OpenText Corporation

Vertica Analytics Platform

Composite Score

7.5 /10

CX Score

7.8 /10

29 Reviews Write a Review

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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.

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.

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

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.

+85 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?

6% Negative

0% Neutral

94% Positive

Pros

Effective Service
Unique Features
Acts with Integrity
Respectful

Feature Ratings

Average 77

Analytics and Data Science Tools

Real Time Capabilities

Platform Administration

Analytics and Reporting

Data Management

Metadata Management

Data Integration

Distributed Processing

Data Security

Data Visualization

Workload Management and Monitoring

Vendor Capability Ratings

Average 75

Quality of Features

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Breadth of Features

Vendor Support

Availability and Quality of Training

Vertica Analytics Platform Reviews

Obaloluwa A.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Amazing feautures that are easy to get around with

Likeliness to Recommend

8 /10

What differentiates Vertica Analytics Platform from other similar products?

Vertica Analytics Platform differentiates itself with its columnar storage architecture, which optimizes performance for complex queries and large-scale analytics. Its advanced features for real-time data ingestion and analytics, combined with strong support for machine learning, make it suitable for a wide range of data-driven applications.

What is your favorite aspect of this product?

My favorite aspect of Vertica Analytics Platform is its ability to deliver high-performance analytics on large datasets through its efficient columnar storage and advanced query optimization.

What do you dislike most about this product?

The main drawback of Vertica Analytics Platform is its complexity in setup and configuration, which can pose challenges for new users and require a steep learning curve.

What recommendations would you give to someone considering this product?

When considering Vertica Analytics Platform, it’s essential to assess your organization’s specific data analytics needs and ensure it aligns with your goals. Investing time in training and familiarization can help ease the learning curve, enabling your team to leverage the platform’s full capabilities. Additionally, consider running a pilot project to evaluate performance and suitability before committing to a full deployment.

Pros

Caring
Helps Innovate
Continually Improving Product
Reliable

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 Vertica Analytics Platform 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

Eyad B.

Role: Sales Marketing
Industry: Transportation
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2024

Likeliness to Recommend

6 /10

Pros

Helps Innovate
Reliable
Enables Productivity
Unique Features

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

+85 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.

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

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

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

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

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

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

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.

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.

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.

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.

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

Obaloluwa A.

Amazing feautures that are easy to get around with

Likeliness to Recommend

Pros

Mohamed K.

AI-Augmented Capture

Likeliness to Recommend

Pros

Eyad B.

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

1
Since last award

Feature Ratings

Analytics and Data Science Tools

Real Time Capabilities

Platform Administration

Analytics and Reporting

Data Management

Metadata Management

Data Integration

Distributed Processing

Data Security

Data Visualization

Workload Management and Monitoring

Vendor Capability Ratings

Quality of Features

Business Value Created

Ease of Implementation

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Breadth of Features

Vendor Support

Availability and Quality of Training