Microsoft Parallel Data Warehouse vs Treasure Data comparison

Why PeerSpot?

Microsoft and Treasure Data are both solutions in the Data Warehouse category. Microsoft is ranked #9 with an average rating of 8.3, while Treasure Data is ranked #22. Microsoft holds a 3.2% mindshare in Data Warehouse, compared to Treasure Data’s 2.0% mindshare. Additionally, 87% of Microsoft users are willing to recommend the solution, compared to 100% of Treasure Data users who would recommend it.

Microsoft Parallel Data War...

Read 40 Microsoft Parallel Data Warehouse reviews

2,866 Views
2,293 Comparison Views

87% willing to recommend

Treasure Data

Read 1 Treasure Data review

2,365 Views
875 Comparison Views

100% willing to recommend

Microsoft Parallel Data War...

Treasure Data

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Microsoft Parallel Data Warehouse and Treasure Data based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: September 2026).

Buyer's Guide

Data Warehouse

September 2026

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Helped 913,806 peers since 2012

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

9th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Treasure Data

Ranking in Data Warehouse

22nd

Average Rating

9.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Customer Data Platforms (CDP) (9th), AI Customer Experience Personalization (65th)

Mindshare comparison

As of September 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 3.2%, up from 1.3% compared to the previous year. The mindshare of Treasure Data is 2.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Microsoft Parallel Data Warehouse	3.2%
Treasure Data	2.0%
Other	94.8%

Data Warehouse

Featured Reviews

reviewer2254953

Service Desk Administrator at a real estate/law firm with 1,001-5,000 employees

Virtual machines have handled large data and supported growth but pricing still needs improvement

I believe the product is pretty fast. When I have used it, it is handy. The integration with other Azure products is good and integrates well. Microsoft Parallel Data Warehouse's security measures help ensure our sensitive data protection during analysis through measures such as encryption. Its scalability is impressive as it scales up and down really well. We go from a couple of users to tons of users all the time, and it scales and handles things really well. One of the major benefits with this product is that it's Microsoft, which is one of the best ones, and it's just plug and play.

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DEEPAK SINGH THAKUR

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.

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Top Industries

By visitors reading reviews

Construction Company

23%

Financial Services Firm

13%

Outsourcing Company

10%

Manufacturing Company

20%

Comms Service Provider

16%

Construction Company

11%

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?

Microsoft Parallel Data Warehouse is very expensive.

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What needs improvement with Microsoft Parallel Data Warehouse?

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

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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.

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Comparisons

Oracle Exadata vs Microsoft Parallel Data Warehouse

Compared 12% of the time

Teradata vs Microsoft Parallel Data Warehouse

Compared 10% of the time

OpenText Analytics Database (Vertica) vs Microsoft Parallel Data Warehouse

Compared 9% of the time

biGENIUS vs Microsoft Parallel Data Warehouse

Compared 6% of the time

Actian Ingres vs Microsoft Parallel Data Warehouse

Compared 3% of the time

More Microsoft Parallel Data Warehouse Competitors

Teradata vs Treasure Data

Compared 13% of the time

Hightouch vs Treasure Data

Compared 12% of the time

Amperity vs Treasure Data

Compared 10% of the time

Snowflake vs Treasure Data

Compared 7% of the time

Microsoft Analytics Platform System vs Treasure Data

Compared 3% of the time

More Treasure Data Competitors

Product Reports

Buyer's Guide

Microsoft Parallel Data Warehouse

September 2026

Microsoft Parallel Data Warehouse report

Download Microsoft Parallel Data Warehouse product report

Buyer's Guide

Customer Data Platforms (CDP)

September 2026

Download Treasure Data product report

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse

No data available

Overview

Microsoft Parallel Data Warehouse offers high performance and usability with seamless SQL Server integration, handling large data efficiently with a user-friendly interface. Known for its cost-effectiveness and robust security, it excels in integrating data across Microsoft ecosystem.

Microsoft Parallel Data Warehouse efficiently manages large datasets from diverse sources, supporting a unified data approach. Its integration with SQL Server and compatibility with tools like Qlik enhances data management and decision-making capabilities. With impressive scalability and security features, it is widely used in sectors such as finance, healthcare, and logistics for analytics and reporting. However, users seek improvements in integration with non-Microsoft layers, memory usage, SQL configuration, and scalability.

What are the key features of Microsoft Parallel Data Warehouse?

Clustered Columnstore Index: Boosts performance for complex queries.
SQL Server Integration: Seamless connectivity with Microsoft's database solutions.
Data Volume Handling: Efficient management of large datasets.
Cost Management: Ability to pause operations for cost savings.
Security Measures: Ensures robust data protection.

What benefits do users expect when evaluating Microsoft Parallel Data Warehouse?

Performance Efficiency: High-speed data processing capabilities.
Cost-Effectiveness: Suitable pricing model in specific scenarios.
Scalability: Ability to grow with business needs.
Integration Capabilities: Compatibility with Microsoft products and SQL Server.

In industries like finance, healthcare, and logistics, Microsoft Parallel Data Warehouse supports analytics, reporting, and decision-making processes. Organizations utilize it to maintain historical data, develop business intelligence models, and create actionable dashboards, benefiting from its integration with key tools and efficient data management.

Microsoft

Treasure Data offers a powerful data management platform primarily used for customer data integration and behavior analytics. It excels in creating unified views of customer data from multiple sources, enabling tailored marketing and optimized targeted advertising through robust segmentation and predictive analytics. With a user-friendly interface and real-time analytics, it enhances organizational efficiency, supports large-scale data processing, and aids in making quick, informed decisions.

Treasure Data

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, Teradata, Oracle and others in Data Warehouse. Updated: September 2026.

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913,806 professionals have used our research since 2012.

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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.