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Infobright DB vs OpenText Analytics Database (Vertica) comparison

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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

Infobright DB
Ranking in Data Warehouse
20th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (38th)
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 (12th)
 

Mindshare comparison

As of November 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.2%, up from 1.1% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 6.5%, up from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)6.5%
Infobright DB2.2%
Other91.3%
Data Warehouse
 

Featured Reviews

it_user708987 - PeerSpot reviewer
MySQL DBA at a financial services firm with 51-200 employees
Excellent reporting server that is compatible with MySQL
We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.
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 performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."
"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"It is very straightforward and easy to work with."
"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."
"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."
"The high compression and the relatively fast load for a free product."
"ICE helped us improve the speed for the “group-by” query by 10x."
"Vertica stands top among its peers in the MPP world, delivering unparalleled speed and performance in query response time."
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"Analytical features are amazing, the integration is wonderful."
"Vertica is easy to use and provides really high performance, stability, and scalability."
"OpenText Analytics Database (Vertica) has impacted my organization a lot in terms of driving the key results and giving the key insights to the leadership, and through those data points, a good amount of decisions have been made which was really helpful and impactful at an organizational level."
"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."
"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."
"Customer Service: Excellent Technical Support: Very good"
 

Cons

"There was no scalability at all. Infobright didn't permit any changes in tables."
"MPP, distributed processing!!! And better integration with Hadoop."
"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."
"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."
"When running a complex subquery, the system hangs without giving the user any response."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."
"Stability is good, however the database crashed once because a query ran against a large XML data element."
"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."
"I'd rate technical support as low to average. The tech support provides the usual canned response."
"I'm concerned that HP Enterprise has sold their software business, and worry about future investment to enhance predictive/machine-learning capabilities."
"There have been some issues with deleting and updating data from tables."
"When it is about to reach the maximum storage capacity, it becomes slow."
"Some GUI tools out of the box, better Python integration. I would love to see some nice query engine, tooled specifically to Vertica extensions of SQL (with IntelliSense)."
"In data streaming ROS containers is a pain to work with."
 

Pricing and Cost Advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
"The solution is relatively cost-effective."
"The solution is free and we pay for the storage."
"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 is fast to purchase through the AWS Marketplace."
"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 pricing could improve, it is a little expensive."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
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Top Industries

By visitors reading reviews
Manufacturing Company
22%
Construction Company
14%
Comms Service Provider
12%
Outsourcing Company
10%
Financial Services Firm
16%
Outsourcing Company
13%
Manufacturing Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise2
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

Infobright
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Infobright DB vs. OpenText Analytics Database (Vertica) and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.