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Microsoft Analytics Platform System vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2025

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 Analytics Platfor...
Ranking in Data Warehouse
17th
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Snowflake
Ranking in Data Warehouse
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
101
Ranking in other categories
Cloud Data Warehouse (1st), AI Synthetic Data (1st)
 

Mindshare comparison

As of October 2025, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 1.6%, up from 0.6% compared to the previous year. The mindshare of Snowflake is 12.5%, down from 17.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Snowflake12.5%
Microsoft Analytics Platform System1.6%
Other85.9%
Data Warehouse
 

Featured Reviews

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.
Snehasish Das - PeerSpot reviewer
Transformation in data querying speed with good migration capabilities
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses. One key feature is the separation of compute and storage, which eliminates storage limitations. It also has tools for migrating data from legacy databases like Oracle. Its stability and efficiency enhance performance greatly. Tools in the AI/ML marketplace are readily available without needing development.

Quotes from Members

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

Pros

"It is closely integrated with other products in the MS portfolio."
"Helps our customers to discover trends, which provides useful information based on their business."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"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."
"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."
"I like that it's integrated with other Azure products."
"The initial setup is straightforward. You just need to follow the documentation."
"It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability."
"It's user-friendly. It's SQL-driven. The fact that business can also go to this application and query because they know SQL is the biggest factor."
"It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
"The product is quite fast."
"Very easy to use and easy to query."
"The tool's performance is good. I think it's the best in the game right now. It usually charges per query. For example, if you run a SQL query on Snowflake with the same number of data records, it would take less than half the time compared to running it on Microsoft. It has good documentation. You can pick up Snowflake if you have previous knowledge of SQL."
"They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises."
 

Cons

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Microsoft Analytics Platform System could have better support."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Functionality needs to be more up-to-date with competing products."
"​Hybrid environments are complex to manage."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."
"They should improve the reporting tools."
"Improvement is needed in integrating external tools, such as data catalogs, which can be complicated due to differing formats and usage across departments."
"It's not that flexible when compared to Oracle."
"Snowflake could improve if they had an Operational Data Store(ODS) space."
"This solution could be improved by offering machine learning apps."
"The product is not very cheap, and a reduction in costs would be appreciated."
"From an improvement perspective, Snowflake can evolve in terms of writing costly, expensive queries with less cost and try to see if pipeline development can be made a little easier."
 

Pricing and Cost Advice

"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"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."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
"Part of the problem with the pricing is that it is very difficult for businesses to get an idea of how expensive it might be until they actually start using Snowflake."
"Snowflake is cost-effective. However, the cost can depend on how it's being used and how efficiently the code is written. If engineers don't write efficient code and usage is billed based on processing, it can become costly. If they write optimal code and choose the best solution, it can reduce costs in comparison to other options, such as Oracle."
"Its price should be improved. It should be cheaper than Microsoft."
"It is on a monthly basis. It is based on your usage. There are no additional costs from the point of the licensing fee. We do give some kind of evaluation to the customers about how much it is going to be. You can decide in Snowflake the virtual machine that you are using for customers. There are several kinds of virtual machines that you can use. It is similar to the clothing sizes: small to extra large. If you need more power in the coming month, you can decide in advance and take a more powerful machine. You can just select it from the platform. You can also decide which machine you want to take for extracting data."
"Snowflake is cost-effective."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise20
Large Enterprise56
 

Questions from the Community

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.
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
What is your experience regarding pricing and costs for Snowflake?
It is complicated to understand how requests impact warehouse size. Unlike competitors such as Microsoft and Databricks ( /products/databricks-reviews ), Snowflake lacks transparency in estimating ...
What needs improvement with Snowflake?
Pricing is quite high for Snowflake Data Cloud, which is an area that could be improved. Snowflake Data Cloud is still beneficial to use, but only if you can afford it. It can be cost-effective if ...
 

Also Known As

Microsoft APS, MS Analytics Platform System
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about Microsoft Analytics Platform System vs. Snowflake and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.