Microsoft Parallel Data Warehouse vs Oracle Autonomous Data Warehouse comparison

Microsoft Parallel Data Warehouse vs. Oracle Autonomous Data Warehouse

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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 Parallel Data War...

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (12th)

Oracle Autonomous Data Ware...

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Featured Reviews

HassanFatemi

CEO at Smart Data-Driven Solutions

Has handled large volumes of data effectively but still needs cost flexibility

There could be improvements on the cost side of Microsoft Parallel Data Warehouse because it is still considered to be quite expensive by a lot of users, and many companies are not interested in solutions with parallel data warehousing due to this expense. Addressing the cost would be the number one area for improvement. Additionally, I have not worked recently with it, so I don't know if this feature already exists, but if it doesn't, having an elastic feature that adjusts the service's power dynamically based on the workload would be beneficial instead of fixing the power at a specific level.

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Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

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Quotes from Members

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

Pros

"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."

"The interface is very user-friendly."

"It is a very stable database."

"It handles high volumes of data very well."

"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."

"One of the most important features is the ease of using MS SQL."

"The interface is very user-friendly."

"The biggest advantage of Microsoft Parallel Data Warehouse is the possibility to stop or pause the service because it can be very expensive, and the ability to pause the service when I don't use it is probably the main feature, along with the possibility to handle huge amounts of data, which is quite an interesting capability of the service."

More Microsoft Parallel Data Warehouse pros

"The performance and scalability are awesome."

"The solution is used for analytics and it works for our data security needs."

"It is a stable and scalable solution."

"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."

"The product is easy to use."

"The solution is used for analytics and it works for our data security needs."

"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

"It is a very stable tool...It is an extremely scalable tool."

More Oracle Autonomous Data Warehouse pros

Cons

"We'd like to see it be a bit more compatible with other solutions."

"I think that the error messages need to be made more specific."

"They need to incorporate a machine learning engine."

"If the database is large with a lot of columns then it is difficult to clean the data."

"It could offer more development across the solution."

"It is expensive. SQL Data Warehouse is not supported by all versions of SQL Server such as the Express version and therefore becomes unavailable to many limiting its acquisition and use."

"The only issue with the product is that the process is very slow when we have a huge amount of data."

"It could be made more user-friendly for business users which would increase the user base."

More Microsoft Parallel Data Warehouse cons

"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."

"Ease of connectivity could be improved."

"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."

"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."

"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."

"We are not satisfied with the technical support. Their understanding is lacking."

"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."

"Oracle Autonomous Data Warehouse is not available as an on-premises solution."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"The solution is cost-effective."

"They offer an annual subscription. The pricing depends on the size of the environments."

"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."

"Technical support is an additional fee and is expensive."

"The tool could be expensive if we need to manage a lot of data."

"All the features that we use do not require any additional subscription or yearly fees."

"I think the program is well-priced compared to the other offerings that are out in the market."

"The solution's pricing is fairly decent for organizations with huge data sizes."

"ROI is high."

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"The solution is expensive."

"The solution's cost is reasonable."

"You pay as you go, and you don't pay for services that you don't use."

"The price depends on the configuration we choose."

"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."

"The cost is perfect with Oracle Universal credit."

More Oracle Autonomous Data Warehouse pricing and cost advice

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884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Marketing Services Firm

14%

Manufacturing Company

Performing Arts

Insurance Company

Manufacturing Company

10%

Media Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	6
Large Enterprise	22

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?

Microsoft Parallel Data Warehouse is very expensive.

What needs improvement with Microsoft Parallel Data Warehouse?

The pricing could be better; I think it actually just went up.

What is your primary use case for Microsoft Parallel Data Warehouse?

The basic use case for us is virtual machines. In real estate, we use it for our operations. They handle large data sets well, and the performance is good during those times.

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.

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Product Reports

Microsoft Parallel Data Warehouse

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Microsoft Parallel Data Warehouse report

Oracle Autonomous Data Warehouse

Download Oracle Autonomous Data Warehouse product report

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse

No data available

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.

Microsoft

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank

Microsoft Parallel Data Warehouse vs. Oracle Autonomous Data Warehouse