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 8.3, while Oracle is ranked #14 with an average rating of 8.0. Microsoft holds a 2.4% mindshare in Data Warehouse, compared to Oracle’s 2.5% 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 40 Microsoft Parallel Data Warehouse reviews

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694 Comparison Views

87% willing to recommend

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

678 Views
509 Comparison Views

75% willing to recommend

Microsoft Parallel Data War...

Oracle Big Data Appliance

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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.

To learn more, read our detailed Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance Report (Updated: March 2026).

Buyer's Guide

Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance

March 2026

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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

6.6

Number of Reviews

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 2.4%, up from 0.7% compared to the previous year. The mindshare of Oracle Big Data Appliance is 2.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Microsoft Parallel Data Warehouse	2.4%
Oracle Big Data Appliance	2.5%
Other	95.1%

Data Warehouse

Featured Reviews

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

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.

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Quotes from Members

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

Pros

"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 not a pricey product compared to other data warehouse solutions."

"Tools like the BI and SAS are excellent."

"The stability and ease of use of Microsoft Parallel Data Warehouse are valuable features."

"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."

"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."

"We have complete control over our data."

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."

"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."

"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."

Cons

"The solution is expensive and has room for improvement."

"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."

"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."

"The product scalability needs improvement."

"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."

"The ETL designing process could be optimized for better efficiency."

"The pricing could be better; I think it actually just went up."

"The product must provide more frequent updates."

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

"All the features that we use do not require any additional subscription or yearly fees."

"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'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."

"The solution is cost-effective."

"The tool could be expensive if we need to manage a lot of data."

"I think the program is well-priced compared to the other offerings that are out in the market."

"Oracle's prices are too high compared to others in the market."

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Top Industries

By visitors reading reviews

Marketing Services Firm

15%

Manufacturing Company

10%

University

Performing Arts

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	6
Large Enterprise	22

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

Questions from the Community

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 pricing could be better; I think it actually just went up.

See all answers

What is your primary use case for Microsoft Parallel Data Warehouse?

The basic use case for us is virtual machines. In real estate, we use it for our operations. They handle large data sets well, and the performance is good during those times.

See all answers

What needs improvement with Oracle Big Data Appliance?

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

Oracle Exadata vs Microsoft Parallel Data Warehouse

Compared 10% of the time

Teradata vs Microsoft Parallel Data Warehouse

Compared 9% of the time

biGENIUS vs Microsoft Parallel Data Warehouse

Compared 7% of the time

VMware Tanzu Data Solutions vs Microsoft Parallel Data Warehouse

Compared 7% of the time

IBM Db2 Warehouse vs Microsoft Parallel Data Warehouse

Compared 4% of the time

More Microsoft Parallel Data Warehouse Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 13% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 12% of the time

Teradata vs Oracle Big Data Appliance

Compared 8% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 8% of the time

Amazon EMR vs Oracle Big Data Appliance

Compared 5% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Microsoft Parallel Data Warehouse

February 2026

Microsoft Parallel Data Warehouse report

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Buyer's Guide

Data Warehouse

February 2026

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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

March 2026

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