Compare Microsoft Parallel Data Warehouse vs. Oracle Exadata

Microsoft Parallel Data Warehouse is ranked 7th in Data Warehouse with 10 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 7 reviews. Microsoft Parallel Data Warehouse is rated 7.0, while Oracle Exadata is rated 9.0. The top reviewer of Microsoft Parallel Data Warehouse writes "It's well-priced, extremely stable and the technical support is very good". On the other hand, the top reviewer of Oracle Exadata writes "Exadata can significantly improve performance but there's a learning curve in a few key areas". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata, whereas Oracle Exadata is most compared with Teradata, Netezza and Oracle Database Appliance. See our Microsoft Parallel Data Warehouse vs. Oracle Exadata report.
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Most Helpful Review
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Exadata and other solutions. Updated: January 2020.
390,245 professionals have used our research since 2012.
Quotes From Members

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

Pros
We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it.The most valuable feature is the business intelligence (BI) part of it.The data transmissions between the data models is the most valuable feature.The most valuable feature of this solution is performance.One of the most important features is the ease of using MS SQL.The most valuable feature for me is querying.The most valuable features are the performance and usability.I am very satisfied with the customer service/technical support.

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Compression is a great feature, where one can really save a lot of storage.The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture.The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable.Our machine is used for our internal development of Oracle-based solutions, PoC benchmarking, and training/familiarization.

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Cons
If the database is large with a lot of columns then it is difficult to clean the data.This solution would be improved with an option for in-memory data analysis.The reporting for certain types of data needs to be improved.I think that the error messages need to be made more specific.I would like to see better visualization features.More tools to help designers should be included.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.It needs more compatibility with common BI tools.

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The technical support is in need of improvement.It's too expensive per terabyte. It's complex.We had issues with system restoration.We would like an option of a hardware-only support solution, but Oracle currently does not provide this.

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Pricing and Cost Advice
I think the program is well-priced compared to the other offerings that are out in the market.

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Exadata is an expensive tool, but, considering the ROI, it's worth going for the solution.The price is very high.I did note that Oracle does tend to internally oversize things especially if they want to fill up a budget, and hence third-party oversight is essential.

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Ranking
7th
out of 30 in Data Warehouse
Views
2,865
Comparisons
2,093
Reviews
10
Average Words per Review
359
Avg. Rating
7.0
2nd
out of 30 in Data Warehouse
Views
19,959
Comparisons
13,955
Reviews
7
Average Words per Review
642
Avg. Rating
9.0
Top Comparisons
Compared 23% of the time.
Compared 15% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Microsoft
Oracle
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.

Oracle Exadata Database Machine is a modern framework, engineered to run databases and to scale out database servers.

The main benefit of Exadata is speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors and data warehouses, while solving poor performances of old database architecture.

The Oracle Exadata Database Machine features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information. It is ideal for companies looking to build up their infrastructure from scratch.

For more information on Oracle Exadata Database Machine, visit Oracle.com

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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.
Top Industries
REVIEWERS
Software R&D Company30%
Pharma/Biotech Company10%
Manufacturing Company10%
Insurance Company10%
REVIEWERS
Financial Services Firm21%
Insurance Company16%
Comms Service Provider16%
Retailer11%
VISITORS READING REVIEWS
Software R&D Company45%
Financial Services Firm10%
Comms Service Provider7%
Media Company5%
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Exadata and other solutions. Updated: January 2020.
390,245 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.