IBM Db2 Warehouse on Cloud vs Microsoft Parallel Data Warehouse comparison

IBM Db2 Warehouse on Cloud vs. Microsoft Parallel 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

IBM Db2 Warehouse on Cloud

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (16th)

Microsoft Parallel Data War...

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (10th)

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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Ashok Bhadra

Associate Director at Sequentis

Provides flexible data handling and integrates easily but requires less frequent patch releases

Microsoft Parallel Data Warehouse keeps giving updates and new features. In my first consultancy, I transitioned a mortgage company from Oracle OBIEE to Microsoft Parallel Data Warehouse to greatly reduce the mortgage approval time. There's a feature that allows users to set alerts on triggers within reports, enabling timely actions on pending applications and effectively reducing waiting time. It extracts data from the ERP system, and we are doing extensive data analytics. The system handles target marketing for a company which does 85 to 90% of its business in wholesale. We have a variety of clients from mom-and-pop stores to big box stores, and we have intermediaries. We sell through approximately 13 retail channels including Etsy, our retail website, Faire, Wayfair, and Walmart. Each channel requires different types of inventory updates and packaging, which is managed automatically. A significant amount of development is done on Microsoft Parallel Data Warehouse where all these processes are automatically fed out and updated. We also conduct inventory analysis and aging analysis. We identify seasonal buyers, track their purchasing habits, and auto-trigger campaigns for them, sometimes offering discounts on various items. We've found that combining top-selling items with non-selling items can lead to increased sales, as people often buy additional items when they find one on sale.

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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 is stable when there is support from IBM."

"It will be MPP, so performance should improve."

"The performance is okay as long as the volume of queries is not too high."

"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."

"The most valuable features are the performance and usability."

"It is a stable solution...It is a scalable solution."

"It performs very well overall."

"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."

"The interface is very user-friendly."

"The most valuable feature for me is querying."

"We can store the data in a data lake for a very low cost."

"The most valuable feature is the business intelligence (BI) part of it."

More Microsoft Parallel Data Warehouse pros

Cons

"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."

"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."

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

"The product scalability needs improvement."

"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."

"The reporting for certain types of data needs to be improved."

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

"It needs more compatibility with common BI tools."

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

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

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

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."

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

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

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

"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."

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

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

"The solution is cost-effective."

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864,574 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

26%

Insurance Company

12%

Financial Services Firm

University

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...

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.

What is your primary use case for IBM Db2 Warehouse on Cloud?

Our primary use case is data storage and analytics.

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?

The patch releases are a concern. For a customer with tons of servers, frequent patches lead to required reboots, which interrupts business. It would be better to release patches less frequently, m...

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Product Reports

Cloud Data Warehouse

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Microsoft Parallel Data Warehouse

Download Microsoft Parallel Data Warehouse product report

Microsoft Parallel Data Warehouse 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

IBM Db2 Warehouse on Cloud vs. Microsoft Parallel Data Warehouse