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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 #12 with an average rating of 8.4, while Oracle is ranked #14 with an average rating of 8.0. Microsoft holds a 1.7% mindshare in Data Warehouse, compared to Oracle’s 2.0% 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
  • 785 Views
  • 557 Comparison Views
87% willing to recommend
Oracle Big Data Appliance
Read 6 Oracle Big Data Appliance reviews
  • 544 Views
  • 441 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: December 2025).
Buyer's Guide
Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance
December 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
12th
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
14th
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 January 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 1.7%, up from 0.8% compared to the previous year. The mindshare of Oracle Big Data Appliance is 2.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Microsoft Parallel Data Warehouse1.7%
Oracle Big Data Appliance2.0%
Other96.3%
Data Warehouse
 

Featured Reviews

HassanFatemi - PeerSpot reviewer
HassanFatemi
CEO at Smart Data-Driven Solutions
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
reviewer1031826 - PeerSpot reviewer
reviewer1031826
Analytics Lead at a tech vendor with 10,001+ employees
Platinum partnership leverages advanced storage and fosters seamless data integration
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 than even one-fourth or one-fifth of the Oracle price. For my side, the last time I worked with Oracle was in '21, '22. The price is a challenge that they have to look after. From the storage and data management perspective, I cannot recall anything that they have to improve, but they have to improve the visualization part significantly because they offer Oracle BI, which is an extremely not-matured application.
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

"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."
"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 is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"I'm very pro Microsoft because I think Microsoft products are highly intuitive and are widely used."
"The solution has been reliable."
"It is not a pricey product compared to other data warehouse solutions."
"It is a very stable database."
More Microsoft Parallel Data Warehouse pros
"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."
"The best feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."
 

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."
"This solution would be improved with an option for in-memory data analysis."
"We'd like to see it be a bit more compatible with other solutions."
"The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business."
"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."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution."
"We find the cost of the solution to be a little high."
More Microsoft Parallel Data Warehouse cons
"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."
"The product should be simplified for the average user."
 

Pricing and Cost Advice

"Technical support is an additional fee and is expensive."
"The solution is cost-effective."
"The tool could be expensive if we need to manage a lot of data."
"All the features that we use do not require any additional subscription or yearly fees."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"They offer an annual subscription. The pricing depends on the size of the environments."
"I think the program is well-priced compared to the other offerings that are out in the market."
"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
20%
Insurance Company
10%
Performing Arts
7%
University
7%
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?
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 so...
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 24% of the time
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Compared 17% of the time
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Compared 12% of the time
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Compared 11% of the time
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Oracle Exadata vs Oracle Big Data Appliance Logo
Oracle Exadata vs Oracle Big Data Appliance
Compared 37% of the time
IBM Integrated Analytics System vs Oracle Big Data Appliance Logo
IBM Integrated Analytics System vs Oracle Big Data Appliance
Compared 20% of the time
Teradata vs Oracle Big Data Appliance Logo
Teradata vs Oracle Big Data Appliance
Compared 15% of the time
Apache Hadoop vs Oracle Big Data Appliance Logo
Apache Hadoop vs Oracle Big Data Appliance
Compared 15% of the time
SAP Business Warehouse vs Oracle Big Data Appliance Logo
SAP Business Warehouse vs Oracle Big Data Appliance
Compared 15% of the time
More Oracle Big Data Appliance Competitors
 

Product Reports

Buyer's Guide
Microsoft Parallel Data Warehouse
December 2025
Microsoft Parallel Data Warehouse reportDownload Microsoft Parallel Data Warehouse product report
Buyer's Guide
Data Warehouse
December 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
December 2025
Free Report: Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance
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