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IBM Integrated Analytics 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

IBM Integrated Analytics Sy...
Ranking in Data Warehouse
24th
Average Rating
8.0
Reviews Sentiment
7.6
Number of Reviews
1
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 (10th)
 

Mindshare comparison

As of April 2026, in the Data Warehouse category, the mindshare of IBM Integrated Analytics System is 1.7%, up from 0.8% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.1%, down from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.1%
IBM Integrated Analytics System1.7%
Other93.2%
Data Warehouse
 

Featured Reviews

it_user258975 - PeerSpot reviewer
Senior Information Management Specialist at a tech services company with 501-1,000 employees
They deliver a canned, scalable solution, but I would like to see the TSA scripts available publicly.
With a solid DB2 foundation, it performs incredibly and I recently implemented the new BLU Acceleration, and was dumbfounded that hour-long queries took minutes, in the correct scenario, of course. From a consultant point of view, I can step in and immediately know the system. I do not…
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

"With a solid DB2 foundation, it performs incredibly and I recently implemented the new BLU Acceleration, and was dumbfounded that hour-long queries took minutes, in the correct scenario, of course."
"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."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Massive data ingestion performance"
"The solution is quick, has good compression data, and is not expensive."
"OpenText Analytics Database (Vertica) has impacted our organization positively because earlier we used to use Teradata, and it was very slow, creating issues with processing as well, and OpenText Analytics Database (Vertica) has helped us a lot in terms of processing capabilities and the speed of querying."
"We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data."
"Allows us to take volumes and process them at a very high speed."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
 

Cons

"The HA - it's a good solution, but I feel IBM should provide the necessary scripts so you can destroy the TSA domain and rebuild it easily."
"In a future release, we would like to have artificial intelligence capabilities like neural networks."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"In data streaming ROS containers is a pain to work with."
"They could improve the integration and some of the features in the cloud version."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Like everything else HP has support for, the support is very poor."
 

Pricing and Cost Advice

Information not available
"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."
"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 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."
"It's an expensive product"
"The price of Vertica is less expensive than some competitors, such as Teradata."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The solution is free and we pay for the storage."
"Vertica is an expensive tool."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
14%
Manufacturing Company
7%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

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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?
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...
 

Also Known As

Smart Analytics System, IBM Smart Analytics System
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

WIdO AOK, EEKA Fashion, SSGC, GS Retail
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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