OpenText Analytics Database (Vertica) vs TIBCO Live Datamart comparison

OpenText and TIBCO are both solutions in the Data Warehouse category. OpenText is ranked #6 with an average rating of 8.0, while TIBCO is ranked #22. OpenText holds a 5.0% mindshare in Data Warehouse, compared to TIBCO’s 2.1% 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

4,478 Views
2,105 Comparison Views

91% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

527 Views
390 Comparison Views

100% willing to recommend

OpenText Analytics Database...

TIBCO Live Datamart

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Executive SummaryUpdated on Dec 28, 2025

TIBCO Live Datamart and OpenText Analytics Database (Vertica) are both products in the data management and analytics category. TIBCO Live Datamart appears to be favored for its data management capabilities, while OpenText Analytics Database (Vertica) is viewed as offering more advanced features.

Features: TIBCO Live Datamart offers real-time data streaming, continuous query capability, and immediate insights for decision-making. OpenText Analytics Database Vertica delivers robust data analytics, high processing speed, and scalability for handling large-scale data volumes.

Ease of Deployment and Customer Service: TIBCO Live Datamart is recognized for simple deployment and quick setup time, making it suitable for short development cycles. OpenText Analytics Database Vertica often requires a comprehensive setup but provides extensive customer support, useful for long-term maintenance and troubleshooting.

Pricing and ROI: TIBCO Live Datamart generally requires a lower initial investment, suitable for smaller budgets, and offers a faster ROI due to its streamlined installation process. OpenText Analytics Database Vertica may have higher upfront costs, but its rich features could lead to substantial long-term financial gains.

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

Buyer's Guide

OpenText Analytics Database (Vertica) vs. TIBCO Live Datamart

March 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

6th

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

22nd

Average Rating

9.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of OpenText Analytics Database (Vertica) is 5.0%, down from 8.3% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.0%
TIBCO Live Datamart	2.1%
Other	92.9%

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

"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."

"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."

"Do you want to stand up a data warehouse in a reasonable amount of time using the in-house skills accustomed to dealing with an RDBMS? If that is the case, nothing beats Vertica, hands down."

"The most valuable feature of Vertica is the unmatchable database performance."

"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."

"The most valuable feature is the merge function, which is essentially the upsert function, and it has become our ELT pattern because, unlike when we used the ETL tool to manage upserts, the load time is now pretty much flat relative to the volume of records processed."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

More OpenText Analytics Database (Vertica) pros

"The solution has a powerful aggregating feature"

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

Cons

"We can’t use Vertica as a transactional database because it is unable to handle lot of transactions."

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

"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."

"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."

"More Machine Learning algorithms--Random Forest for sure!"

"Profiling, query optimize, management."

"Documentation has become much better, but can always use some improvement."

"I believe the installation process could be streamlined."

More OpenText Analytics Database (Vertica) cons

"The solution's setup could be quicker and easier."

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

Pricing and Cost Advice

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

"The solution is relatively cost-effective."

"The price could be cheaper and it is best to negotiate the price."

"The pricing could improve, it is a little expensive."

"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 has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."

"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 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."

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%

Computer Software Company

15%

Manufacturing Company

Marketing Services Firm

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	42

No data available

Questions from the Community

What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

See all answers

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) 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...

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Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 6% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 6% of the time

Amazon Redshift vs OpenText Analytics Database (Vertica)

Compared 5% of the time

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Kovair Data Lake vs TIBCO Live Datamart

Compared 10% of the time

IBM Netezza Performance Server vs TIBCO Live Datamart

Compared 8% of the time

Snowflake vs TIBCO Live Datamart

Compared 8% of the time

Teradata vs TIBCO Live Datamart

Compared 7% of the time

Infobright DB vs TIBCO Live Datamart

Compared 7% of the time

More TIBCO Live Datamart Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

March 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Data Warehouse

February 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 the industry’s first ultra fast continuous query processing engine made for live operational intelligence. It supports real-time data from anywhere, consumes live streaming data, and can connect to historical data in monolithic and edge systems by using either included data adapters or by leveraging the TIBCO integration platform. With its real-time computations against high-speed streaming data and continuous pushing of results to live queries, TIBCO Live Datamart offers users faster time to actionable insight and automated action.

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

March 2026

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

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