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OpenText Corporation

OpenText Analytics Database

Composite Score

7.0 /10

CX Score

7.2 /10

35 Reviews Write a Review

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.

83 Likeliness to Recommend

2
Since last award

96 Plan to Renew

1
Since last award

75 Satisfaction of Cost Relative to Value

2
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.

+77 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

Analytics and Reporting

Distributed Processing

Data Security

Analytics and Data Science Tools

Data Management

Data Integration

Data Visualization

Metadata Management

Platform Administration

Real Time Capabilities

Workload Management and Monitoring

Vendor Capability Ratings

Average 75

Quality of Features

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Ease of Customization

Ease of IT Administration

Availability and Quality of Training

OpenText Analytics Database Reviews

Vaishnavi K.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Love to work on

Likeliness to Recommend

9 /10

What differentiates OpenText Analytics Database from other similar products?

More easy to use and

What is your favorite aspect of this product?

Key vertica features

What do you dislike most about this product?

Licensing

What recommendations would you give to someone considering this product?

Support for containerization and flexibility

Pros

Over Delivered
Continually Improving Product
Performance Enhancing
Unique Features

Neelakanta P.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Great performance and scalability

Likeliness to Recommend

9 /10

What differentiates OpenText Analytics Database from other similar products?

Vertica Analytical Platform excels with its columnar storage and in-database analytics, providing high-performance analytics and scalability, setting it apart from other similar products

What is your favorite aspect of this product?

Vertica's speed and scalability, particularly its columnar storage and parallel processing, making it well-suited for demanding analytical workloads.

What do you dislike most about this product?

Vertica may have a steeper learning curve, and its licensing costs can be relatively high. Additionally, while it excels in analytics, it might not be the optimal choice for all types of database workloads

What recommendations would you give to someone considering this product?

Before using Vertica, assess your analytics needs, ensure your team is familiar with its architecture, and consider the associated licensing costs. Conduct a performance evaluation to verify it aligns with your specific workload requirements, and plan for proper data management and maintenance practices

Pros

Helps Innovate
Caring
Respectful
Client Friendly Policies

Akash K.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Amazing new functionalities

Likeliness to Recommend

7 /10

What differentiates OpenText Analytics Database from other similar products?

Existing vertices set up is boosted by many folds with this integration of new features. The workload distribution is innovative approach that we and our IT/DBA team loves. It absolutely magical how you can change and assign resources depending on where you need them the most.

What is your favorite aspect of this product?

I love the work load routing mechanism that is given in this new release.

What do you dislike most about this product?

Api based monitoring could use a little touch up but otherwise it’s perfectly fine.

What recommendations would you give to someone considering this product?

Go nuts. Best thing for analytics ML ops out there.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Unique Features

How We Deliver

Events

OpenText Analytics Database

What is OpenText Analytics Database?

Company Details

Need Assistance?

Awards & Recognition

OpenText Analytics Database Ratings

83 Likeliness to Recommend

2 Since last award

96 Plan to Renew

1 Since last award

75 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+77 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

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.

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

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

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

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

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

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.

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.

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 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.

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

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

Vaishnavi K.

Love to work on

Likeliness to Recommend

Pros

Neelakanta P.

Great performance and scalability

Likeliness to Recommend

Pros

Akash K.

Amazing new functionalities

Likeliness to Recommend

Pros

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2
Since last award

1
Since last award

2
Since last award

Feature Ratings

Analytics and Reporting

Distributed Processing

Data Security

Analytics and Data Science Tools

Data Management

Data Integration

Data Visualization

Metadata Management

Platform Administration

Real Time Capabilities

Workload Management and Monitoring

Vendor Capability Ratings

Quality of Features

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Breadth of Features

Ease of Data Integration

Vendor Support

Ease of Customization

Ease of IT Administration

Availability and Quality of Training