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BigQuery vs Microsoft Analytics Platform System 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 66% of Microsoft users who would recommend it.
BigQuery
Read 40 BigQuery reviews
  • 3,303 Views
  • 2,698 Comparison Views
100% willing to recommend
Microsoft Analytics Platfor...
Read 9 Microsoft Analytics Platform System reviews
  • 223 Views
  • 134 Comparison Views
66% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between BigQuery and Microsoft Analytics Platform System 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 Analytics Platform System Report (Updated: March 2025).
Buyer's Guide
BigQuery vs. Microsoft Analytics Platform System
March 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:
 

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 Analytics Platfor...
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Warehouse (17th)
 

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.
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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.
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Quotes from Members

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

Pros

"BigQuery has a very nice interface that you can easily learn if you know SQL."
"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"It's similar to a Hadoop cluster, except it's managed by Google."
"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 process is easy."
"The setup is simple."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
More BigQuery pros
"Helps our customers to discover trends, which provides useful information based on their business."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"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."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"It is closely integrated with other products in the MS portfolio."
"I like that it's integrated with other Azure products."
 

Cons

"There is a limitation when copying data directly from BigQuery; it only supports up to ten MB when copying data to the clipboard."
"I rate BigQuery six out of 10 for affordability. It could be cheaper."
"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."
"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."
"I noticed recently it's more expensive now."
"Some of the queries are complex and difficult to understand."
"When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming."
"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."
More BigQuery cons
"​Hybrid environments are complex to manage."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Microsoft Analytics Platform System could have better support."
"The pricing model needs to be improved."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"Functionality needs to be more up-to-date with competing products."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
More Microsoft Analytics Platform System cons
 

Pricing and Cost Advice

"Its cost structure operates on a pay-as-you-go model."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"Price-wise, I think that is very reasonable."
"The solution's pricing is cheaper compared to other solutions."
"The product’s pricing could be more flexible for end users."
"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."
"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."
"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."
More BigQuery pricing and cost advice
"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."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
11%
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.
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 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.
See all answers
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.
See all answers
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.
See all answers
 

Comparisons

Snowflake vs BigQuery Logo
Snowflake vs BigQuery
Compared 25% of the time
Oracle Autonomous Data Warehouse vs BigQuery Logo
Oracle Autonomous Data Warehouse vs BigQuery
Compared 16% of the time
Teradata vs BigQuery Logo
Teradata vs BigQuery
Compared 15% of the time
Vertica vs BigQuery Logo
Vertica vs BigQuery
Compared 14% of the time
Apache Hadoop vs BigQuery Logo
Apache Hadoop vs BigQuery
Compared 8% of the time
More BigQuery Competitors
Teradata vs Microsoft Analytics Platform System Logo
Teradata vs Microsoft Analytics Platform System
Compared 60% of the time
Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System Logo
Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System
Compared 40% of the time
More Microsoft Analytics Platform System Competitors
 

Product Reports

Buyer's Guide
BigQuery
April 2025
BigQuery reportDownload BigQuery product report
Buyer's Guide
Microsoft Analytics Platform System
March 2025
Microsoft Analytics Platform System reportDownload Microsoft Analytics Platform System product report
 

Also Known As

No data available
Microsoft APS, MS Analytics Platform System
 

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 Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.
Microsoft
 

Sample Customers

Information Not Available
Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Buyer's Guide
BigQuery vs. Microsoft Analytics Platform System
March 2025
Free Report: BigQuery vs. Microsoft Analytics Platform System
Find out what your peers are saying about BigQuery vs. Microsoft Analytics Platform System and other solutions. Updated: March 2025.
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