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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 March 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.4%, up from 0.7% compared to the previous year. The mindshare of Snowflake is 10.2%, down from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake10.2%
Microsoft Analytics Platform System2.4%
Other87.4%
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

"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"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."
"This is a well-integrated solution and that integration empowers results."
"I like that it's integrated with other Azure products."
"It is closely integrated with other products in the MS portfolio."
"The distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"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."
"The pricing is reasonable and matches the rest of the market."
"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"The solution is easy to use."
 

Cons

"We need better real-time analytics capabilities. It's a bit challenging for us."
"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."
"Functionality needs to be more up-to-date with competing products."
"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."
"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."
"The addition of more AI capabilities in Snowflake would help us more."
"The design of the product is easily misunderstood."
"I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."
"I can only access Snowflake from the web. It would be better if we could have an app that we can install locally on our laptops to connect to the server without needing to go to the web page. Apart from that, it's hard to point out any limitations in the tool."
"They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that."
"Getting data out of the tool to third-party applications is difficult."
 

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."
"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."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"Snowflake is cost-effective."
"The pricing is economical as compared to traditional solutions like Oracle and competitive pricing."
"Pricing can be confusing for customers."
"Currently, we have a trial account, so we don't need a license. After our project starts, we would need a permanent license."
"The pricing part is based on the computing and storage. The costs are different and then there are services costs as well."
"The pricing for Snowflake is competitive."
"Pricing is based on usage. It is the most expensive of our data tools."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
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

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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: March 2026.
884,797 professionals have used our research since 2012.