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OpenText Analytics Database (Vertica) vs Oracle Big Data Appliance 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

OpenText Analytics Database...
Ranking in Data Warehouse
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (11th)
Oracle Big Data Appliance
Ranking in Data Warehouse
19th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 7.9%, down from 9.2% compared to the previous year. The mindshare of Oracle Big Data Appliance is 1.4%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

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…
Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The extensibility and efficiency provided by their C++ SDK."
"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."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The most valuable feature of Vertica is the unmatchable database performance."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The initial setup was straightforward."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
 

Cons

"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."
"Support is an area where it could get better."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"I believe the installation process could be streamlined."
"Pricing could be more competitive."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The product should be simplified for the average user."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
 

Pricing and Cost Advice

"From a cost perspective, the software is less than most of its competitors."
"The solution is free and we pay for the storage."
"The solution is relatively cost-effective."
"The pricing could improve, it is a little expensive."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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."
"It's an expensive product"
"I am aware that we have licensed it, but I have no knowledge of its cost."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
8%
Comms Service Provider
4%
Financial Services Firm
29%
Computer Software Company
15%
Government
10%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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.
Ask a question
Earn 20 points
 

Also Known As

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

Overview

 

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Caixa Bank
Find out what your peers are saying about OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance and other solutions. Updated: May 2025.
859,129 professionals have used our research since 2012.