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

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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
18th
Average Rating
6.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
No ranking in other categories
OpenText Analytics Database...
Ranking in Data Warehouse
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of October 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.3%, up from 1.4% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.3%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)6.3%
Microsoft Analytics Platform System2.3%
Other91.4%
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.
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

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."
"I think Microsoft Stack offers the end-to-end solution I need."
"The most valuable part of the product is that it is a system, with different tools for different services for different kinds of scenarios, making it a very rich, integrated, technology-rich platform whose total integration with the rest of Microsoft products creates flexibility and compatibility and makes the tool a very useful one."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"The result is a highly flexible, affordable, and scalable platform that makes large-scale Hub and Spoke EDW architectures a practical reality."
"It is closely integrated with other products in the MS portfolio."
"I like that it's integrated with other Azure products."
"Vertica is very robust and recovers predictably from unexpected infrastructure failures."
"Do you want to stand up a data warehouse in a reasonable amount of time using the in-house skills accustomed to dealing with an RDBMS? If that is the case, nothing beats Vertica, hands down."
"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."
"Setup was very simple"
"Since we implemented the Vertica solution, it is much less effort to maintain scalability."
"Analytical features are amazing, the integration is wonderful."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"Data Warehouse response times have decreased of one order of magnitude with respect to the previous solution (SQL Server + Oracle)."
 

Cons

"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"The pricing model needs to be improved."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Microsoft Analytics Platform System could have better support."
"​Hybrid environments are complex to manage."
"On a scale from one to ten where one is the worst and ten is the best, I would rate this product overall as a five. This is probably because there is still a lot of room for improvement, features that other products have that are missing, and a lot of open-source technology nowadays that are very good and people can use instead."
"In general, I am not really very satisfied with the tutorials that are out there."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"While the documentation is very extensive and relatively complete, it’s poorly organized and there are way too few examples."
"More frequent updates."
"Over the last few months with the new release of Vertica, there have been stability problems. The performance should improve."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"In the versions I worked with, if a majority of the nodes were being loaded under heavy, sustained rates the nodes would see some dramatic decreases in performance due to the data shuffling that needed to occur between all the nodes."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"It should provide a GUI interface for data management and tuning."
"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."
 

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."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"It's an expensive product"
"It is fast to purchase through the AWS Marketplace."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The price could be cheaper and it is best to negotiate the price."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"The pricing for this solution is very reasonable compared to other vendors."
"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
13%
Manufacturing Company
10%
Comms Service Provider
8%
 

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 Enterprise43
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Vertica?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...
What is your primary use case for Vertica?
The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...
 

Also Known As

Microsoft APS, MS Analytics Platform System
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

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.
Find out what your peers are saying about Microsoft Analytics Platform System vs. OpenText Analytics Database (Vertica) and other solutions. Updated: September 2026.
915,325 professionals have used our research since 2012.