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IBM Integrated Analytics 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

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
7th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (12th)
 

Mindshare comparison

As of September 2026, in the Data Warehouse category, the mindshare of IBM Integrated Analytics System is 1.7%, up from 1.0% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.6%, down from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.6%
IBM Integrated Analytics System1.7%
Other92.7%
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 solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"It provides very fast query performance after good designs of projections."
"We are trying to data mine customer event data, and having the ability to invoke analytic functions without having to write self-join SQL statements is just brilliant."
"Vertica is very robust and recovers predictably from unexpected infrastructure failures."
"Vertica is superior to other solutions in query performance."
"OpenText Analytics Database (Vertica) has positively impacted our organization by helping us reduce storage costs and improve reporting efficiency in our fintech company."
"Speed of columnar data."
"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."
 

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."
"The support was slow and didn’t provide a solution in most cases."
"The geospatial functionality could be designed better."
"It needs integration with multiple clouds."
"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."
"Better feedback from installation. I would like to see more meaningful errors returned and more graceful handling of those."
"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."
"There are some predictive analytics features that we might be using which we thought were part of IDOL, but it seems some are also already part of Vertica."
"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."
 

Pricing and Cost Advice

Information not available
"I am aware that we have licensed it, but I have no knowledge of its cost."
"Vertica is an expensive tool."
"The solution is relatively cost-effective."
"It is fast to purchase through the AWS Marketplace."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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."
"It's an expensive product"
"The pricing for this solution is very reasonable compared to other vendors."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Outsourcing Company
13%
Comms Service Provider
8%
Computer Software Company
8%
 

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 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

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.
Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: September 2026.
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