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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 (11th)
 

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

"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."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"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."
"I like that it's integrated with other Azure products."
"Helps our customers to discover trends, which provides useful information based on their business."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"It was relatively easy to use, and it was easy for people to convert to it."
"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."
"The most valuable features of Snowflake are its performance and power."
"Working with Parquet files is support out of the box and it makes large dataset processing much easier."
"The most valuable feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"You can create a connection and be up and running within half an hour."
"A user-friendly and reliable solution."
"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."
 

Cons

"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"However, centralized EDW tends to be extremely expensive and very inflexible."
"​Hybrid environments are complex to manage."
"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."
"Hybrid environments are complex to manage."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Cost reduction is one area I would like Snowflake to improve. The product is not very cheap, and a reduction in costs would be appreciated."
"It needs a bit more rigor and governance, which is something you don't get with newer tools. This makes it less enterprise scalable. Its governance and structure can be enhanced, which would really be valuable. I would like to see some kind of prebuilt functionality in terms of having almost like a pre-built data warehouse. A functionality for generating automated kind of pieces would be good."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"Snowflake can improve its machine learning and AI capabilities."
"Pricing is quite high for Snowflake Data Cloud, which is an area that could be improved."
"Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."
"It needs a bit more rigor and governance, which is something you don't get with newer tools. This makes it less enterprise scalable."
"Availability is a problem."
 

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."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"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."
"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."
"The solution is costly, making it unsuitable for midsize organizations due to its price."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"Snowflake licensing is more flexible and it is cheaper than other solutions. I can use it for only 10 days for MVP, or three years, and for flexible models. I can scale up, or down, and the pricing is based on the volume and duration. There are many licensing permutation combinations available."
"You need to be aware of the bloating costs. It is easy to use, but if you don't use it wisely, then your monthly bill can bloat a lot. You need to be a bit aware of its consumption cost."
"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."
"I am not much aware of the price, but based on what I have analyzed so far, its cost is reasonable as compared to on-prem data warehouse solutions. It provides a great deal for production."
"There is a license needed to use this solution. There are a few licensing options available. They have a pay-as-you-go option, but it is recommended to pay upfront."
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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.
886,932 professionals have used our research since 2012.