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OpenText Corporation

Vertica Analytics Platform

7.5 /10

28 Reviews Write a Review

What is Vertica Analytics Platform?

OpenText Vertica Data Platform 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

Vertica Analytics Platform 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

Vertica Analytics Platform Ratings

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

81 Likeliness to Recommend

94 Plan to Renew

1
Since last award

77 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+84 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 Vertica Analytics Platform?

7% Negative

0% Neutral

93% Positive

Pros

Effective Service
Unique Features
Acts with Integrity
Respectful

Feature Ratings

Average 76

Analytics and Data Science Tools

Real Time Capabilities

Platform Administration

Analytics and Reporting

Metadata Management

Distributed Processing

Data Management

Data Integration

Data Security

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Average 76

Quality of Features

Business Value Created

Usability and Intuitiveness

Ease of Implementation

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support

Breadth of Features

Availability and Quality of Training

Vertica Analytics Platform Reviews

Ateku M.

Role: Industry Specific Role
Industry: Transportation
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2022

My Experience Using Vertica Analytics Platform

Likeliness to Recommend

9 /10

What differentiates Vertica Analytics Platform from other similar products?

Vertica Analytics Platform makes managing big data easy and comes with every feature we need unlike most competitors.

What is your favorite aspect of this product?

What I like most is that Vertica Analytics Platform is super fast It is affordable and highly secure

What do you dislike most about this product?

Using it requires lots of time training - long learning curve

What recommendations would you give to someone considering this product?

For big data management and handling, you can never go wrong with Vertica Analytics Platform

Pros

Continually Improving Product
Performance Enhancing
Effective Service
Inspires Innovation

Habakkuk G.

Role: Industry Specific Role
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2022

Handling Big Data The Easy Way With Vertica

Likeliness to Recommend

9 /10

What differentiates Vertica Analytics Platform from other similar products?

For big data handling and understanding, Vertica Analytics Platform offers best features. It's customizable too and makes understand big data easy thanks to analytics features

What is your favorite aspect of this product?

I have used Vertica Analytics Platform and I like it's Analytics capabilities It makes it easy to understand business big data Querying is easy

What do you dislike most about this product?

Nothing has failed while using Vertica Analytics Platform

What recommendations would you give to someone considering this product?

For big data querying and understanding, I recommend Vertica Analytics Platform. It offers best features and we have used it long enough successfully

Pros

Continually Improving Product
Reliable
Enables Productivity
Trustworthy

Derrick R.

Role: Information Technology
Industry: Utilities
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2021

Solution for Big Data Purposes

Likeliness to Recommend

10 /10

What differentiates Vertica Analytics Platform from other similar products?

Micro Focus Vertica helps in system analytics and administration, which are vital requirements for swift operations. Also, Micro Focus Vertica has the metadata solution, that makes universal extraction practical.

What is your favorite aspect of this product?

Data complexity is not a challenge with Micro Focus Vertica, as there are security and big loading capabilities. More so, Micro Focus Vertica allows firms of all shapes or nature to remain vibrant in solving business needs.

What do you dislike most about this product?

Micro Focus Vertica is a vital and vibrant application, whose purpose exceed any chances of failure or hate; therefore, we remain proud and in support of the application.

What recommendations would you give to someone considering this product?

Micro Focus Vertica has made big data remain more useful and efficient in any company. More so, Micro Focus Vertica requires no strategic formula in enhancing proficiency, and therefore, there is numerical support.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

How We Deliver

Vertica Analytics Platform

What is Vertica Analytics Platform?

Company Details

Need Assistance?

Awards & Recognition

Vertica Analytics Platform Ratings

81 Likeliness to Recommend

94 Plan to Renew

1 Since last award

77 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+84 Net Emotional Footprint

How much do users love Vertica Analytics Platform?

Pros

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

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

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

Platform Administration Includes back-end interface and administrative capabilities

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

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

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.

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

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

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

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

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

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.

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.

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.

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.

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

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

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 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.

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.

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.

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.

Vertica Analytics Platform Reviews

Ateku M.

My Experience Using Vertica Analytics Platform

Likeliness to Recommend

Pros

Habakkuk G.

Handling Big Data The Easy Way With Vertica

Likeliness to Recommend

Pros

Derrick R.

Solution for Big Data Purposes

Likeliness to Recommend

Pros

Most Popular Vertica Analytics Platform Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Title

1
Since last award

Feature Ratings

Analytics and Data Science Tools

Real Time Capabilities

Platform Administration

Analytics and Reporting

Metadata Management

Distributed Processing

Data Management

Data Integration

Data Security

Workload Management and Monitoring

Data Visualization

Vendor Capability Ratings

Quality of Features

Business Value Created

Usability and Intuitiveness

Ease of Implementation

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support

Breadth of Features

Availability and Quality of Training