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Microsoft Parallel Data Warehouse vs Oracle Exadata 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:
 

ROI

Sentiment score
6.9
Organizations value ROI from Microsoft Parallel Data Warehouse but see opportunities for improvement, citing efficient data management and integration.
Sentiment score
6.6
Oracle Exadata offers up to 300% ROI with significant cost savings and efficiencies, despite a learning curve.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
6.8
Customer service for Microsoft Parallel Data Warehouse is positive, with knowledgeable support but some desire faster, Azure-savvy assistance.
Sentiment score
6.6
Oracle Exadata customer service is praised for improvements but faces challenges with response times and support system navigation.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.1
Microsoft Parallel Data Warehouse is generally scalable, though limitations exist compared to Snowflake and BigQuery, especially with large data.
Sentiment score
7.6
Oracle Exadata provides scalable solutions with efficient resource management, though some users face challenges with cross-generation upgrades.
Within a site, scalability is excellent.
 

Stability Issues

Sentiment score
7.9
Microsoft Parallel Data Warehouse is stable, reliable, handles large datasets well, and is appreciated for quick issue resolution.
Sentiment score
7.8
Oracle Exadata is highly stable and reliable, with minimal downtime and high-availability features praised by users.
Once installed, Exadata is very stable.
 

Room For Improvement

Microsoft Parallel Data Warehouse needs improved integration, performance, scalability, error messaging, and real-time update capabilities to meet modern data demands.
Oracle Exadata's high cost, licensing complexity, and technical issues reduce appeal, with users seeking better integration and support.
When there are many users or many expensive queries, it can be very slow.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
 

Setup Cost

Microsoft Parallel Data Warehouse is cost-effective for large organizations with Azure, but may be expensive for on-premises setups.
High costs reflect Oracle Exadata's performance benefits; enterprises value integrated components and negotiate discounts for large-scale deployments.
 

Valuable Features

Microsoft Parallel Data Warehouse offers enhanced performance, integration with Microsoft tools, and supports big data management for business intelligence.
Oracle Exadata enhances performance and efficiency with features like Smart Scan and Flash Cache, offering high availability and scalability.
The interface is very user-friendly.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
 

Categories and Ranking

Microsoft Parallel Data War...
Ranking in Data Warehouse
10th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
35
Ranking in other categories
No ranking in other categories
Oracle Exadata
Ranking in Data Warehouse
2nd
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
127
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 0.9%, down from 1.3% compared to the previous year. The mindshare of Oracle Exadata is 19.3%, up from 18.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Q&A Highlights

it_user104457 - PeerSpot reviewer
Apr 13, 2014
 

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…
Arun Kumarasamy - PeerSpot reviewer
A highly scalable solution that has the best technology and is designed for huge database workloads
It's an entire hardware box where the software and the hardware combination can fasten our queries for the database. The tool has an intelligent cell server where the data is processed at the storage layer rather than the server layer. The tool supports our big data analytics and data warehousing needs. It is the best solution for OLTP and data warehousing. Oracle has the best database technology in the world. Exadata is the best hardware machine designed for huge database workloads along with OLTP.
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Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
831,997 professionals have used our research since 2012.
 

Answers from the Community

it_user104457 - PeerSpot reviewer
Apr 13, 2014
Apr 13, 2014
I think hands down it's Exadata since for the front end apps it's just another Oracle database which means everything under the sun is compatible with it.
2 out of 3 answers
it_user89046 - PeerSpot reviewer
Apr 10, 2014
Given we partner with many or all of the above, or can get to them as we access all data, I have the following opinion - InfoBright is very new and probable to be sold long term. It is also an expensive subscription so presents highest risk to me. Exidata is Oracle - if you like Oracle and their style, it maybe ok, but then it is Oracle. Microsoft is Microsoft - tends to be cheap to acquire and expensive to implement and maintain. Teradata is pricey but of the group presents the least risk and the greatest number of front end partners. The product I represent is unique as it is designed for high complexity large numbers of users and data and runs inside Teradata taking better advantage of the architecture. Disclosure: I work for Information Builders
it_user3309 - PeerSpot reviewer
Apr 10, 2014
You are asking about front end tools but you do not mention which ones. What you have are "database backends" and each has different features. The utilization will depend on what kind of expertise you have available else you will end up trying to implement say, Teradata on Exadata which may not give you the best solution. What are your criteria for success? Based on these you will have to evaluate each solution -- I am sure each vendor will be happy to set up the environment and work with your set of sampl,e data to show you have they evaluate against your criteria.
 

Top Industries

By visitors reading reviews
Computer Software Company
29%
Financial Services Firm
19%
Insurance Company
9%
Government
6%
Financial Services Firm
30%
Computer Software Company
12%
Manufacturing Company
6%
Government
5%
 

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?
When there are many users or many expensive queries, it can be very slow.
What do you like most about Oracle Exadata?
It is the best solution for OLTP and data warehousing.
What is your experience regarding pricing and costs for Oracle Exadata?
The pricing of Exadata is high. It is more expensive than usual, making it suitable only for big enterprises or businesses that can afford it.
What needs improvement with Oracle Exadata?
Also considered an advantage, the main drawback is the inability to cluster two Exadata systems across sites. For example, with one node on one site and another node on a different site, I cannot c...
 

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
PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Exadata and other solutions. Updated: January 2025.
831,997 professionals have used our research since 2012.