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Microsoft Parallel Data Warehouse vs Oracle Big Data Appliance comparison

Microsoft and Oracle are both solutions in the Data Warehouse category. Microsoft is ranked #11 with an average rating of 8.7, while Oracle is ranked #13 with an average rating of 8.0. Microsoft holds a 1.4% mindshare in Data Warehouse, compared to Oracle’s 1.6% mindshare. Additionally, 87% of Microsoft users are willing to recommend the solution, compared to 75% of Oracle users who would recommend it.
Microsoft Parallel Data War...
Read 39 Microsoft Parallel Data Warehouse reviews
  • 539 Views
  • 383 Comparison Views
87% willing to recommend
Oracle Big Data Appliance
Read 6 Oracle Big Data Appliance reviews
  • 434 Views
  • 347 Comparison Views
75% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

Microsoft Parallel Data Warehouse and Oracle Big Data Appliance are both data analytics and warehousing solutions. Oracle Big Data Appliance offers a broader set of features, potentially making it a more comprehensive choice for businesses despite its higher cost.

Features: Microsoft Parallel Data Warehouse integrates seamlessly with existing Microsoft systems, supports extensive data manipulation, and provides robust data integrity features. Oracle Big Data Appliance supports both Hortonworks and Cloudera Hadoop distributions, has Spark on YARN integration for faster processing, and offers enhanced language processing.

Room for Improvement: Microsoft Parallel Data Warehouse could benefit from expanding its support for non-Microsoft ecosystems, enhancing scalability options, and improving data processing speeds. Oracle Big Data Appliance could improve user accessibility for non-technical users, simplify its extensive feature set, and provide more resources for faster deployment.

Ease of Deployment and Customer Service: Microsoft Parallel Data Warehouse integrates easily with other Microsoft products, simplifying deployment and leveraging quick customer service. Oracle Big Data Appliance, albeit complex, compensates with high-quality support to assist through deployment and usage challenges.

Pricing and ROI: Microsoft Parallel Data Warehouse is known for cost-effectiveness, providing competitive ROI especially for businesses keen on budget efficiency. Oracle Big Data Appliance, though more expensive, is seen as a beneficial long-term investment due to its extensive features, which can translate into significant ROI.

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To learn more, read our detailed Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance Report (Updated: August 2025).
Buyer's Guide
Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance
August 2025
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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
11th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
39
Ranking in other categories
No ranking in other categories
Oracle Big Data Appliance
Ranking in Data Warehouse
13th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 1.4%, up from 1.0% compared to the previous year. The mindshare of Oracle Big Data Appliance is 1.6%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Microsoft Parallel Data Warehouse1.4%
Oracle Big Data Appliance1.6%
Other97.0%
Data Warehouse
 

Featured Reviews

HassanFatemi - PeerSpot reviewer
Has handled large volumes of data effectively but still needs cost flexibility
There could be improvements on the cost side of Microsoft Parallel Data Warehouse because it is still considered to be quite expensive by a lot of users, and many companies are not interested in solutions with parallel data warehousing due to this expense. Addressing the cost would be the number one area for improvement. Additionally, I have not worked recently with it, so I don't know if this feature already exists, but if it doesn't, having an elastic feature that adjusts the service's power dynamically based on the workload would be beneficial instead of fixing the power at a specific level.
Read full review
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.
Read full review

Quotes from Members

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

Pros

"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The interface is very user-friendly."
"Data collection and reporting are valuable features of the solution."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The solution's integration is good."
"The biggest advantage of Microsoft Parallel Data Warehouse is the possibility to stop or pause the service because it can be very expensive, and the ability to pause the service when I don't use it is probably the main feature, along with the possibility to handle huge amounts of data, which is quite an interesting capability of the service."
"The most valuable feature for me is querying."
"The stability and ease of use of Microsoft Parallel Data Warehouse are valuable features."
More Microsoft Parallel Data Warehouse pros
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
"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."
 

Cons

"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."
"The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business."
"It needs more compatibility with common BI tools."
"The reporting for certain types of data needs to be improved."
"The product scalability needs improvement."
"It could be made more user-friendly for business users which would increase the user base."
"The ETL designing process could be optimized for better efficiency."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
More Microsoft Parallel Data Warehouse cons
"The product should be simplified for the average user."
"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."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
 

Pricing and Cost Advice

"Technical support is an additional fee and is expensive."
"They offer an annual subscription. The pricing depends on the size of the environments."
"The tool could be expensive if we need to manage a lot of data."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"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 solution is cost-effective."
"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."
"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
23%
Insurance Company
13%
Financial Services Firm
9%
Performing Arts
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise21
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
 

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.
See all answers
What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse is very expensive.
See all answers
What needs improvement with Microsoft Parallel Data Warehouse?
The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business. It would be better to release patches less frequently, m...
See all answers
What needs improvement with Oracle Big Data Appliance?
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...
See all answers
What is your primary use case for Oracle Big Data Appliance?
The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...
See all answers
 

Comparisons

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Compared 38% of the time
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Teradata vs Microsoft Parallel Data Warehouse
Compared 36% of the time
Oracle Exadata vs Microsoft Parallel Data Warehouse Logo
Oracle Exadata vs Microsoft Parallel Data Warehouse
Compared 26% of the time
More Microsoft Parallel Data Warehouse Competitors
Oracle Exadata vs Oracle Big Data Appliance Logo
Oracle Exadata vs Oracle Big Data Appliance
Compared 100% of the time
More Oracle Big Data Appliance Competitors
 

Product Reports

Buyer's Guide
Microsoft Parallel Data Warehouse
August 2025
Microsoft Parallel Data Warehouse reportDownload Microsoft Parallel Data Warehouse product report
Buyer's Guide
Data Warehouse
August 2025
Oracle Big Data Appliance reportDownload Oracle Big Data Appliance product report
 

Also Known As

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

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.

Microsoft

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Oracle
 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Caixa Bank
Buyer's Guide
Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance
August 2025
Free Report: Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance
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