No more typing reviews! Try our Samantha, our new voice AI agent.

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
18th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (34th)
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 June 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.4%, up from 0.5% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.8%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.8%
Infobright DB2.4%
Other91.8%
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

"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."
"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."
"The high compression and the relatively fast load for a free product."
"The performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."
"We now have multiple times faster queries in comparison to MS SQL."
"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."
"I found the columnar storage, which increases performance of sequential record access, to be the most valuable feature."
"Vertica is superior to other solutions in query performance."
"A SQL-based compute platform like Vertica enables far less human overhead in operations and analytics."
"The data warehouse has exceedingly high performance and has the ability to do large scale queries very effectively."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The most valuable feature of Vertica is the unmatchable database performance at a fraction of cost compared to other similar databases."
"The solution is quick, has good compression data, and is not expensive."
"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."
 

Cons

"There was no scalability at all. Infobright didn't permit any changes in tables."
"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"When running a complex subquery, the system hangs without giving the user any response."
"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."
"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."
"MPP, distributed processing!!! And better integration with Hadoop."
"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
"There is serious performance degradation for large datasets."
"More ML, both data prep, models, evaluation and workflow."
"Vertica is relatively new and needs some polish and refinement, but its core functionality is excellent."
"Documentation has become much better, but can always use some improvement."
"In the versions I worked with, if a majority of the nodes were being loaded under heavy, sustained rates the nodes would see some dramatic decreases in performance due to the data shuffling that needed to occur between all the nodes."
"Sometimes users write bad queries that has brought down the cluster."
"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."
"Their support is really bad. Maybe Micro Focus has changed but they were not good before."
 

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."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The price could be cheaper and it is best to negotiate the price."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"The pricing for this solution is very reasonable compared to other vendors."
"The pricing could improve, it is a little expensive."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"Read the fine print carefully."
"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."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
900,644 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
19%
Construction Company
12%
Comms Service Provider
11%
Outsourcing Company
10%
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing Company
9%
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: June 2026.
900,644 professionals have used our research since 2012.