OpenText Analytics Database (Vertica) vs Oracle Big Data Appliance comparison

OpenText and Oracle are both solutions in the Data Warehouse category. OpenText is ranked #5 with an average rating of 8.2, while Oracle is ranked #15 with an average rating of 8.0. OpenText holds a 5.7% mindshare in Data Warehouse, compared to Oracle’s 2.6% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 75% of Oracle 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

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

1,559 Views
1,232 Comparison Views

75% willing to recommend

OpenText Analytics Database...

Oracle Big Data Appliance

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Executive SummaryUpdated on Mar 29, 2026

OpenText Analytics Database Vertica and Oracle Big Data Appliance compete in data analytics and big data management, with Oracle often seen as superior due to its robust feature set, while Vertica excels in pricing and customer support.

Features: Vertica is known for its remarkable speed and performance in managing large-scale analytical queries, providing real-time analytics. It supports diverse integration with BI tools like Power BI and Tableau. Vertica's architecture allows for scalable storage options such as Amazon S3, helping reduce costs. Oracle Big Data Appliance provides a comprehensive solution for managing big data with integrated hardware and software. It supports various data processing frameworks and enhances data accessibility through its subject area resource lists, allowing users to create reports with ease.

Room for Improvement: Vertica could enhance its popularity among other traditional databases such as Oracle and improve its user interface. Additionally, Vertica's backup and recovery features could be further refined. Oracle Big Data Appliance's initial hardware investment remains a burden for some organizations. Its customer service accessibility could be improved, and the platform could benefit from more affordable storage solutions.

Ease of Deployment and Customer Service: Vertica offers a straightforward deployment model with efficient, reduced complexity and strong customer support through dedicated channels. Oracle Big Data Appliance provides an engineered system with pre-integrated software and hardware for streamlined deployment, though its customer service may not match Vertica's accessibility.

Pricing and ROI: Vertica is recognized for its competitive pricing structure, offering cost-effective solutions leading to a faster ROI for small to mid-sized businesses. Oracle Big Data Appliance requires a significant initial investment but promises a higher ROI through its comprehensive and high-scale processing capabilities, making it appealing to large enterprises with extensive data needs.

To learn more, read our detailed OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance Report (Updated: August 2026).

Buyer's Guide

OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance

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)

Oracle Big Data Appliance

Ranking in Data Warehouse

15th

Average Rating

8.0

Reviews Sentiment

6.8

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 Oracle Big Data Appliance is 2.6%, up from 1.3% 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%
Oracle Big Data Appliance	2.6%
Other	91.7%

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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reviewer1031826

Analytics Lead at a tech vendor with 10,001+ employees

Platinum partnership leverages advanced storage and fosters seamless data integration

Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less than even one-fourth or one-fifth of the Oracle price. For my side, the last time I worked with Oracle was in '21, '22. The price is a challenge that they have to look after. From the storage and data management perspective, I cannot recall anything that they have to improve, but they have to improve the visualization part significantly because they offer Oracle BI, which is an extremely not-matured application.

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Quotes from Members

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

Pros

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

"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."

"It is tremendously scalability, with excellent performance."

"Certain research which was unattainable beforehand, now is in reach."

"Eighty percent of the ETL operations have improved since implementing this solution."

"We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data."

"Any novice user can tune vertical queries with minimal training (or no training at all)."

"Since we implemented the Vertica solution, it is much less effort to maintain scalability."

More OpenText Analytics Database (Vertica) pros

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

"The best feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."

"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."

"The most valuable feature is that it can be used in conjunction with Spark memory processing, and our processing time has gone to 20 minutes from what used to be two or three hours on the mainframe."

"We could work on large unstructured datasets from different parts of the world on Facebook and Twitter to get better insights."

"This is a comprehensive solution that is easy to deploy."

"Big Data responds to my needs."

Cons

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

"There have been some issues with deleting and updating data from tables."

"It needs integration with multiple clouds."

"Fact-to-fact joins on multi-billion record tables perform poorly."

"Machine learning implementations."

"OpenText Analytics Database (Vertica) does not support hard delete, and they perform soft delete, which is the case with all columnar databases."

"It would be great if this were a managed service in AWS."

"Vertica can improve automation and documentation. Additionally, the solution can be simplified."

More OpenText Analytics Database (Vertica) cons

"We had to pursue several performance tuning measures to bring up the system to scale."

"Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition; we have so many technologies that have come to the market for less than even one-fourth or one-fifth of the Oracle price."

"We need to display the results on our website. I think there is another product that joins with it to give you the possibility."

"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

"The product should be simplified for the average user."

Pricing and Cost Advice

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

"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."

"The solution is relatively cost-effective."

"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."

"The pricing and licensing depend on the size of your environment and the zone where you want to implement."

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

"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."

"From a cost perspective, the software is less than most of its competitors."

More OpenText Analytics Database (Vertica) pricing and cost advice

"Oracle's prices are too high compared to others in the market."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

Computer Software Company

Manufacturing Company

Financial Services Firm

20%

Manufacturing Company

13%

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	7

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...

See all answers

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...

See all answers

What needs improvement with Oracle Big Data Appliance?

See all answers

What is your primary use case for Oracle Big Data Appliance?

The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...

See all answers

Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

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

More OpenText Analytics Database (Vertica) Competitors

SAP BW4HANA vs Oracle Big Data Appliance

Compared 12% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 9% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 8% of the time

Oracle Exadata vs Oracle Big Data Appliance

Compared 8% of the time

Snowflake vs Oracle Big Data Appliance

Compared 4% of the time

More Oracle Big Data Appliance Competitors

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 Oracle Big Data Appliance product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

No data available

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

Oracle Big Data Appliance offers a comprehensive platform integrating ZFS technology and supporting Spark, designed to boost performance with Hadoop distributions, ensuring data security and accessibility across multiple languages.

Oracle Big Data Appliance presents an adaptable solution facilitating data consolidation with robust storage technology, crucial for central data repositories. Its Spark in-memory processing significantly reduces time through seamless integration with Hadoop distributions like Hortonworks and Cloudera. Role-based security enhances organizational data access, while multi-language support meets diverse processing requirements. Although challenges exist in AI capabilities and visualization tool efficiency, the platform remains valuable for entity-wide deployment.

What key features does Oracle Big Data Appliance offer?

Drag-and-Drop Interface: Enables non-technical users to build reports effortlessly.
ZFS Technology: Provides cost-effective storage solutions.
Spark on YARN Support: Enhances Hadoop performance with faster processing.
Security Roles: Ensures data access alignment with user privileges.
Multi-Language Support: Assists in handling diverse language processing needs.

What benefits should users look for when evaluating Oracle Big Data Appliance?

Centralized Data Management: Avoids the need for additional data warehouses.
Regulatory Reporting Facilitation: Eases compliance processes in sectors like Medicare.
Role-Based Reporting: Empowers end-users to create reports based on specific needs.
Consultation Integrations: Supports seamless data management when coupled with external services.

Oracle Big Data Appliance is predominantly used in healthcare and financial services, where data consolidation and regulatory compliance are crucial. Entities leverage Oracle's storage capabilities to maintain centralized repositories, expediting regulatory reporting and claim management processes, particularly benefiting sectors like Medicare. Consulting services frequently integrate Oracle platforms to enhance data management efficiency, especially for organizations utilizing Oracle applications.

Oracle

Sample Customers

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

Caixa Bank

Buyer's Guide

OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance

August 2026

Free Report: OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance

Find out what your peers are saying about OpenText Analytics Database (Vertica) vs. Oracle Big Data Appliance and other solutions. Updated: August 2026.

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