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Kovair Data Lake vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 19, 2025

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
19th
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
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (10th)
 

Mindshare comparison

As of August 2025, in the Data Warehouse category, the mindshare of Kovair Data Lake is 0.7%, up from 0.3% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 7.8%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

LuizKazan - PeerSpot reviewer
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.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"Vertica uses advanced Azure technologies to compress raw data using indexing, allowing a large amount of data to be stored with minimal physical space. Advanced algorithms are employed in data compression."
"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. ​"
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Allows us to take volumes and process them at a very high speed."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"Partition and join back to node are easy and simple for DBAs."
 

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."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"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."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"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."
"The biggest problem is the cost of cloud deployment."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"Support is an area where it could get better."
 

Pricing and Cost Advice

"I rate the tool's pricing a five out of ten."
"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."
"The solution is free and we pay for the storage."
"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
"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."
"Read the fine print carefully."
"The pricing for this solution is very reasonable compared to other vendors."
"Vertica is an expensive tool."
"The price could be cheaper and it is best to negotiate the price."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
9%
Comms Service Provider
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Kovair Data Lake?
The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities.
What needs improvement with Kovair Data Lake?
The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities.
What is your primary use case for Kovair Data Lake?
I primarily use Kovair Data Lake for data analytics use cases. This involves data cleansing and gaining business intelligence.
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?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

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: July 2025.
865,384 professionals have used our research since 2012.