Microsoft Analytics Platform System vs Snowflake comparison

Microsoft and Snowflake Computing are both solutions in the Data Warehouse category. Microsoft is ranked #19, while Snowflake Computing is ranked #1 with an average rating of 8.3. Microsoft holds a 2.4% mindshare in Data Warehouse, compared to Snowflake Computing’s 10.2% mindshare. Additionally, 66% of Microsoft users are willing to recommend the solution, compared to 97% of Snowflake Computing users who would recommend it.

Microsoft Analytics Platfor...

Read 9 Microsoft Analytics Platform System reviews

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599 Comparison Views

66% willing to recommend

Snowflake

Read 104 Snowflake reviews

9,378 Views
3,751 Comparison Views

97% willing to recommend

Microsoft Analytics Platfor...

Snowflake

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Executive SummaryUpdated on Feb 1, 2026

Snowflake and Microsoft Analytics Platform System compete in the data analytics solutions category. Snowflake appears to have the upper hand in cloud-based scalability and cost efficiency, whereas Microsoft Analytics Platform System boasts comprehensive features for complex enterprise environments.

Features: Snowflake features dynamic scalability, cross-cloud support, and advanced data sharing capabilities, making it highly adaptable to various data sources. Microsoft Analytics Platform System excels with strong data management capabilities, seamless integration within Microsoft's ecosystem, and high-speed data processing.

Room for Improvement: Snowflake could enhance its on-premise compatibility and improve user interface customization options. Microsoft Analytics Platform System might benefit from reducing initial setup complexity, increasing flexibility for smaller setups, and enhancing cloud integration.

Ease of Deployment and Customer Service: Snowflake offers quick deployment with its fully managed service and extensive support ensuring seamless onboarding and maintenance. Microsoft Analytics Platform System requires more extensive initial setup due to its on-premise nature but provides robust enterprise support.

Pricing and ROI: Snowflake offers cost-effective, flexible pricing plans optimized for scaling, providing quick ROI through lower overhead. Microsoft Analytics Platform System has higher initial costs but offers long-term value for enterprises needing powerful on-premise solutions.

To learn more, read our detailed Microsoft Analytics Platform System vs. Snowflake Report (Updated: March 2026).

Buyer's Guide

Microsoft Analytics Platform System vs. Snowflake

March 2026

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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

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 (9th)

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.4%, up from 0.7% compared to the previous year. The mindshare of Snowflake is 10.2%, down from 14.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake	10.2%
Microsoft Analytics Platform System	2.4%
Other	87.4%

Data Warehouse

Featured Reviews

MahmoudMohamed1

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.

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SunilPatil1

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."

"Helps our customers to discover trends, which provides useful information based on their business."

"It is closely integrated with other products in the MS portfolio."

"I like that it's integrated with other Azure products."

"This is a well-integrated solution and that integration empowers results."

"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."

"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."

"The initial setup is very simple."

"The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power."

"I like the ability to work with a managed service on the cloud and that is easy to start with."

"This solution has helped our organization by being easy to maintain and having good technical support."

"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."

"It's ultra-fast at handling queries, which is what we find very convenient."

"It's user-friendly. It's SQL-driven. The fact that business can also go to this application and query because they know SQL is the biggest factor."

"Data Science capabilities are the most valuable feature."

More Snowflake pros

Cons

"We need better real-time analytics capabilities. It's a bit challenging for us."

"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."

"Hybrid environments are complex to manage."

"The pricing model needs to be improved."

"Microsoft Analytics Platform System could have better support."

"Functionality needs to be more up-to-date with competing products."

"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."

More Microsoft Analytics Platform System cons

"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."

"Snowflake could improve migration. It should be made easier. It would be beneficial if it could offer some OLTP features. One of our customers was using Oracle for both data warehousing and OLTP workloads, and they were able to migrate their data warehousing workloads to Snowflake without major issues. However, for some of their OLTP requirements, such as needing a response time of fewer than 10 milliseconds for certain queries, Snowflake is currently unable to provide that."

"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."

"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."

"They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that."

"Currently there isn't end-to-end or B2B sharing of data."

"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."

"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."

More Snowflake cons

Pricing and Cost Advice

"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."

"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."

"Snowflake is a cost-effective solution."

"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."

"The solution is expensive but worth the cost because the quality is there."

"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."

"We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."

"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."

"Comparing Snowflake to on-prem options such as Oracle or SAP, it seemed more cost-effective."

"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."

More Snowflake pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	20
Large Enterprise	58

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...

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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...

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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....

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Comparisons

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Compared 10% of the time

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Oracle Exadata vs Microsoft Analytics Platform System

Compared 8% of the time

Dremio vs Microsoft Analytics Platform System

Compared 4% of the time

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Compared 8% of the time

Microsoft Azure Synapse Analytics vs Snowflake

Compared 7% of the time

Amazon Redshift vs Snowflake

Compared 6% of the time

Azure Data Factory vs Snowflake

Compared 5% of the time

Dremio vs Snowflake

Compared 5% of the time

More Snowflake Competitors

Product Reports

Buyer's Guide

Microsoft Analytics Platform System

February 2026

Microsoft Analytics Platform System report

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Buyer's Guide

Snowflake

February 2026

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Also Known As

Microsoft APS, MS Analytics Platform System

Snowflake Computing, Snowflake Data Cloud

Overview

The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

Microsoft

Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.

Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.

What are Snowflake's Key Features?

Scalability: Easily adjusts to handle growing data volumes.
Seamless Integration: Works with a wide range of platforms.
Consumption-Based Costs: Pay only for what you use.
Time Travel: Access historical data effortlessly.
Data Sharing: Secure and efficient sharing of datasets.
Time Zone Conversion: Built-in feature for global operations.
Security: Robust measures to protect sensitive information.
Compute and Storage Separation: Independent scaling for optimal performance.

What Benefits Should You Look for?

Cost Efficiency: Optimized pricing models for minimal waste.
Enhanced Performance: Fast queries and processing times.
Flexibility: Handles both structured and semi-structured data.
Analytics Capabilities: Supports advanced data analysis and reporting.

In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.

Snowflake Computing

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

Buyer's Guide

Microsoft Analytics Platform System vs. Snowflake

March 2026

Free Report: Microsoft Analytics Platform System vs. Snowflake

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