Compare Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance

Microsoft Parallel Data Warehouse is ranked 7th in Data Warehouse with 9 reviews while Oracle Big Data Appliance is ranked 14th in Data Warehouse with 2 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, the top reviewer of Oracle Big Data Appliance writes "End-users can build the reports by themselves without really knowing anything about databases". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure SQL Data Warehouse, Oracle Exadata, Snowflake, VMware Tanzu Greenplum and IBM Db2 Warehouse, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, IBM Integrated Analytics System, Teradata and IBM Netezza Performance Server. See our Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance report.
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Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance and other solutions. Updated: July 2020.
430,223 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
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.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.

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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.

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Cons
I would like the tool to support different operating systems.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.

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The product should be simplified for the average user.It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.

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

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430,223 professionals have used our research since 2012.
Ranking
7th
out of 32 in Data Warehouse
Views
2,634
Comparisons
1,930
Reviews
9
Average Words per Review
463
Avg. Rating
7.7
14th
out of 32 in Data Warehouse
Views
1,388
Comparisons
1,083
Reviews
2
Average Words per Review
477
Avg. Rating
8.0
Popular Comparisons
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 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

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Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropeCaixa Bank
Top Industries
REVIEWERS
Computer Software Company30%
Comms Service Provider10%
Healthcare Company10%
Hospitality Company10%
VISITORS READING REVIEWS
Computer Software Company35%
Financial Services Firm8%
Comms Service Provider7%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company62%
Comms Service Provider7%
Real Estate/Law Firm5%
K 12 Educational Company Or School5%
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Oracle Big Data Appliance and other solutions. Updated: July 2020.
430,223 professionals have used our research since 2012.

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