Compare Microsoft Azure SQL Data Warehouse vs. Microsoft Parallel Data Warehouse

Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 10 reviews. Microsoft Azure SQL Data Warehouse is rated 7.8, while Microsoft Parallel Data Warehouse is rated 7.0. The top reviewer of Microsoft Azure SQL Data Warehouse writes "A good solution for simple data warehousing that scales well, but it needs better technical support". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "It's well-priced, extremely stable and the technical support is very good". Microsoft Azure SQL Data Warehouse is most compared with Snowflake, Amazon Redshift and SAP BW/4HANA, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Microsoft Azure SQL Data Warehouse.
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Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
396,515 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
The most valuable feature of the solution is the analytics and that it can connect with Power BI.The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.The most valuable feature is the scalability.The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.The initial setup was really easy and straightforward.

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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.I am very satisfied with the customer service/technical support.

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Cons
I would like my team to be able to build pipelines that integrate with the Azure Data Factory.I would like to see version control implemented into the data warehouse.The configuration for things like high-availability could be more user-friendly for non-technical users.I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.With respect to what needs to be improved, concurrent connectivity has some limitations.It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.

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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.It needs more compatibility with common BI tools.

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Pricing and Cost Advice
The licensing fees for this solution are on a pay-per-use basis, and not very expensive.When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.The pricing is okay. You can pay as you go.The price of this solution could be improved.

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

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Ranking
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
8th
out of 30 in Data Warehouse
Views
2,827
Comparisons
2,058
Reviews
10
Average Words per Review
359
Avg. Rating
7.0
Top Comparisons
Also Known As
Microsoft Azure SQL DW, Azure SQL Data WarehouseMicrosoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
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Microsoft
Microsoft
Overview

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

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.

Offer
Learn more about Microsoft Azure SQL Data Warehouse
Learn more about Microsoft Parallel Data Warehouse
Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Top Industries
VISITORS READING REVIEWS
Software R&D Company42%
Financial Services Firm9%
Comms Service Provider8%
Manufacturing Company5%
REVIEWERS
Software R&D Company30%
Pharma/Biotech Company10%
Manufacturing Company10%
Insurance Company10%
VISITORS READING REVIEWS
Software R&D Company16%
Comms Service Provider14%
Financial Services Firm14%
Wholesaler/Distributor8%
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
396,515 professionals have used our research since 2012.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.