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

"The data transmissions between the data models is the most valuable feature."

"SQL Data Warehouse provides our organization with a way to access all corporate data in a uniform way."

"It is a stable solution...It is a scalable solution."

"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."

"The most valuable feature is the business intelligence (BI) part of it."

"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."

"The initial setup was straightforward."

"We have complete control over our data."

More Microsoft Parallel Data Warehouse pros

"Self-patching and runs machine-learning across its logs all the time"

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

"The analytics have been very good. We've found them to be quite useful."

"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."

"The product has self-repair features."

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

"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."

More Oracle Autonomous Data Warehouse pros

Cons

"The reporting for certain types of data needs to be improved."

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

"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."

"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."

"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."

"The ETL designing process could be optimized for better efficiency."

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

"They need to incorporate a machine learning engine."

More Microsoft Parallel Data Warehouse cons

"I would like to see an on-premise solution in the future."

"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."

"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."

"A lot of the tools that were previously there have now been taken away."

"The setup is complex."

"Ease of connectivity could be improved."

"The initial setup was pretty complex. It was not easy."

More Oracle Autonomous Data Warehouse cons

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."

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

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

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

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

"The solution is cost-effective."

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

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

"The solution is 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."

"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."

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

"The cost is perfect with Oracle Universal credit."

"The price depends on the configuration we choose."

"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."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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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.

Oracle Exadata vs Microsoft Parallel Data Warehouse

Comparisons

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Compared 24% of the time

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Compared 16% of the time

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Compared 12% of the time

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Compared 9% of the time

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Compared 2% of the time

More Oracle Autonomous Data Warehouse Competitors

Product Reports

Microsoft Parallel Data Warehouse

Download Microsoft Parallel Data Warehouse product report

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