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OpenText Corporation

OpenText Analytics Database (Vertica)

Composite Score

7.5 /10

CX Score

7.6 /10

34 Reviews Write a Review

What is OpenText Analytics Database (Vertica)?

OpenText Analytics Database (Vertica) is an analytical database that can tap into any data, at any scale, anywhere. It allows organizations to modernize their data warehouse, deploy their analytics in a hybrid-cloud environment, and democratize data and analytics. Vertica is designed for scalability and efficiency from the ground up, lowering organizations’ TCO and minimizing server requirements.

Company Details

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Awards & Recognition

OpenText Analytics Database (Vertica) won the following awards in the Analytical Data Store category

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6 Top Rated Capabilities

3 Top Rated Features

2023

4 Top Rated Capabilities

4 Top Rated Features

2022

OpenText Analytics Database (Vertica) Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on OpenText Analytics Database (Vertica).

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

82 Likeliness to Recommend

1
Since last award

95 Plan to Renew

74 Satisfaction of Cost Relative to Value

3
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+76 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love OpenText Analytics Database (Vertica)?

4% Negative

6% Neutral

90% Positive

Pros

Respectful
Reliable
Caring
Security Protects

Feature Ratings

Average 74

Analytics and Reporting

Distributed Processing

Analytics and Data Science Tools

Data Security

Data Integration

Data Management

Data Visualization

Real Time Capabilities

Metadata Management

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Average 74

Business Value Created

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Data Integration

Breadth of Features

Vendor Support

Ease of IT Administration

Ease of Customization

Availability and Quality of Training

OpenText Analytics Database (Vertica) Reviews

Mohamed K.

Role: Information Technology
Industry: Finance
Involvement: Vendor Selection and Purchasing

Validated Review

Verified Reviewer

Submitted Oct 2024

AI-Augmented Capture

Likeliness to Recommend

8 /10

What differentiates OpenText Analytics Database (Vertica) from other similar products?

Enhance document digitization with AI-driven automated content capture and routing

What is your favorite aspect of this product?

File analysis products analyze, index, search, track and report on file metadata and file content, enabling organizations to take action on files according to what was identified. File analysis provides detailed metadata and contextual information to enable better information governance and organizational efficiency for unstructured data management

What do you dislike most about this product?

Need better clear of vision and a fast demo to show the main capabilities.

What recommendations would you give to someone considering this product?

Try the demo version first to be sure it fulfills your exact needs.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Balram V.

Role: Consultant
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2026

Reliable high performance analytics tool

Likeliness to Recommend

10 /10

What differentiates OpenText Analytics Database (Vertica) from other similar products?

It has high performance columnar and mpp based architecture for the speed. also supports ELT and instead traditional ETL.

What is your favorite aspect of this product?

It has high performance query engine due to MPP capability and better scalability.

What do you dislike most about this product?

Its little bit tough to optimize sql queries, need to technical expertise for the same.

What recommendations would you give to someone considering this product?

Its best choice for large scale and performance heavy analytics and require right expertise. You can prefer its cloud native version if want lesser operational overhead.

Pros

Reliable
Performance Enhancing
Trustworthy
Effective Service

Cons

Vendor's Interest First
Less Generous
Under Delivered

srikanth k.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2025

Large data handler and best Analytical reports

Likeliness to Recommend

9 /10

What differentiates OpenText Analytics Database (Vertica) from other similar products?

Good architecture with parallel processing

What is your favorite aspect of this product?

Reports of data

What do you dislike most about this product?

Not much i can say

What recommendations would you give to someone considering this product?

We can choose this product for analytics

Pros

Efficient Service
Effective Service
Continually Improving Product
Reliable

Most Popular OpenText Analytics Database (Vertica) Comparisons

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Cloudera Data Platform
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SAP HANA Cloud
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Latest Research

OpenText Analytics Database (Vertica)

What is OpenText Analytics Database (Vertica)?

Company Details

Need Assistance?

Awards & Recognition

OpenText Analytics Database (Vertica) Ratings

82 Likeliness to Recommend

1 Since last award

95 Plan to Renew

74 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+76 Net Emotional Footprint

How much do users love OpenText Analytics Database (Vertica)?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Management Includes data sharing, data storage, records management, and data security.

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Platform Administration Includes back-end interface and administrative capabilities

Workload Management and Monitoring Includes task, performance, monitoring and time management

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

OpenText Analytics Database (Vertica) Reviews

Mohamed K.

AI-Augmented Capture

Likeliness to Recommend

Pros

Balram V.

Reliable high performance analytics tool

Likeliness to Recommend

Pros

Cons

srikanth k.

Large data handler and best Analytical reports

Likeliness to Recommend

Pros

Most Popular OpenText Analytics Database (Vertica) Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Schedule Your Call

1
Since last award

3
Since last award

Feature Ratings

Analytics and Reporting

Distributed Processing

Analytics and Data Science Tools

Data Security

Data Integration

Data Management

Data Visualization

Real Time Capabilities

Metadata Management

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Implementation

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Data Integration

Breadth of Features

Vendor Support

Ease of IT Administration

Ease of Customization

Availability and Quality of Training