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BigQuery vs Microsoft Parallel Data Warehouse comparison

Google and Microsoft are both solutions in the Cloud Data Warehouse category. Additionally, 100% of Google users are willing to recommend the solution, compared to 86% of Microsoft users who would recommend it.
BigQuery
Read 40 BigQuery reviews
  • 3,303 Views
  • 2,698 Comparison Views
100% willing to recommend
Microsoft Parallel Data War...
Read 37 Microsoft Parallel Data Warehouse reviews
  • 324 Views
  • 208 Comparison Views
86% willing to recommend
 

Comparison Buyer's Guide

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

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed BigQuery vs. Microsoft Parallel Data Warehouse Report (Updated: April 2025).
Buyer's Guide
BigQuery vs. Microsoft Parallel Data Warehouse
April 2025
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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:
 

ROI

Sentiment score
8.6
Organizations saved costs and improved performance with BigQuery, achieving significant returns despite an initial learning period.
Sentiment score
6.9
Microsoft Parallel Data Warehouse offers significant ROI by efficiently managing large data volumes and integrating with existing tools.
 

Customer Service

Sentiment score
7.1
Google BigQuery support is generally reliable and agile but lacks direct engagement compared to competitors like Teradata.
Sentiment score
6.8
Microsoft Parallel Data Warehouse support receives mixed reviews, praised for expertise but needing faster responses and improved Azure-related assistance.
rating the customer support at ten points out of ten
For more quotes and insights, download the BigQuery report
No quotes available
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
 

Scalability Issues

Sentiment score
7.9
BigQuery excels in scalability and performance for large operations but may be costly for smaller businesses.
Sentiment score
7.2
Microsoft Parallel Data Warehouse scales well but requires SQL expertise; performance varies compared to alternatives like Snowflake.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
For more quotes and insights, download the BigQuery report
I give the scalability an eight out of ten, indicating it scales well for our needs.
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
 

Stability Issues

Sentiment score
8.5
BigQuery is praised for stability, reliability, and performance but has minor glitches with room for improvement in some areas.
Sentiment score
7.9
Microsoft Parallel Data Warehouse is praised for stability and reliability, handling large data volumes with minor concerns about processing speed.
No quotes available
For more quotes and insights, download the BigQuery report
Microsoft Parallel Data Warehouse is stable for us because it is built on SQL Server.
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
 

Room For Improvement

BigQuery's drawbacks include special character restrictions, high pricing, integration issues, and needed improvements in user interface and support.
Microsoft Parallel Data Warehouse needs enhancements in speed, scalability, compatibility, cost efficiency, and error messaging for better performance.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
In general, if I know SQL and start playing around, it will start making sense.
For more quotes and insights, download the BigQuery report
When there are many users or many expensive queries, it can be very slow.
Microsoft Parallel Data Warehouse is excellent but very expensive.
The ETL designing process could be optimized for better efficiency.
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
JR
reviewer2641596 - PeerSpot reviewerTcheupi Jonathan - PeerSpot reviewer
AS
VJ
 

Setup Cost

BigQuery's pricing is flexible, based on usage, with low storage costs, and customizable to enterprise needs within Google Cloud.
Microsoft Parallel Data Warehouse is cost-effective for large enterprises, but costs vary by data size, performance, and support.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
For more quotes and insights, download the BigQuery report
Microsoft Parallel Data Warehouse is very expensive.
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
 

Valuable Features

BigQuery provides scalable, fast, cost-effective data analytics with seamless GCP integration and supports complex queries and various data types.
Microsoft Parallel Data Warehouse offers accelerated performance, seamless integration, and scalability, excelling in data management and business intelligence.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
For more quotes and insights, download the BigQuery report
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.
The interface is very user-friendly.
For more quotes and insights, download the Microsoft Parallel Data Warehouse report
reviewer2641596 - PeerSpot reviewer
JR
VJ
AS
Tcheupi Jonathan - PeerSpot reviewer
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
40
Ranking in other categories
Cloud Data Warehouse (4th)
Microsoft Parallel Data War...
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
Data Warehouse (10th)
 

Featured Reviews

VikashKumar1 - PeerSpot reviewer
Easy to maintain and provides high availability
Since I used BigQuery over the GCP cloud environment, I'm not sure whether we can go through internal IDEAs like IntelliJ or DBeaver that we use to connect with databases. Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process. Sometimes, we face some issues, bugs, and defects. We must first connect with a VPN to check data issues while working from home. Then, it allows you to connect to the cloud. After logging into the cloud, it searches for the service we are looking for, and then we go to BigQuery. This is a long process. After that, we analyze the issues in a table. Instead, it would be very helpful if it could provide a tool that we can install on our MacBook or Windows system. Once we open this tool, we can connect directly to the BigQuery server and easily perform tasks.
Read full review
StevenLai - PeerSpot reviewer
Strong scalable solution with streamlined metadata warehousing
We use it to build our data warehouse and databases, and everything in the back end It helps streamline our metadata warehousing process. As it is our only type of data warehouse and database, it serves as our source, destination, and staging area. This product has many features which are useful…
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Manufacturing Company
11%
Retailer
8%
Computer Software Company
30%
Financial Services Firm
16%
Insurance Company
10%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
See all answers
What is your experience regarding pricing and costs for BigQuery?
The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.
See all answers
What needs improvement with BigQuery?
When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming. In general, if I know SQL and start playing around, it will star...
See all answers
What do you like most about Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
See all answers
What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?
Microsoft Parallel Data Warehouse is very expensive.
See all answers
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.
See all answers
 

Comparisons

Snowflake vs BigQuery Logo
Snowflake vs BigQuery
Compared 21% of the time
Oracle Autonomous Data Warehouse vs BigQuery Logo
Oracle Autonomous Data Warehouse vs BigQuery
Compared 17% of the time
Teradata vs BigQuery Logo
Teradata vs BigQuery
Compared 16% of the time
Vertica vs BigQuery Logo
Vertica vs BigQuery
Compared 15% of the time
Apache Hadoop vs BigQuery Logo
Apache Hadoop vs BigQuery
Compared 8% of the time
More BigQuery Competitors
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse Logo
Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse
Compared 53% of the time
Teradata vs Microsoft Parallel Data Warehouse Logo
Teradata vs Microsoft Parallel Data Warehouse
Compared 47% of the time
More Microsoft Parallel Data Warehouse Competitors
 

Product Reports

Buyer's Guide
BigQuery
April 2025
BigQuery reportDownload BigQuery product report
Buyer's Guide
Microsoft Parallel Data Warehouse
April 2025
Microsoft Parallel Data Warehouse reportDownload Microsoft Parallel Data Warehouse product report
 

Also Known As

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

Overview

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Google

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

Information Not Available
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Buyer's Guide
BigQuery vs. Microsoft Parallel Data Warehouse
April 2025
Free Report: BigQuery vs. Microsoft Parallel Data Warehouse
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We monitor all Cloud 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.