No more typing reviews! Try our Samantha, our new voice AI agent.

Microsoft Parallel Data Warehouse vs Treasure Data 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

Microsoft Parallel Data War...
Ranking in Data Warehouse
11th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
No ranking in other categories
Treasure Data
Ranking in Data Warehouse
17th
Average Rating
9.0
Reviews Sentiment
5.8
Number of Reviews
1
Ranking in other categories
Customer Data Platforms (CDP) (3rd), AI Customer Experience Personalization (48th)
 

Mindshare comparison

As of April 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 2.9%, up from 0.7% compared to the previous year. The mindshare of Treasure Data is 1.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Parallel Data Warehouse2.9%
Treasure Data1.5%
Other95.6%
Data Warehouse
 

Featured Reviews

HassanFatemi - PeerSpot reviewer
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.
DEEPAK SINGH THAKUR - PeerSpot reviewer
Software Engineer at Indegene
Users can effortlessly create tables and manage data, even without utilizing the graphical interface
The initial setup is difficult due to the lack of detailed documentation. While the documentation provides a high-level overview, it lacks the specific instructions needed for setup. We relied on assistance from the Treasure Data team, including their support team, to navigate the process. Additionally, various policies to consider further complicate the setup, which ultimately requires time. We handle a large volume of data, and ensuring everything runs smoothly is crucial. Previously, it would take three to four months for one deployment due to the need to create workflows, conduct functional and comprehensive testing to ensure everything works seamlessly, and then proceed with delivery.
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
890,071 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
17%
Financial Services Firm
12%
Marketing Services Firm
9%
Manufacturing Company
8%
Construction Company
15%
Manufacturing Company
15%
Computer Software Company
6%
Recreational Facilities/Services Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise22
No data available
 

Questions from the Community

What needs improvement with Microsoft Parallel Data Warehouse?
The pricing could be better; I think it actually just went up.
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.
What needs improvement with Treasure Data?
In data management, we have a lot of data, including some PII, visible to everyone without any restrictions. This poses a significant problem because there isn't proper control over who can access ...
What is your primary use case for Treasure Data?
We need to create a 360-degree profile of a user using data from multiple sources. Subsequently, we utilize this data for marketing purposes.
What advice do you have for others considering Treasure Data?
We used to gather data from various sources, including websites. The data used to flow in real-time, requiring us to capture it promptly. Within seconds, we could see four to five reports. Treasure...
 

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
No data available
 

Overview

 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2026.
890,071 professionals have used our research since 2012.