No more typing reviews! Try our Samantha, our new voice AI agent.

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 (10th)
 

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

"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."
"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."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"I think Microsoft Stack offers the end-to-end solution I need."
"This is a well-integrated solution and that integration empowers results."
"By combining both Microsoft Parallel Data Warehouse (PDW) and unstructured Hadoop analytical capabilities in a single, easy-to-manage EDW appliance, Microsoft APS is well positioned to help organizations use information to enhance their competitive position."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"The solution is very stable."
"The technical support is pretty good, particularly if you are a more technical user."
"I don't think it is difficult to maintain."
"The way Snowflake has emerged in the past few years is impressive."
"From a user's standpoint, it is a good product."
"My company wanted to have all our data in one single place and this what we use Snowflake for."
"They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises."
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
 

Cons

"The pricing model needs to be improved."
"Hybrid environments are complex to manage."
"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"In general, I am not really very satisfied with the tutorials that are out there."
"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."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"The solution needs to offer more functionality related to machine learning and artificial intelligence."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"The aspect of it that was more complicated was stored procedures. It does not support SQL language-based stored procedures."
"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."
"I am still in the learning stage. It has good security, but it can always be more secure."
"The solution could improve the user interface and add functionality to the system."
"The price could be improved."
"For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft."
 

Pricing and Cost Advice

"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."
"Users have to pay extra for premium-level technical support."
"The solution is expensive."
"The product's price range falls between average to a bit expensive range. I think the tool is worth the money if you use it properly."
"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
"Users have to pay a licensing fee for the solution, which is expensive."
"We use Snowflake pretty heavily. We pay a significant amount of money for the tool. I'd say we pay $300k to $400K every year."
"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."
"Snowflake’s pricing is transparent. It is one of the cheapest cloud database warehouse providers. The tool follows a credit cost model. Everything on Snowflake is charged on the basis of credits. The credits depend on the cloud region and the public cloud provider that we use. Hence, the cost per credit will be different for AWS in Frankfurt and AWS in India. I think North Virginia is the cheapest region in terms of cost per credit. You will be consuming around 16 credits for large data warehouses."
"Comparing Snowflake to on-prem options such as Oracle or SAP, it seemed more cost-effective."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
886,468 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
21%
Manufacturing Company
9%
Computer Software Company
7%
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 Business30
Midsize Enterprise20
Large Enterprise58
 

Questions from the Community

Ask a question
Earn 20 points
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.
886,468 professionals have used our research since 2012.