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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
23rd
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 August 2026, in the Data Warehouse category, the mindshare of Kovair Data Lake is 1.6%, up from 0.6% 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%
Kovair Data Lake1.6%
Other92.7%
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 tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities."
"The most valuable feature is the ability to interact with teachers in real-time and manage lessons after class."
"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."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. ​"
"We are using Vertica because it is a fast and reliable data warehousing tool and provides us a very good data compression ratio."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"I enjoy the cybersecurity and backup features."
"Scalability has been amazing; we have seen a lot of improvement and can describe our clusters by petabytes and scale them by the number of users, with one project having 15 to 20 consecutive users dealing with petabytes of storage."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"Vertica is superior to other solutions in query performance."
 

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."
"More ML, both data prep, models, evaluation and workflow."
"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 can improve automation and documentation. Additionally, the solution can be simplified."
"Profiling, query optimize, management."
"Node recovery is very inconsistent and impacts performance."
"The product could be less expensive and could benefit from a better marketing strategy."
"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."
"There have been some issues with deleting and updating data from tables."
 

Pricing and Cost Advice

"I rate the tool's pricing a five out of ten."
"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 could be cheaper and it is best to negotiate the price."
"It is fast to purchase through the AWS Marketplace."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"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).​"
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The solution is relatively cost-effective."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Outsourcing Company
9%
Computer Software Company
9%
Manufacturing 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

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

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: August 2026.
908,800 professionals have used our research since 2012.