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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 (70th)
 

Mindshare comparison

As of April 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.3%, up from 0.8% compared to the previous year. The mindshare of Snowflake is 9.5%, down from 14.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake9.5%
Microsoft Analytics Platform System2.3%
Other88.2%
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

"Helps our customers to discover trends, which provides useful information based on their business."
"The result is a highly flexible, affordable, and scalable platform that makes large-scale Hub and Spoke EDW architectures a practical reality."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"I think Microsoft Stack offers the end-to-end solution I need."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"The most valuable part of the product is that it is a system, with different tools for different services for different kinds of scenarios, making it a very rich, integrated, technology-rich platform whose total integration with the rest of Microsoft products creates flexibility and compatibility and makes the tool a very useful one."
"We help customers in many ways from customized analysis for detection of anomalies in tax, operations, customer relationship, and marketing campaigns, and we also use mining and ML to help them 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."
"Snowflake has evolved significantly over time; initially, they started with scalability, but more recently, they have introduced streaming capabilities, real-time and dynamic tables, along with various connectors."
"Everything is automatic, and I don't have to do any maintenance."
"Its performance is most valuable. As compared to SQL Server, we are able to see a significant improvement in performance with Snowflake."
"Its performance is a big advantage, and when you run a query, its performance is very good."
"Scaling is a big plus point of Snowflake."
"The most valuable features of Snowflake are that you have to pay per usage, and you don't have to worry about the maintenance of the data warehouse because it is on the cloud."
"It is a very well-distributed system. It has different data engines for different applications. Many applications can use different computational engines at the same time. In terms of data processing, the feeling was similar to working with a relational database but in a scalable way."
"The product does a lot of wonderful stuff that a lot of these companies want to do without too much effort."
 

Cons

"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."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"On a scale from one to ten where one is the worst and ten is the best, I would rate this product overall as a five. This is probably because there is still a lot of room for improvement, features that other products have that are missing, and a lot of open-source technology nowadays that are very good and people can use instead."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"Hybrid environments are complex to manage."
"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"​Hybrid environments are complex to manage."
"They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"There are some challenges with loading unstructured data and integrating some message queues or brokers. In one project, we had a problem connecting to one of the message queues and we had to take a different route altogether on Microsoft Azure."
"Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution."
"The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic."
"One thing which I believe Snowflake needs to improve is related to product activation queries."
"Snowflake needs transparency over costs and pricing."
"I see room for improvement when it comes to credit performance. The other thing I'd like to be improved is the warehouse facility."
 

Pricing and Cost Advice

"Users have to pay extra for premium-level technical support."
"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."
"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Snowflake is expensive, but when I consider what we get for that price, it's fair. I rate the solution three out of five for affordability, right in the middle."
"Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
"Its price should be improved. It should be cheaper than Microsoft."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"The pricing for Snowflake is competitive."
"Comparing Snowflake to on-prem options such as Oracle or SAP, it seemed more cost-effective."
"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
"I believe that pricing is reasonable for this solution."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
7%
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 Business30
Midsize Enterprise20
Large Enterprise58
 

Questions from the Community

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What is your experience regarding pricing and costs for Snowflake?
For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...
What needs improvement with Snowflake?
Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...
What is your primary use case for Snowflake?
Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....
 

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: April 2026.
889,855 professionals have used our research since 2012.