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OpenText Analytics Database (Vertica) vs TIBCO Live Datamart 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

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)
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 August 2026, in the Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.7%, down from 7.7% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.7%
TIBCO Live Datamart2.2%
Other92.1%
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

"Vertica is an excellent data warehouse platform."
"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."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."
"The initial setup was straightforward."
"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. The solution requires zero maintenance which is helpful."
"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."
"Certain research which was unattainable beforehand, now is in reach."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"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."
 

Cons

"It should provide a GUI interface for data management and tuning."
"OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud."
"It needs integration with multiple clouds."
"Node recovery is very inconsistent and impacts performance."
"But we're not sure yet, SQL Server is way more stable and predictable."
"The support was slow and didn’t provide a solution in most cases."
"Over the last few months with the new release of Vertica, there have been stability problems. The performance should improve."
"Stability is good, however the database crashed once because a query ran against a large XML data element."
"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

"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."
"The pricing for this solution is very reasonable compared to other vendors."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"From a cost perspective, the software is less than most of its competitors."
"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."
"The solution is free and we pay for the storage."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"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
9%
Computer Software Company
8%
Manufacturing Company
8%
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: August 2026.
908,834 professionals have used our research since 2012.