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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
20th
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 (1st), Database Management Systems (DBMS) (7th), AI Software Development (11th)
 

Mindshare comparison

As of May 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.2%, up from 0.8% compared to the previous year. The mindshare of Snowflake is 9.3%, down from 13.8% 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

"I like that it's integrated with other Azure products."
"Helps our customers to discover trends, which provides useful information based on their business."
"I like that it's integrated with other Azure products."
"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."
"I think Microsoft Stack offers the end-to-end solution I need."
"This is a well-integrated solution and that integration empowers results."
"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."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"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, and in terms of data processing, the feeling was similar to working with a relational database but in a scalable way."
"Very easy to use and easy to query."
"The most valuable feature of Snowflake is the query performance."
"I think this solution provides the best potential of any data warehousing product where they choose to use Snowflake instead of Oracle or DBII."
"The reduced infrastructure management is the big difference compared to on-prem warehousing with Snowflake Data Cloud."
"Snowflake solves many of the challenges that traditional data warehousing tools have such as a lack of agility, scalability and fine-tuning."
"The integration capabilities of the product are good and you get what you pay for when it comes to Snowflake."
"It is a highly scalable solution. There is no limit on storage or computing."
 

Cons

"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"In general, I am not really very satisfied with the tutorials that are out there."
"Microsoft Analytics Platform System could have better support."
"The pricing model needs to be improved."
"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."
"Hybrid environments are complex to manage."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"The solution could improve the user interface and add functionality to the system."
"Their strategy is just to leverage what you've got and put Snowflake in the middle. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in."
"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."
"In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."
"Getting data out of the tool to third-party applications is difficult."
"The price could be improved."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"It is difficult in some cases to perform ETL and this is something that should be included."
 

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 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."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"The pricing for Snowflake is competitive."
"They give a different price for every single company. I don't know if I negotiated that well, but we got the enterprise tier for $3 a credit, and the other two were a dollar-ninety a credit. I suspect we don't have almost zero compute usage, but I know that our annual contract packages are below all of their minimums."
"The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If you're running your queries frequently, your charges will be higher than running fewer queries."
"Snowflake goes by credits. For a financial institution where you have 5,000 employees, monthly costs may run up to maybe $5,000 to $6,000. This is actually based on the usage. It is mostly the compute cost. Your computing cost is the variable that is actually based on your usage. It is pay-per-use. In a pay-per-use case, you won't be spending more than $6,000 to $7,000 a month. It is not more than that for a small or medium enterprise, and it may come down to $100K per year. Storage is very standard, which is $23 a terabyte. It is not much for any enterprise. If you have even 20 terabytes, you are not spending more than $400 per month, which may turn out to be $2,000 to $3,000 per annum."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
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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 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.
892,868 professionals have used our research since 2012.