other categories
Oracle Big Data Appliance
Ranking in Data Warehouse
19th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 0.8%, down from 1.1% compared to the previous year. The mindshare of Oracle Big Data Appliance is 1.1%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

StevenLai - PeerSpot reviewer
Strong scalable solution with streamlined metadata warehousing
We use it to build our data warehouse and databases, and everything in the back end It helps streamline our metadata warehousing process. As it is our only type of data warehouse and database, it serves as our source, destination, and staging area. This product has many features which are useful…
Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

Quotes from Members

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

Pros

"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."
"The interface is very user-friendly."
"We have complete control over our data."
"The most valuable features are the performance and usability."
"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."
"The data transmissions between the data models is the most valuable feature."
"It is very strong, scalable, and has tons of features."
"Tools like the BI and SAS are excellent."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
 

Cons

"The product does not have all of the features that the native products have."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"A major issue is with table statistics. Sometimes the statistics are not refreshed correctly, which causes issues for us."
"I think that the error messages need to be made more specific."
"They need to incorporate a machine learning engine."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"The product should be simplified for the average user."
 

Pricing and Cost Advice

"The solution's pricing is fairly decent for organizations with huge data sizes."
"Technical support is an additional fee and is expensive."
"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."
"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."
"The tool could be expensive if we need to manage a lot of data."
"They offer an annual subscription. The pricing depends on the size of the environments."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Computer Software Company
30%
Financial Services Firm
16%
Insurance Company
9%
Retailer
6%
Financial Services Firm
31%
Computer Software Company
15%
Government
10%
University
9%
 

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.
Ask a question
Earn 20 points
 

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
No data available
 

Overview

 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Caixa Bank
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance and other solutions. Updated: February 2025.
845,406 professionals have used our research since 2012.