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

 

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
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of August 2026, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 2.3%, up from 1.0% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.7%, down from 7.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.7%
Microsoft Analytics Platform System2.3%
Other92.0%
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

"By combining both Microsoft Parallel Data Warehouse (PDW) and unstructured Hadoop analytical capabilities in a single, easy-to-manage EDW appliance, Microsoft APS is well positioned to help organizations use information to enhance their competitive position."
"I like that it's integrated with other Azure products."
"This is a well-integrated solution and that integration empowers results."
"Helps our customers to discover trends, which provides useful information based on their business."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"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."
"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."
"We are using Vertica because it is a fast and reliable data warehousing tool and provides us a very good data compression ratio."
"Certain research which was unattainable beforehand, now is in reach."
"Great product, very mature and robust."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"The service and support from Vertica was excellent. Every tech and sales rep I dealt with was very responsive, pleasant, and helped me solve any engineering issues we ran into in very short order."
"I enjoy the cybersecurity and backup features."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"Speed and resiliency are probably the best parts of this product."
 

Cons

"The pricing model needs to be improved."
"In general, I am not really very satisfied with the tutorials that are out there."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"However, centralized EDW tends to be extremely expensive and very inflexible."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"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."
"The trouble is Microsoft has changed their licensing. It's an extremely expensive product now."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Their support is really bad. Maybe Micro Focus has changed but they were not good before."
"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."
"The support was slow and didn’t provide a solution in most cases."
"The integration with AI has room for improvement."
"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."
"Improve Vertica logging and messages to Vertica startup commands."
"If your product has lots of concurrent queries this solution is not suitable for you, or you need to implement a cache layer."
"When it is about to reach the maximum storage capacity, it becomes slow."
 

Pricing and Cost Advice

"Users have to pay extra for premium-level technical support."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"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 initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"The solution is free and we pay for the storage."
"The pricing could improve, it is a little expensive."
"From a cost perspective, the software is less than most of its competitors."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"It's an expensive product"
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Outsourcing Company
9%
Computer Software Company
8%
Manufacturing Company
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: August 2026.
909,725 professionals have used our research since 2012.