Compare Microsoft Parallel Data Warehouse vs. Oracle Autonomous Data Warehouse

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Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Amazon, Microsoft and others in Cloud Data Warehouse. Updated: July 2020.
431,275 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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Self-patching and runs machine-learning across its logs all the timeIt provides Transparent Data Encryption (TDE) capabilities by default to address data security issues.The analytics have been very good. We've found them to be quite useful.I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system.I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW.Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets.

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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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Ease of connectivity could be improved.One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace.Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable.I would like to see an on-premise solution in the future.I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end.An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud.

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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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ROI is high.The cost is perfect with Oracle Universal credit.

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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
5th
Views
2,811
Comparisons
1,884
Reviews
6
Average Words per Review
493
Avg. Rating
8.8
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.

Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.

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Learn more about Microsoft Parallel Data Warehouse
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Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropeHertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Top Industries
REVIEWERS
Computer Software Company30%
Comms Service Provider10%
Healthcare Company10%
Hospitality Company10%
VISITORS READING REVIEWS
Computer Software Company34%
Financial Services Firm8%
Comms Service Provider7%
Media Company7%
VISITORS READING REVIEWS
Computer Software Company66%
Comms Service Provider8%
Construction Company4%
Media Company4%
Find out what your peers are saying about Snowflake Computing, Amazon, Microsoft and others in Cloud Data Warehouse. Updated: July 2020.
431,275 professionals have used our research since 2012.
Microsoft Parallel Data Warehouse is ranked 7th in Data Warehouse with 9 reviews while Oracle Autonomous Data Warehouse is ranked 5th in Cloud Data Warehouse with 6 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Oracle Autonomous Data Warehouse is rated 8.8. 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 Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure SQL Data Warehouse, Oracle Exadata, Snowflake, VMware Tanzu Greenplum and Teradata, whereas Oracle Autonomous Data Warehouse is most compared with Microsoft Azure SQL Data Warehouse, Snowflake, Amazon Redshift, Teradata and Apache Hadoop.

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