OpenText Analytics Database (Vertica) vs VMware Tanzu Data Solutions comparison

OpenText Analytics Database (Vertica) vs. VMware Tanzu Data Solutions

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:

ROI

Sentiment score

6.2

Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.

Sentiment score

7.2

Organizations praise VMware Tanzu for high performance, favorable pricing, minimal downtimes, and value-driven long-term engagement benefits.

I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.

For more quotes and insights, download the VMware Tanzu Data Solutions report

Customer Service

Sentiment score

7.1

OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.

Sentiment score

6.6

VMware Tanzu Data Solutions' support is highly rated, with efficient problem resolution and valuable guidance, despite occasional delays on complex issues.

Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

consultant at tcs

If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.

Sr. Manager at STI INFOTECH PVT LTD

Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.

For more quotes and insights, download the VMware Tanzu Data Solutions report

Scalability Issues

Sentiment score

7.2

OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.

Sentiment score

7.3

VMware Tanzu Data Solutions offers mixed scalability, performing well for some users but facing bottlenecks and hardware challenges for others.

We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.

consultant at tcs

OpenText Analytics Database (Vertica) has very good scalability.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

Analytics Manager at a wholesaler/distributor with 10,001+ employees

Most of our functions or jobs are queued due to that.

Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

For more quotes and insights, download the VMware Tanzu Data Solutions report

Stability Issues

Sentiment score

7.2

OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.

Sentiment score

7.0

VMware Tanzu Data Solutions is generally stable, with improvements in version 8.2, though some face issues in specific scenarios.

OpenText Analytics Database (Vertica) is very stable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.

Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

For more quotes and insights, download the VMware Tanzu Data Solutions report

Room For Improvement

OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.

VMware Tanzu Data Solutions struggles with pricing, installation, modular features, and big data integration, frustrating users.

Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.

consultant at tcs

Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

They are losing business.

Sr. Manager at STI INFOTECH PVT LTD

VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.

For more quotes and insights, download the VMware Tanzu Data Solutions report

Setup Cost

OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.

VMware Tanzu Data Solutions offers an open-source platform with cost-effective licensing for added features and support options.

The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.

For more quotes and insights, download the VMware Tanzu Data Solutions report

Valuable Features

OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.

VMware Tanzu Data Solutions offers multi-cloud management, Kubernetes integration, scalability, and reliable performance with robust data transformation and messaging features.

I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.

consultant at tcs

The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

The principal aspect is the creation of Kubernetes clusters.

VMware Tanzu Data Solutions has no limitation. We can meet the maximum customer requirements.

For more quotes and insights, download the VMware Tanzu Data Solutions report

Sr. Manager at STI INFOTECH PVT LTD

The product is not complex; I do not have to create stored procedures, functions, or views.

Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

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)

VMware Tanzu Data Solutions

Ranking in Data Warehouse

10th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database Development and Management (5th), Relational Databases Tools (12th), Message Queue (MQ) Software (5th)

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 VMware Tanzu Data Solutions is 4.0%, up from 3.9% 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%
VMware Tanzu Data Solutions	4.0%
Other	91.0%

Data Warehouse

Featured Reviews

Data warehousing has transformed reporting performance and now delivers near real-time insights

consultant at tcs

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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Improved multi-cloud data management has simplified operations and supports seamless Kubernetes

Sr. Manager at STI INFOTECH PVT LTD

From my perspective, the biggest challenge with VMware right now is the pricing. To be very honest, in many cases I find myself recommending alternative solutions instead of VMware. Even if those alternatives come with a bit more complexity, customers are often more willing to accept that than the current VMware pricing model. In the past, VMware used a socket-based licensing model, which was easier for customers to understand and budget for. Now the shift to a core-based licensing model has significantly increased costs for many environments, especially for organizations running modern high-core CPUs. One positive aspect of the new model is that VMware has bundled several components together. For example, earlier when deploying vSphere, customers also had to purchase vCenter separately for management. Now multiple components are packaged into a single SKU, which simplifies some aspects of procurement and deployment. While this consolidation has its benefits, the overall licensing and commercial costs remain very high. Pricing is not the only issue. I believe Broadcom also needs to reconsider its strategy in light of the current market conditions. The approach they are taking may be strategic from a business perspective, but from what I see in the field, it is leading to lost opportunities. Many customers who previously relied on VMware are now actively exploring alternative virtualization platforms. I’m not sure where this direction will ultimately lead, but based on my experience, it is already affecting adoption. Since you’ve been trying to reach me for some time—and we also had a discussion a couple of years ago—I hope this feedback helps Broadcom understand the current sentiment in the market and potentially make adjustments. Another important concern is the way features are bundled. In many cases, customers only need basic virtualization and high availability capabilities. However, the current packaging often includes additional features that they may not need. A good analogy is that if a customer only needs an entry-level car, we shouldn’t be forced to sell them a Rolls-Royce. VMware could benefit from adopting a more modular or à la carte licensing model, where customers can choose only the components they truly require. For example, if a customer only needs core virtualization functionality, they should be able to purchase just that. This would allow partners and solution providers to better align solutions with customer requirements and position VMware more competitively in the market. Another challenge I want to highlight is the pricing model based on U.S. dollars and the way multi-year licensing is handled. In many enterprise and government projects, customers prefer to commit to three-year or five-year licenses and pay the full amount upfront. However, in approximately 20% of the deals I work on, we lose opportunities because VMware only provides dollar-based pricing for the first year. When it comes to the following years, the contract requires renewals annually rather than allowing a fixed multi-year upfront payment. This approach is particularly problematic for government and public sector customers. Many of them are ready and willing to pay for three or five years in advance, but the current VMware model does not support that structure effectively. Because pricing is tied to the U.S. dollar and subject to yearly adjustments, VMware does not lock in pricing for the full term. From a customer’s perspective, this introduces uncertainty and makes procurement more complicated. Ideally, if a price is quoted—for example, $100 per year—it should remain consistent across a multi-year agreement. Customers would be comfortable committing to a five-year term if the price were fixed and predictable. Unfortunately, that flexibility is currently not available across VMware products, whether it is vSphere, VMware Tanzu solutions, or other offerings. For large enterprise environments, one-year commitments are usually not practical. Many enterprise customers prefer longer-term agreements for budgeting and procurement reasons. Even when they are willing to accept the higher cost associated with the core-based licensing model, the lack of a clear multi-year upfront option often becomes a deal-breaker.

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884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

Marketing Services Firm

Financial Services Firm

13%

Manufacturing Company

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	42

By reviewers
Company Size	Count
Small Business	30
Midsize Enterprise	11
Large Enterprise	49

Questions from the Community

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...

How does IBM MQ compare with VMware RabbitMQ?

IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocol...

What do you like most about VMware RabbitMQ?

RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the pro...

What is your experience regarding pricing and costs for VMware RabbitMQ?

The product is free of cost.

Snowflake vs OpenText Analytics Database (Vertica)

Comparisons

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IBM MQ vs VMware Tanzu Data Solutions

Compared 5% of the time

Oracle Exadata vs VMware Tanzu Data Solutions

Compared 5% of the time

Snowflake vs VMware Tanzu Data Solutions

Compared 4% of the time

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Product Reports

OpenText Analytics Database (Vertica)

March 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

VMware Tanzu Data Solutions

February 2026

Download VMware Tanzu Data Solutions product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres

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

VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.

Broadcom

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University