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IBM Db2 Warehouse on Cloud vs Microsoft Parallel Data Warehouse comparison

IBM and Microsoft are both solutions in the Data Warehouse category. Additionally, 85% of IBM users are willing to recommend the solution, compared to 87% of Microsoft users who would recommend it.
IBM Db2 Warehouse on Cloud
Read 7 IBM Db2 Warehouse on Cloud reviews
  • 646 Views
  • 304 Comparison Views
85% willing to recommend
Microsoft Parallel Data War...
Read 40 Microsoft Parallel Data Warehouse reviews
  • 991 Views
  • 694 Comparison Views
87% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between IBM Db2 Warehouse on Cloud and Microsoft Parallel Data Warehouse based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse Report (Updated: January 2026).
Buyer's Guide
IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse
January 2026
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Helped 881,733 peers since 2012

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

IBM Db2 Warehouse on Cloud
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
Cloud Data Warehouse (15th)
Microsoft Parallel Data War...
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
Data Warehouse (12th)
 

Featured Reviews

FM
FarhanFarhan
Database Engineer at Meezan Bank
Enhancing analytics with seamless data dumping and reliable support
Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…
Read full review
HassanFatemi - PeerSpot reviewer
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.
Read full review

Quotes from Members

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

Pros

"It is stable when there is support from IBM."
"It will be MPP, so performance should improve."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
"The performance is okay as long as the volume of queries is not too high."
"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."
"The most valuable feature for me is querying."
"I'm very pro Microsoft because I think Microsoft products are highly intuitive and are widely used."
"We can store the data in a data lake for a very low cost."
"Its scalability is impressive as it scales up and down really well, we go from a couple of users to tons of users all the time, and it scales and handles things really well."
"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."
"It is very strong, scalable, and has tons of features."
"Data collection and reporting are valuable features of the solution."
More Microsoft Parallel Data Warehouse pros
 

Cons

"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."
"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."
"Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution."
"The solution is expensive and has room for improvement."
"The reporting for certain types of data needs to be improved."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The product scalability needs improvement."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The product must provide more frequent updates."
"It needs more compatibility with common BI tools."
More Microsoft Parallel Data Warehouse cons
 

Pricing and Cost Advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
"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."
"All the features that we use do not require any additional subscription or yearly fees."
"They offer an annual subscription. The pricing depends on the size of the environments."
"Technical support is an additional fee and is expensive."
"The solution is cost-effective."
"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."
"The solution's pricing is fairly decent for organizations with huge data sizes."
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881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Marketing Services Firm
15%
Insurance Company
11%
Manufacturing Company
10%
Performing Arts
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise22
 

Questions from the Community

What advice do you have for others considering IBM Db2 Warehouse on Cloud?
Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...
See all answers
What needs improvement with IBM Db2 Warehouse on Cloud?
There are some limitations in adding data files to table spaces, and improvements are needed for regional support.
See all answers
What is your primary use case for IBM Db2 Warehouse on Cloud?
Our primary use case is data storage and analytics.
See all answers
What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse is very expensive.
See all answers
What needs improvement with Microsoft Parallel Data Warehouse?
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 so...
See all answers
What is your primary use case for Microsoft Parallel Data Warehouse?
For the last 10 to 12 years, I've worked as a data engineer on different projects, and in some of them, we have used Microsoft Parallel Data Warehouse. It's something that I've worked on and off fo...
See all answers
 

Comparisons

Amazon Redshift vs IBM Db2 Warehouse on Cloud Logo
Amazon Redshift vs IBM Db2 Warehouse on Cloud
Compared 22% of the time
Databricks vs IBM Db2 Warehouse on Cloud Logo
Databricks vs IBM Db2 Warehouse on Cloud
Compared 11% of the time
Azure Data Factory vs IBM Db2 Warehouse on Cloud Logo
Azure Data Factory vs IBM Db2 Warehouse on Cloud
Compared 10% of the time
VMware Tanzu Data Solutions vs IBM Db2 Warehouse on Cloud Logo
VMware Tanzu Data Solutions vs IBM Db2 Warehouse on Cloud
Compared 10% of the time
Apache Hadoop vs IBM Db2 Warehouse on Cloud Logo
Apache Hadoop vs IBM Db2 Warehouse on Cloud
Compared 6% of the time
More IBM Db2 Warehouse on Cloud Competitors
Oracle Exadata vs Microsoft Parallel Data Warehouse Logo
Oracle Exadata vs Microsoft Parallel Data Warehouse
Compared 15% of the time
Teradata vs Microsoft Parallel Data Warehouse Logo
Teradata vs Microsoft Parallel Data Warehouse
Compared 13% of the time
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse Logo
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse
Compared 11% of the time
biGENIUS vs Microsoft Parallel Data Warehouse Logo
biGENIUS vs Microsoft Parallel Data Warehouse
Compared 9% of the time
Oracle Autonomous Data Warehouse vs Microsoft Parallel Data Warehouse Logo
Oracle Autonomous Data Warehouse vs Microsoft Parallel Data Warehouse
Compared 7% of the time
More Microsoft Parallel Data Warehouse Competitors
 

Product Reports

Buyer's Guide
Cloud Data Warehouse
January 2026
IBM Db2 Warehouse on Cloud reportDownload IBM Db2 Warehouse on Cloud product report
Buyer's Guide
Microsoft Parallel Data Warehouse
January 2026
Microsoft Parallel Data Warehouse reportDownload Microsoft Parallel Data Warehouse product report
 

Also Known As

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

Overview

IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

IBM

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
 

Sample Customers

Copenhagen Business School, BPM Northwest, GameStop
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Buyer's Guide
IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse
January 2026
Free Report: IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse
Find out what your peers are saying about IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse and other solutions. Updated: January 2026.
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881,733 professionals have used our research since 2012.
See our IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse report.
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We monitor all 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.