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

736 Views
331 Comparison Views

85% willing to recommend

Microsoft Parallel Data War...

Read 40 Microsoft Parallel Data Warehouse reviews

1,177 Views
824 Comparison Views

87% willing to recommend

IBM Db2 Warehouse on Cloud

Microsoft Parallel Data War...

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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.

To learn more, read our detailed IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse Report (Updated: March 2026).

Buyer's Guide

IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse

March 2026

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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

IBM Db2 Warehouse on Cloud

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (15th)

Microsoft Parallel Data War...

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (12th)

Featured Reviews

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…

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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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Quotes from Members

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

Pros

"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 will be MPP, so performance should improve."

"It is stable when there is support from IBM."

"The interface is very user-friendly."

"Tools like the BI and SAS are excellent."

"The interface is very user-friendly."

"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."

"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."

"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 of this solution is performance."

"This is a great product for big data analytics as it can challenge other MPPs quite well."

More Microsoft Parallel Data Warehouse pros

Cons

"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."

"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."

"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."

"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."

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

"Unlike other MPPs, such as Netezza, this requires excellent expertise in SQL to reap the benefits of using it."

"Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution."

"We'd like to see it be a bit more compatible with other solutions."

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

"The pricing could be better; I think it actually just went up."

"The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business."

"It is expensive. SQL Data Warehouse is not supported by all versions of SQL Server such as the Express version and therefore becomes unavailable to many limiting its acquisition and use."

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."

"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."

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

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

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

"The solution is cost-effective."

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

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Top Industries

By visitors reading reviews

No data available

Marketing Services Firm

14%

Manufacturing Company

Insurance Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	6
Large Enterprise	22

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...

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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?

The pricing could be better; I think it actually just went up.

See all answers

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.

See all answers

Comparisons

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Compared 19% of the time

Snowflake vs IBM Db2 Warehouse on Cloud

Compared 10% of the time

VMware Tanzu Data Solutions vs IBM Db2 Warehouse on Cloud

Compared 9% of the time

Databricks vs IBM Db2 Warehouse on Cloud

Compared 9% of the time

IBM Db2 Warehouse vs IBM Db2 Warehouse on Cloud

Compared 8% of the time

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Oracle Exadata vs Microsoft Parallel Data Warehouse

Compared 11% of the time

Teradata vs Microsoft Parallel Data Warehouse

Compared 9% of the time

biGENIUS vs Microsoft Parallel Data Warehouse

Compared 7% of the time

VMware Tanzu Data Solutions vs Microsoft Parallel Data Warehouse

Compared 6% of the time

Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse

Compared 5% of the time

More Microsoft Parallel Data Warehouse Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

February 2026

Download IBM Db2 Warehouse on Cloud product report

Buyer's Guide

Microsoft Parallel Data Warehouse

March 2026

Microsoft Parallel Data Warehouse report

Download 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

March 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: March 2026.

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