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Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 19, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.9
Most are satisfied with ROI, acknowledging its benefits, though improvements are possible, as it efficiently enhances backend operations.
Sentiment score
6.9
Users report significant ROI from OpenText Analytics Database due to enhanced analytics, performance, and data accessibility, despite its cost.
 

Customer Service

Sentiment score
6.8
Microsoft Parallel Data Warehouse support is responsive and expert, though users sometimes need online resources for faster solutions.
Sentiment score
7.0
OpenText Analytics Database customer service is praised for knowledgeable support, though some users report slow response and escalation needs.
 

Scalability Issues

Sentiment score
7.2
Microsoft Parallel Data Warehouse excels in scalability, integration, and expandability, though improvements are needed for large data sets.
Sentiment score
7.1
OpenText Analytics Database (Vertica) excels at scaling large data volumes but faces challenges with schema modifications and node additions.
I give the scalability an eight out of ten, indicating it scales well for our needs.
As a consultant, we hire additional programmers when we need to scale up certain major projects.
 

Stability Issues

Sentiment score
8.0
Microsoft Parallel Data Warehouse is praised for its stability, reliability, and quick issue resolution, despite time-consuming extensive dataset processing.
Sentiment score
7.1
OpenText Analytics Database (Vertica) is stable and robust, with minor query and network issues noted by users.
Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.
 

Room For Improvement

Microsoft Parallel Data Warehouse presents complexity, compatibility challenges, performance issues, high costs, and requires improved in-memory analysis and updates.
OpenText Analytics Database needs better workload management, documentation, SQL optimization, cloud support, machine learning, and cost efficiency.
It would be better to release patches less frequently, maybe once a month or once every two months.
When there are many users or many expensive queries, it can be very slow.
The ETL designing process could be optimized for better efficiency.
 

Setup Cost

Microsoft Parallel Data Warehouse's pricing varies by needs; Azure integration can be cost-effective, but technical support costs extra.
OpenText Analytics Database offers flexible pricing based on storage, with competitive costs, community edition, and negotiable licensing options.
Microsoft Parallel Data Warehouse is very expensive.
 

Valuable Features

Microsoft Parallel Data Warehouse offers performance, integration, flexibility, and cost-effectiveness for large data management and business intelligence.
OpenText Analytics Database offers rapid data processing, scalability, ease of use, and cost efficiency with advanced analytics capabilities.
The columnstore index enhances data query performance by using less space and achieving faster performance than general indexing.
Microsoft Parallel Data Warehouse is used in the logistics area for optimizing SQL queries related to the loading and unloading of trucks.
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.
 

Categories and Ranking

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
OpenText Analytics Database...
Ranking in Data Warehouse
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of June 2025, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 1.1%, up from 1.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 7.9%, down from 9.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

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.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…
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Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
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Top Industries

By visitors reading reviews
Computer Software Company
28%
Financial Services Firm
16%
Insurance Company
9%
University
7%
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
8%
Comms Service Provider
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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?
Microsoft Parallel Data Warehouse is excellent but very expensive. Working on the pricing could make it a better solution.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. OpenText Analytics Database (Vertica) and other solutions. Updated: May 2025.
859,579 professionals have used our research since 2012.