Try our new research platform with insights from 80,000+ expert users

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 86% of Microsoft users who would recommend it.
IBM Db2 Warehouse on Cloud
Read 7 IBM Db2 Warehouse on Cloud reviews
  • 145 Views
  • 113 Comparison Views
85% willing to recommend
Microsoft Parallel Data War...
Read 37 Microsoft Parallel Data Warehouse reviews
  • 324 Views
  • 208 Comparison Views
86% willing to recommend
 

Comparison Buyer's Guide

Download the report
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.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse Report (Updated: April 2025).
Buyer's Guide
IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse
April 2025
Download the complete report
Helped 849,963 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 (16th)
Microsoft Parallel Data War...
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
Data Warehouse (10th)
 

Featured Reviews

FM
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
StevenLai - PeerSpot reviewer
Strong scalable solution with streamlined metadata warehousing
We use it to build our data warehouse and databases, and everything in the back end It helps streamline our metadata warehousing process. As it is our only type of data warehouse and database, it serves as our source, destination, and staging area. This product has many features which are useful…
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 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."
"It is stable when there is support from IBM."
"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."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The most valuable features are the performance and usability."
"The most valuable feature is the business intelligence (BI) part of it."
"The most valuable feature for me is querying."
"It handles high volumes of data very well."
"Tools like the BI and SAS are excellent."
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."
"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."
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."
"We find the cost of the solution to be a little high."
"The solution is expensive and has room for improvement."
"The product scalability needs improvement."
"I would like the tool to support different operating systems."
"When there are many users or many expensive queries, it can be very slow."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"A major issue is with table statistics. Sometimes the statistics are not refreshed correctly, which causes issues for us."
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."
"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."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"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."
"All the features that we use do not require any additional subscription or yearly fees."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
See recommendations
849,963 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Computer Software Company
30%
Financial Services Firm
16%
Insurance Company
10%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
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?
Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution.
See all answers
 

Comparisons

Oracle Exadata vs IBM Db2 Warehouse on Cloud Logo
Oracle Exadata vs IBM Db2 Warehouse on Cloud
Compared 34% of the time
IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud Logo
IBM Netezza Performance Server vs IBM Db2 Warehouse on Cloud
Compared 34% of the time
Amazon Redshift vs IBM Db2 Warehouse on Cloud Logo
Amazon Redshift vs IBM Db2 Warehouse on Cloud
Compared 32% of the time
More IBM Db2 Warehouse on Cloud Competitors
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse Logo
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse
Compared 53% of the time
Teradata vs Microsoft Parallel Data Warehouse Logo
Teradata vs Microsoft Parallel Data Warehouse
Compared 47% of the time
More Microsoft Parallel Data Warehouse Competitors
 

Product Reports

Buyer's Guide
Cloud Data Warehouse
April 2025
IBM Db2 Warehouse on Cloud reportDownload IBM Db2 Warehouse on Cloud product report
Buyer's Guide
Microsoft Parallel Data Warehouse
April 2025
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
April 2025
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: April 2025.
DOWNLOAD NOW
849,963 professionals have used our research since 2012.
See our IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

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.