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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

"I like that it's integrated with other Azure products."
"I like that it's integrated with other Azure products."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"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."
"It is closely integrated with other products in the MS portfolio."
"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."
"The solution is extremely user-friendly and easy to navigate, the user experience is very good, and the product is overall quite inexpensive and very cheap to use."
"It is definitely a good tool and a good database without any adoption problems."
"From a data warehouse perspective, it's an excellent all-round solution. It's very complete."
"Snowflake has positively impacted us by making everything cloud-native, significantly reducing the systems and application running process."
"Scaling is a big plus point of Snowflake."
"Snowflake solves many of the challenges that traditional data warehousing tools have such as a lack of agility, scalability and fine-tuning."
"Snowflake is a modern version of Informatica which is 100 percent in the cloud."
"I think this solution provides the best potential of any data warehousing product where they choose to use Snowflake instead of Oracle or DBII."
 

Cons

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"​Hybrid environments are complex to manage."
"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."
"Hybrid environments are complex to manage."
"Hybrid environments are complex to manage."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"The product is not very cheap, and a reduction in costs would be appreciated."
"There are some functions in the SQL language in other products which are not yet included in Snowflake's SQL."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"Sizing seems to be a bit of trial and error."
"There could be better ELT tools that are appropriate for Snowflake. We decided on Matillion and it seemed to be the only one. There need to be better choices, it would be great if Snowflake provided an ELT solution that people could use. Additionally, if there was a pure cloud-based ELT tool it would be useful."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
 

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."
"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."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
"Snowflake is a cost-effective solution."
"The pricing part is based on the computing and storage. The costs are different and then there are services costs as well."
"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."
"It's expensive."
"Pricing can be confusing for customers."
"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
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

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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.
886,858 professionals have used our research since 2012.