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IBM Integrated Analytics System vs Microsoft Parallel Data Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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 Integrated Analytics Sy...
Ranking in Data Warehouse
21st
Average Rating
8.0
Reviews Sentiment
7.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Microsoft Parallel Data War...
Ranking in Data Warehouse
10th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
38
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Warehouse category, the mindshare of IBM Integrated Analytics System is 1.0%, up from 0.8% compared to the previous year. The mindshare of Microsoft Parallel Data Warehouse is 1.1%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

it_user258975 - PeerSpot reviewer
They deliver a canned, scalable solution, but I would like to see the TSA scripts available publicly.
With a solid DB2 foundation, it performs incredibly and I recently implemented the new BLU Acceleration, and was dumbfounded that hour-long queries took minutes, in the correct scenario, of course. From a consultant point of view, I can step in and immediately know the system. I do not…
Ashok Bhadra - PeerSpot reviewer
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.
report
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
25%
Insurance Company
12%
Financial Services Firm
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
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...
 

Also Known As

Smart Analytics System, IBM Smart Analytics System
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
 

Overview

 

Sample Customers

WIdO AOK, EEKA Fashion, SSGC, GS Retail
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: July 2025.
865,140 professionals have used our research since 2012.