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Microsoft Analytics Platform System vs OpenText Analytics Database (Vertica) vs Snowflake comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

As of September 2025, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 1.5%, up from 0.5% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.9%, down from 9.1% compared to the previous year. The mindshare of Snowflake is 12.5%, down from 18.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Snowflake12.5%
OpenText Analytics Database (Vertica)6.9%
Microsoft Analytics Platform System1.5%
Other79.1%
Data Warehouse
 

Featured Reviews

MahmoudMohamed1 - PeerSpot reviewer
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.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…
Snehasish Das - PeerSpot reviewer
Transformation in data querying speed with good migration capabilities
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses. One key feature is the separation of compute and storage, which eliminates storage limitations. It also has tools for migrating data from legacy databases like Oracle. Its stability and efficiency enhance performance greatly. Tools in the AI/ML marketplace are readily available without needing development.

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."
"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."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"It is closely integrated with other products in the MS portfolio."
"This is a well-integrated solution and that integration empowers results."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Eighty percent of the ETL operations have improved since implementing this solution."
"I enjoy the cybersecurity and backup features."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"The initial setup was straightforward."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"The solution's customer service is good."
"This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere."
"The speed of data loading and being able to quickly create the environment are most valuable."
"The overall ecosystem was easy to manage. Given that we weren't a very highly technical group, it was preferable to other things we looked at because it could do all of the cloud tunings. It can tune your data warehouse to an appropriate size for controlled billing, resume and sleep functions, and all such things. It was much more simple than doing native Azure or AWS development. It was stable, and their support was also perfect. It was also very easy to deploy. It was one of those rare times where they did exactly what they said they could do."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."
"The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power."
"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
 

Cons

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"The pricing model needs to be improved."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Microsoft Analytics Platform System could have better support."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Functionality needs to be more up-to-date with competing products."
"​Hybrid environments are complex to manage."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"It would be great if this were a managed service in AWS."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"The solution needs more connectors."
"If we can have a feature where the results can be moved to different tabs, so that I can compare the results with earlier queries before applying the changes, it would be great."
"The data science functionality could be improved in terms of the machine learning process."
"Pricing is an issue for many customers."
"I don't think that the AI tools in Snowflake are good."
"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."
"From an improvement perspective, Snowflake can evolve in terms of writing costly, expensive queries with less cost and try to see if pipeline development can be made a little easier."
"Currently, Snowflake doesn't support unstructured data."
 

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."
"The solution is free and we pay for the storage."
"Vertica is an expensive tool."
"The pricing for this solution is very reasonable compared to other vendors."
"From a cost perspective, the software is less than most of its competitors."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"It's an expensive product"
"The price of the solution is reasonable."
"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."
"It's expensive."
"The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If you're running your queries frequently, your charges will be higher than running fewer queries."
"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"The pricing for Snowflake is competitive."
"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."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
9%
Comms Service Provider
5%
Financial Services Firm
20%
Computer Software Company
13%
Manufacturing Company
8%
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 Business29
Midsize Enterprise23
Large Enterprise38
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise20
Large Enterprise56
 

Questions from the Community

What do you like most about Microsoft Analytics Platform System?
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any o...
What is your experience regarding pricing and costs for Microsoft Analytics Platform System?
It's not too confusing. It's based on features, and we don't have to buy additional licenses.
What needs improvement with Microsoft Analytics Platform System?
We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission l...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compet...
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
What is your experience regarding pricing and costs for Snowflake?
It is complicated to understand how requests impact warehouse size. Unlike competitors such as Microsoft and Databric...
What needs improvement with Snowflake?
Pricing is quite high for Snowflake Data Cloud, which is an area that could be improved. Snowflake Data Cloud is stil...
 

Also Known As

Microsoft APS, MS Analytics Platform System
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: August 2025.
867,299 professionals have used our research since 2012.