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OpenText Analytics Database (Vertica) vs TIBCO Live Datamart 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

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)
TIBCO Live Datamart
Ranking in Data Warehouse
21st
Average Rating
9.0
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 6.3%, down from 6.7% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.4%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)6.3%
TIBCO Live Datamart2.4%
Other91.3%
Data Warehouse
 

Featured Reviews

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.
Mohsin Pathan - PeerSpot reviewer
Associate Vice President - Solutions, presales & services at Bahwan CyberTek
Standout features are real-time dashboards and powerful aggregation
This product has a powerful aggregating feature which is great. It also has its own APIs. Whenever the data comes in, it can be streamed out anywhere. It's the only solution that provides real-time dashboards. Tableau doesn't have this feature. The three variants of historical data, real-time data and predicted data from Spitfire, give more strength to LiveDatamart without any dependency on other products. The product is easy to set up with very low maintenance required.

Quotes from Members

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

Pros

"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."
"Vertica is very robust and recovers predictably from unexpected infrastructure failures."
"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."
"With the addition of Vertica to handle big data queries, these reports are now returned in under 15 seconds."
"It provides very fast query performance after good designs of projections."
"Data Warehouse response times have decreased of one order of magnitude with respect to the previous solution (SQL Server + Oracle)."
"Eighty percent of the ETL operations have improved since implementing this solution."
"Customer Service: Great Technical Support: Great"
"The three variants of historical data, real-time data and predicted data from Spitfire, give more strength to LiveDatamart without any dependency on other products."
"The solution is mature and stable, even more so since it was acquired by TIBCO."
"You can create your own rules that include mathematic calculations."
"The solution has a powerful aggregating feature"
 

Cons

"There are some predictive analytics features that we might be using which we thought were part of IDOL, but it seems some are also already part of Vertica."
"Their support is really bad. Maybe Micro Focus has changed but they were not good before."
"There have been some issues with deleting and updating data from tables."
"Profiling, query optimize, management."
"Like everything else HP has support for, the support is very poor."
"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."
"Node recovery is very inconsistent and impacts performance."
"vbr.py needs to be improve to support diff no of nodes source to target."
"Improvements need to be made on the load balancing side."
"Live Datamart runs on JVM which only holds Java and only 60 GB of data. If you try to get more out of it than that, it crashes."
"The solution's setup could be quicker and easier."
 

Pricing and Cost Advice

"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 free up to three nodes and 1TB, and then get in contact with their sales guys."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Read the fine print carefully."
"It is fast to purchase through the AWS Marketplace."
"Vertica is an expensive tool."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"The solution might be considered a bit expensive because it competes with open-source products."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Outsourcing Company
13%
Manufacturing Company
10%
Comms Service Provider
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
No data available
 

Questions from the Community

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...
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Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Streambase, TIBCO LiveView Data Mart
 

Overview

 

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
Find out what your peers are saying about OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart and other solutions. Updated: October 2026.
917,433 professionals have used our research since 2012.