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OpenText Corporation

OpenText Analytics Database

Composite Score

7.1 /10

CX Score

7.2 /10

36 Reviews Write a Review

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What is OpenText Analytics Database?

OpenText Analytics Database (formerly 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 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 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.

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

96 Plan to Renew

1
Since last award

76 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.

+78 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?

4% Negative

5% Neutral

91% Positive

Pros

Respectful
Reliable
Caring
Security Protects

Feature Ratings

Average 75

Distributed Processing

Analytics and Reporting

Data Security

Data Management

Analytics and Data Science Tools

Data Integration

Metadata Management

Data Visualization

Platform Administration

Real Time Capabilities

Workload Management and Monitoring

Vendor Capability Ratings

Average 75

Ease of Implementation

Business Value Created

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Ease of IT Administration

Ease of Customization

Availability and Quality of Training

OpenText Analytics Database Reviews

Devibala S.

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

Validated Review

Verified Reviewer

Submitted Mar 2023

Best MPP database to build BI data warehouse !

Likeliness to Recommend

9 /10

What differentiates OpenText Analytics Database from other similar products?

Its columnar database architecture to read the data faster through ansii SQL.

What is your favorite aspect of this product?

Its a MPP database . In-memory structure to store the data in RAM .

What do you dislike most about this product?

The cost of the product could have been in the better side consider the cloud databases out there in the market.

What recommendations would you give to someone considering this product?

Go to database for large enterprise to build data warehouse.

Pros

Effective Service
Over Delivered
Includes Product Enhancements
Helps Innovate

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 OpenText Analytics Database 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 OpenText Analytics Database 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

OpenText Analytics Database

What is OpenText Analytics Database?

Company Details

Need Assistance?

Awards & Recognition

OpenText Analytics Database Ratings

82 Likeliness to Recommend

96 Plan to Renew

1 Since last award

76 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+78 Net Emotional Footprint

How much do users love OpenText Analytics Database?

Pros

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

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

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

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

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

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

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

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

Platform Administration Includes back-end interface and administrative capabilities

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

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

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.

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.

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.

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.

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

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 Reviews

Devibala S.

Best MPP database to build BI data warehouse !

Likeliness to Recommend

Pros

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

Most Popular OpenText Analytics Database Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

1
Since last award

3
Since last award

Feature Ratings

Distributed Processing

Analytics and Reporting

Data Security

Data Management

Analytics and Data Science Tools

Data Integration

Metadata Management

Data Visualization

Platform Administration

Real Time Capabilities

Workload Management and Monitoring

Vendor Capability Ratings

Ease of Implementation

Business Value Created

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Ease of IT Administration

Ease of Customization

Availability and Quality of Training