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Kovair Data Lake vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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
18th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Data Warehouse
5th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of May 2025, in the Data Warehouse category, the mindshare of Kovair Data Lake is 0.6%, up from 0.2% compared to the previous year. The mindshare of Vertica is 8.5%, down from 8.9% 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 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."
"Eighty percent of the ETL operations have improved since implementing this solution."
"The product's initial setup phase is extremely simple."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The initial setup was straightforward."
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
 

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."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"Documentation has become much better, but can always use some improvement."
"It needs integration with multiple clouds."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"I have found that coding support could be simplified."
"Very bad support, I would rate it two out of 10."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"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."
 

Pricing and Cost Advice

"I rate the tool's pricing a five out of ten."
"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."
"The pricing could improve, it is a little expensive."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"The price could be cheaper and it is best to negotiate the price."
"It's an expensive product"
"Read the fine print carefully."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
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.
 

Comparisons

No data available
 

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. Vertica and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.