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Microsoft Analytics Platform System vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 1, 2026

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
19th
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
6.9
Number of Reviews
104
Ranking in other categories
Cloud Data Warehouse (1st), AI Synthetic Data (2nd), Database Management Systems (DBMS) (7th), AI Software Development (9th)
 

Mindshare comparison

As of February 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.3%, up from 0.7% compared to the previous year. The mindshare of Snowflake is 10.1%, down from 14.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Snowflake10.1%
Microsoft Analytics Platform System2.3%
Other87.6%
Data Warehouse
 

Featured Reviews

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.
SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

Quotes from Members

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

Pros

"I like that it's integrated with other Azure products."
"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."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"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."
"It is closely integrated with other products in the MS portfolio."
"We find the data sharing and data marketplace aspects of Snowflake absolutely amazing."
"The technical support on offer is excellent."
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"It was relatively easy to use, and it was easy for people to convert to it."
"The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"The platform's most valuable features include its ability to effectively summarize and manage large datasets, allowing multiple teams to analyze and generate insights."
"It is a highly scalable solution. There is no limit on storage or computing."
 

Cons

"We need better real-time analytics capabilities. It's a bit challenging for us."
"​Hybrid environments are complex to manage."
"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."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"The pricing model needs to be improved."
"Microsoft Analytics Platform System could have better support."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."
"It would be better if they had a data profile tool that tells me where the gaps are in my time series data."
"If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial."
"These aren't as crucial, but there are common errors sometimes where the database is down, or a table is nullified and a new table is added and you are not given access to that. With those errors, you don't have permissions."
"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."
"If they could bring in some tools for data integration, it would be really great."
"It would be helpful if Snowflake could create good reports instead of using Power BI reports."
"They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production."
 

Pricing and Cost Advice

"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."
"The pricing for Snowflake is competitive."
"It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."
"Comparing Snowflake to on-prem options such as Oracle or SAP, it seemed more cost-effective."
"Oracle is less expensive than Snowflake."
"The price for the solution's license depends on the use cases."
"It is not cheap."
"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."
"The price of the solution is reasonable."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise20
Large Enterprise58
 

Questions from the Community

Ask a question
Earn 20 points
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?
Snowflake is currently stable, but it can be improved further. They have a couple of information schemas that can track account usage. If more connectors were brought in and more visibility feature...
 

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: January 2026.
881,665 professionals have used our research since 2012.