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Infobright DB 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

Infobright DB
Ranking in Data Warehouse
19th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (33rd)
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 May 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.3%, up from 0.5% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.7%, down from 8.4% 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%
Infobright DB2.3%
Other92.0%
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

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
"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."
"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."
"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."
"We now have multiple times faster queries in comparison to MS SQL."
"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."
"It is very straightforward and easy to work with."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"Massive data ingestion performance."
"This solution has allowed us to reduce the creation of summarized tables, as the user can perform queries on the fly."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"The implementation itself is excellent with fantastic features, speed and scalability."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"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."
 

Cons

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"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."
"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."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"MPP, distributed processing!!! And better integration with Hadoop."
"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."
"There was no scalability at all. Infobright didn't permit any changes in tables."
"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)."
"Support is an area where it could get better."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"The biggest problem is the cost of cloud deployment."
"I think it's starting to get a little expensive."
"More ML, both data prep, models, evaluation and workflow."
"The biggest problem is the cost of cloud deployment."
"OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud."
 

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."
"From a cost perspective, the software is less than most of its competitors."
"It's an expensive product"
"The solution is free and we pay for the storage."
"It is fast to purchase through the AWS Marketplace."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"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."
"Vertica is an expensive tool."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Comms Service Provider
12%
University
9%
Construction Company
9%
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
8%
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

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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?
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...
 

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: May 2026.
893,244 professionals have used our research since 2012.