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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
7.2
Number of Reviews
41
Ranking in other categories
Cloud Data Warehouse (3rd)
Microsoft Analytics Platfor...
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Warehouse (17th)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
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
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

"The solution is very useful nowadays for keeping a huge number of records."
"BigQuery's querying capabilities are very optimized for large datasets."
"The interface is what I find particularly valuable."
"The query tool is scalable and allows for petabytes of data."
"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."
"The initial setup is straightforward."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"Helps our customers to discover trends, which provides useful information based on their business."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"This is a well-integrated solution and that integration empowers results."
"I like that it's integrated with other Azure products."
"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."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
 

Cons

"The initial setup could be improved making it easier to deploy."
"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."
"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."
"I noticed recently it's more expensive now."
"We'd like to see more local data residency."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Microsoft Analytics Platform System could have better support."
"​Hybrid environments are complex to manage."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"The pricing model needs to be improved."
 

Pricing and Cost Advice

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"BigQuery is inexpensive."
"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 pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."
"Price-wise, I think that is very reasonable."
"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."
"The product’s pricing could be more flexible for end users."
"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."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Users have to pay extra for premium-level technical support."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
16%
Manufacturing Company
12%
Retailer
8%
No data available
 

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.
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?
I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...
What do you like most about Microsoft Analytics Platform System?
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.
What is your experience regarding pricing and costs for Microsoft Analytics Platform System?
It's not too confusing. It's based on features, and we don't have to buy additional licenses.
What needs improvement with Microsoft Analytics Platform System?
We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission limitations.
 

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: June 2025.
859,129 professionals have used our research since 2012.