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

855 Views
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

"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."

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

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

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

"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."

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

"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."

"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."

"All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse."

"Snowflake's most valuable features are data enrichment and flattening."

"Snowflake has evolved significantly over time. Initially, they started with scalability, but more recently, they have introduced streaming capabilities, real-time and dynamic tables, along with various connectors."

"I like the idea that you can assign roles and responsibilities, limiting access to data."

"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."

"It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability."

"Snowflake has evolved significantly over time; initially, they started with scalability, but more recently, they have introduced streaming capabilities, real-time and dynamic tables, along with various connectors."

More Snowflake pros

Cons

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

"Hybrid environments are complex to manage."

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

"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."

"Microsoft Analytics Platform System could have better support."

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

"The pricing model needs to be improved."

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

More Microsoft Analytics Platform System cons

"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."

"They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production."

"If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial."

"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."

"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."

"We would like to have an on-premises deployment option that has the same features, including scalability."

"Pricing is an issue for many customers."

"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."

More Snowflake cons

Pricing and Cost Advice

"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."

"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."

"It is hard to say because we're usually engaged in the transition as opposed to the long term. Their storage costs are easily within pennies of what AWS S3 would normally cost. Most of the clients I've been working with are in the financial sector, and they're relatively small. I would put them in an SMB connection. The first thing we have to bring up for people is that they're going to build this. They shouldn't store their data in S3. They should pipeline directly into Snowflake and use it on their storage. So, the cost is a big issue because these are small to medium size companies, and that is the biggest thing we had to price point for them."

"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."

"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."

"Oracle is less expensive than Snowflake."

"It is pay-as-you-go. Its cost is in the medium range."

"It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."

"It's expensive."

"The pricing for Snowflake is competitive."

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 11% of the time

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Compared 10% of the time

SAP BW4HANA vs Microsoft Analytics Platform System

Compared 9% of the time

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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Teradata vs Snowflake

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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