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

6.7

Number of Reviews

Ranking in other categories

Data Warehouse (10th)

Oracle Autonomous Data Ware...

Average Rating

8.4

Reviews Sentiment

7.2

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 performs very well overall."

"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."

"The solution has been reliable."

"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."

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

"The most valuable feature for me is querying."

"The interface is very user-friendly."

"It handles high volumes of data very well."

More Microsoft Parallel Data Warehouse pros

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

"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."

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

"The solution integrates well with Power BI."

"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."

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

More Oracle Autonomous Data Warehouse pros

Cons

"The product does not have all of the features that the native products have."

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

"This solution would be improved with an option for in-memory data analysis."

"When there are many users or many expensive queries, it can be very slow."

"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."

"SQL installation is pretty tricky. The scalability and customer support also should be improved."

"I would like the ability to do more real-time type updates instead of batch-oriented updates."

"It could offer more development across the solution."

More Microsoft Parallel Data Warehouse cons

"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."

"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."

"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."

"Optimization should be better."

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

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

"Ease of connectivity could be improved."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

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

"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."

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

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

"The solution is cost-effective."

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

"The solution's cost is reasonable."

"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."

"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."

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

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Insurance Company

13%

Financial Services Firm

Manufacturing Company

Computer Software Company

10%

Manufacturing Company

University

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	21

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	11

Questions from the Community

What do you like most about Microsoft Parallel Data Warehouse?

Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.

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?

What do you like most about Oracle Autonomous Data Warehouse?

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...

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.

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Compared 9% of the time

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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

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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