Try our new research platform with insights from 80,000+ expert users

BigQuery vs Microsoft Analytics Platform System 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

BigQuery
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
42
Ranking in other categories
Cloud Data Warehouse (4th)
Microsoft Analytics Platfor...
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Warehouse (19th)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
MahmoudMohamed1 - PeerSpot reviewer
Senior Data Engineer at Tatweer Educational Technologies Company - TETCO
Offers smooth data integration between systems, but requires better real-time analytics capabilities
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees. Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.

Quotes from Members

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

Pros

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"Its integration with other tools like Atlan through a Google Chrome extension is highly beneficial."
"The best features of BigQuery for me are the fact that it's low-code, no-code; you don't have to be a data scientist to really utilize the tool."
"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."
"It has a well-structured suite of complimentary tools for data integration and so forth."
"The setup is simple."
"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"I like that it's integrated with other Azure products."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"Helps our customers to discover trends, which provides useful information based on their business."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"This is a well-integrated solution and that integration empowers results."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"It is closely integrated with other products in the MS portfolio."
 

Cons

"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."
"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."
"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."
"The solution should reduce its pricing."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"It would be beneficial if BigQuery could be made more affordable."
"The main challenges are in the areas of performance and cost optimizations."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Microsoft Analytics Platform System could have better support."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"The pricing model needs to be improved."
"Functionality needs to be more up-to-date with competing products."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
 

Pricing and Cost Advice

"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."
"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
"The price is a bit high but the technology is worth it."
"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."
"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."
"Users have to pay extra for premium-level technical support."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
881,114 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
13%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs. Having more of a library of connectors would be really benefic...
Ask a question
Earn 20 points
 

Also Known As

No data available
Microsoft APS, MS Analytics Platform System
 

Overview

 

Sample Customers

Information Not Available
Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Find out what your peers are saying about BigQuery vs. Microsoft Analytics Platform System and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.