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Microsoft Analytics Platform System vs Oracle Autonomous Data Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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 Analytics Platfor...
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Warehouse (19th)
Oracle Autonomous Data Ware...
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
Cloud Data Warehouse (11th)
 

Featured Reviews

MahmoudMohamed1 - PeerSpot reviewer
Senior Data Engineer at Tatweer Educational Technologies Company - TETCO
Offers smooth data integration between systems, but requires better real-time analytics capabilities
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees. Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.
reviewer1297710 - PeerSpot reviewer
IT Administrator at a manufacturing company with 1,001-5,000 employees
Analytics and data security needs are met but optimization requires improvement
We are using Oracle Autonomous Data Warehouse for analytics in my company The solution is used for analytics and it works for our data security needs. We continue to use it with satisfaction. Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not…

Quotes from Members

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

Pros

"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"I like that it's integrated with other Azure products."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"It is closely integrated with other products in the MS portfolio."
"This is a well-integrated solution and that integration empowers results."
"Helps our customers to discover trends, which provides useful information based on their business."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"It is a very stable tool...It is an extremely scalable tool."
"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The product is easy to use."
 

Cons

"We need better real-time analytics capabilities. It's a bit challenging for us."
"Microsoft Analytics Platform System could have better support."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"​Hybrid environments are complex to manage."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"The pricing model needs to be improved."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"The initial setup was pretty complex. It was not easy."
"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."
"The solution lacks visibility options."
"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."
"A lot of the tools that were previously there have now been taken away."
"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."
"I would like to see an on-premise solution in the future."
"The setup is complex."
 

Pricing and Cost Advice

"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Users have to pay extra for premium-level technical support."
"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."
"You pay as you go, and you don't pay for services that you don't use."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"The solution's cost is reasonable."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
10%
Computer Software Company
8%
Media Company
8%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise11
 

Questions from the Community

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What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
What is your primary use case for Oracle Autonomous Data Warehouse?
We are using Oracle Autonomous Data Warehouse for analytics in my company.
 

Also Known As

Microsoft APS, MS Analytics Platform System
No data available
 

Overview

 

Sample Customers

Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about Microsoft Analytics Platform System vs. Oracle Autonomous Data Warehouse and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.