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Kovair Data Lake 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

Kovair Data Lake
Ranking in Data Warehouse
25th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
2
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 May 2026, in the Data Warehouse category, the mindshare of Kovair Data Lake is 1.5%, up from 0.5% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.7%, down from 8.4% 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%
Kovair Data Lake1.5%
Other92.8%
Data Warehouse
 

Featured Reviews

LuizKazan - PeerSpot reviewer
Head of Solutions at Embratel
Ability to interact with teachers in real-time and manage lessons after class
The deployment process is very fast. We have prepared the product to be easily installed, and we have had successful cases where it could be implemented in less than a few weeks. Moreover, Around three or four people in a call center are involved in maintaining the solution. We have a project manager, a service manager, and at least two or three system analysts who handle the maintenance. If there are any issues, we can open a support ticket for them to address.
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

"The most valuable feature is the ability to interact with teachers in real-time and manage lessons after class."
"The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities."
"The compute and processing engine returns the queries fast and let us use our analysis resources in a better utilization."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"Vertica is superior to other solutions in query performance."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace."
"Since we implemented the Vertica solution, it is much less effort to maintain scalability."
"SQLs querys 10 to 1 more fast that another commercial databases"
"Speed of columnar data."
"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."
 

Cons

"The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities."
"Maybe the chat conversation feature could be improved."
"I believe the installation process could be streamlined."
"I believe the installation process could be streamlined."
"They could improve on customer service."
"The support was slow and didn’t provide a solution in most cases."
"The integration with AI has room for improvement."
"Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."
"Profiling, query optimize, management."
"Better feedback from installation. I would like to see more meaningful errors returned and more graceful handling of those."
 

Pricing and Cost Advice

"I rate the tool's pricing a five out of ten."
"The solution is free and we pay for the storage."
"From a cost perspective, the software is less than most of its competitors."
"The pricing for this solution is very reasonable compared to other vendors."
"The solution is relatively cost-effective."
"Vertica is an expensive tool."
"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."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
8%
Comms Service Provider
7%
 

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

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

HSBC, NVIDIA, APPLIED MATERIALS, Allscripts, CISCO, Honeywell
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Kovair Data Lake vs. OpenText Analytics Database (Vertica) and other solutions. Updated: April 2026.
893,164 professionals have used our research since 2012.