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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
105
Ranking in other categories
Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (7th), AI Software Development (9th)
 

Mindshare comparison

As of June 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.2%, up from 0.9% compared to the previous year. The mindshare of Snowflake is 9.3%, down from 13.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake9.3%
Microsoft Analytics Platform System2.2%
Other88.5%
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 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 leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"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."
"It is closely integrated with other products in the MS portfolio."
"I think Microsoft Stack offers the end-to-end solution I need."
"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."
"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."
"Its speed and performance were the most valuable, and the easy configuration of Snowflake in any cloud was also a benefit."
"The syntax is advanced which reduces the time to write code."
"The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
"Snowflake's most valuable features are data enrichment and flattening."
"Snowflake is user-friendly and reliable in creating the data warehouse and carrying out data modeling."
"It is a highly scalable solution. There is no limit on storage or computing."
"Potential new users should just definitely give it a shot."
"The product is quite fast."
 

Cons

"Microsoft Analytics Platform System could have better support."
"​Hybrid environments are complex to manage."
"However, centralized EDW tends to be extremely expensive and very inflexible."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"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."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"The product's performance could be improved."
"The billing doubles with size increase, but processing does not necessarily speed up accordingly."
"It's not that flexible when compared to Oracle."
"In future releases, it can also support full unstructured data."
"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."
"There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source."
"Currently there isn't end-to-end or B2B sharing of data."
"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

"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."
"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."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"The price for the solution's license depends on the use cases."
"The price of Snowflake is very reasonable."
"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."
"On average, with the number of queries that we run, we pay approximately $200 USD per month."
"The pricing for Snowflake is competitive."
"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."
"Oracle is less expensive than Snowflake."
"The solution is expensive but worth the cost because the quality is there."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
6%
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 Enterprise60
 

Questions from the Community

Ask a question
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What is your experience regarding pricing and costs for Snowflake?
I am not the person who manages pricing, setup cost, and licensing. Our team is not limited in pricing. The only experience we have had in terms of running and reprocessing a large number of histor...
What needs improvement with Snowflake?
Snowflake can be improved in terms of its recent switch to a new user interface, which feels less intuitive compared to the old one. Moving to this new interface is something that I would like to s...
What is your primary use case for Snowflake?
My main use case for Snowflake is building ETL pipelines and ad-hoc analytics on data that we have. A specific example of a pipeline and ad-hoc analytics task I have worked on using Snowflake invol...
 

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: May 2026.
896,692 professionals have used our research since 2012.