OpenText Analytics Database (Vertica) vs TIBCO Live Datamart comparison

OpenText and TIBCO are both solutions in the Data Warehouse category. OpenText is ranked #5 with an average rating of 8.2, while TIBCO is ranked #21. OpenText holds a 5.7% mindshare in Data Warehouse, compared to TIBCO’s 2.2% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

8,038 Views
4,421 Comparison Views

91% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

1,122 Views
864 Comparison Views

100% willing to recommend

OpenText Analytics Database...

TIBCO Live Datamart

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

TIBCO Live Datamart and OpenText Analytics Database (Vertica) compete in the analytics platform category. OpenText Analytics Vertica has the upper hand with its robust features for complex analytics tasks, benefiting comprehensive data analysis.

Features: TIBCO Live Datamart offers real-time data streaming, event processing, and analytics capabilities. OpenText Analytics Vertica provides advanced analytical functions, high concurrency support, and strong data handling capabilities.

Ease of Deployment and Customer Service: TIBCO Live Datamart is recognized for its seamless integration and fast deployment, alongside strong customer support. OpenText Analytics Vertica might require a more complex setup but offers high performance post-deployment.

Pricing and ROI: TIBCO Live Datamart generally has lower initial costs with a rapid ROI, being suitable for environments needing quick results. OpenText Analytics Vertica may involve a higher initial investment, which can be justified by its extensive analytical features. Both platforms offer tailored pricing strategies.

To learn more, read our detailed OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart Report (Updated: August 2026).

Buyer's Guide

OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart

August 2026

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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

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

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
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.7%
TIBCO Live Datamart	2.2%
Other	92.1%

Data Warehouse

Featured Reviews

Jitendrak Naik

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.

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Mohsin Pathan

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.

Read full review

Quotes from Members

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

Pros

"Query Performance."

"Initiate on one node, and the RPM propagates automatically to all other nodes. "

"OpenText Analytics Database (Vertica) has impacted my organization a lot in terms of driving the key results and giving the key insights to the leadership, and through those data points, a good amount of decisions have been made which was really helpful and impactful at an organizational level."

"Massive data ingestion performance."

"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."

"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."

"Vertica gives knowledgeable users and DBAs excellent tools for tuning."

"Vertica is very robust and recovers predictably from unexpected infrastructure failures."

More OpenText Analytics Database (Vertica) pros

"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."

"The solution has a powerful aggregating feature"

"You can create your own rules that include mathematic calculations."

Cons

"The explain plans are very difficult to read and understand; for one complex query the explain plan I printed out took in excess of 32 A4 pages and no visual tools were available that I could find."

"More ML, both data prep, models, evaluation and workflow."

"It needs integration with multiple clouds."

"We faced some challenges when trying to use the temporary tables feature."

"OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud."

"They could improve the integration and some of the features in the cloud version."

"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."

"Limitations in group by projections is where I would like to see an improvement."

More OpenText Analytics Database (Vertica) cons

"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."

"Improvements need to be made on the load balancing side."

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."

"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."

"It's free up to three nodes and 1TB, and then get in contact with their sales guys."

"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."

"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."

More OpenText Analytics Database (Vertica) pricing and cost advice

"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

Computer Software Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

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.

See all answers

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...

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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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Comparisons

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Compared 8% of the time

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Compared 7% of the time

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Compared 5% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

IBM Netezza Performance Server vs OpenText Analytics Database (Vertica)

Compared 4% of the time

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Compared 10% of the time

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Compared 9% of the time

Teradata vs TIBCO Live Datamart

Compared 6% of the time

Oracle Exadata vs TIBCO Live Datamart

Compared 6% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

July 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Data Warehouse

July 2026

Download TIBCO Live Datamart product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Streambase, TIBCO LiveView Data Mart

Overview

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

TIBCO Live Datamart is a dynamic data visualization platform that provides real-time insights by continuously analyzing streaming data, enabling businesses to make timely decisions.

This powerful platform allows for interactive, real-time data processing and monitoring, greatly enhancing decision-making capabilities by turning data into an actionable asset. It caters to industries requiring rapid responses by enabling a live view into streaming data, which can be customized to specific requirements and scales seamlessly with growing data needs.

What key features define TIBCO Live Datamart?

Real-time Data Streaming: Delivers instant updates and insights from continuous data streams.
Interactive Dashboards: Offers customizable dashboards for personalized data visualization.
Event-driven Architecture: Helps in identifying and responding to events as they occur.
Scalability: Supports expanding data workflows without losing performance.

What benefits should users look for in TIBCO Live Datamart reviews?

Increased Efficiency: Streamlines data processing to improve workflow efficiency.
Enhanced Decision-making: Provides immediate insights for quick strategic decisions.
Customization Flexibility: Allows for tailored data views catering to specific needs.
Cost-effective: Reduces operational costs by optimizing data management processes.

TIBCO Live Datamart is often implemented in industries like finance and telecommunications, where rapid decision-making is essential. For example, in finance, it tracks stock market data in real-time, enabling traders to react quickly to market changes. In telecommunications, it monitors network traffic, ensuring optimal performance and prompt issue resolution.

TIBCO

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

Buyer's Guide

OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart

August 2026

Free Report: OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart

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