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Infobright DB vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 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

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 (34th)
OpenText Analytics Database...
Ranking in Data Warehouse
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (11th)
 

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Infobright DB is 2.1%, up from 0.4% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.0%, down from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.0%
Infobright DB2.1%
Other92.9%
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 high compression and the relatively fast load for a free product."
"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 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."
"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."
"ICE helped us improve the speed for the “group-by” query by 10x."
"It is enterprise ready and a hugely cheaper option than some, and in like-for-like comparisons between HP Vertica and Oracle Exadata (workload and timings), Vertica was faster than Oracle in all but the biggest and most complex of queries."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"The product's initial setup phase is extremely simple."
"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"We could run group by queries thousand of times faster, we are able to test more models and improve accuracy."
"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."
"Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution."
 

Cons

"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."
"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."
"There was no scalability at all. Infobright didn't permit any changes in tables."
"When running a complex subquery, the system hangs without giving the user any response."
"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."
"MPP, distributed processing!!! And better integration with Hadoop."
"Machine learning implementations."
"I really would like to see Vertica able to use heterogeneous storage (RAM, SSD, HDD). Another issue I have seen is that the SQL optimizer fails to make optimizations that competing products are able to do."
"Limitations in group by projections is where I would like to see an improvement."
"We can’t use Vertica as a transactional database because it is unable to handle lot of transactions."
"The biggest problem is the cost of cloud deployment."
"Pricing could be more competitive."
"Even with some optimization (adding projections for merge joins and grouped by pipelined), it's still taking a longer time than a Spark job in some cases."
"I would love to see direct connections to other DMSs."
 

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 price could be cheaper and it is best to negotiate the price."
"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."
"From a cost perspective, the software is less than most of its competitors."
"The pricing for this solution is very reasonable compared to other vendors."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"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."
"Vertica is an expensive tool."
"The solution is relatively cost-effective."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
8%
Marketing Services Firm
5%
 

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 Enterprise42
 

Questions from the Community

Ask a question
Earn 20 points
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) can be improved by adding some more features in analytics. OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which featu...
 

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: March 2026.
884,873 professionals have used our research since 2012.