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OpenText Corporation

OpenText Analytics Database

Composite Score

7.0 /10

CX Score

7.1 /10

34 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

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?

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 Reviews

Aman S.

Role: Operations
Industry: Manufacturing
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2024

"High-Performance Analytics for Scalable Insights"

Likeliness to Recommend

9 /10

What differentiates OpenText Analytics Database from other similar products?

Vertica Analytics Platform stands out for its high-performance, scalable, and columnar storage architecture. It excels in handling large volumes of data and complex queries, making it suitable for real-time analytics. Additionally, Vertica offers advanced analytics features, machine learning integrations, and a robust set of data management tools. Its distributed nature allows it to efficiently process and analyze data across multiple nodes, providing faster query performance compared to some competitors.

What is your favorite aspect of this product?

One notable aspect of Vertica Analytics Platform is its ability to efficiently process and analyze large volumes of data in real-time. Its performance and scalability make it a strong choice for organizations dealing with complex analytical workloads and aiming for quick insights from massive datasets.

What do you dislike most about this product?

Licensing costs for Vertica Analytics Platform can be relatively high, which may be a consideration for budget-conscious organizations.

What recommendations would you give to someone considering this product?

Evaluate Performance Needs: Assess the scale and complexity of your analytics workloads to ensure Vertica's performance aligns with your requirements. Understand Scalability: Verify that Vertica can scale efficiently based on your data growth projections and organizational needs.

Pros

Performance Enhancing
Enables Productivity
Unique Features
Efficient Service

Kapil J.

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

Validated Review

Verified Reviewer

Submitted Jan 2024

Vertica is the future

Likeliness to Recommend

8 /10

What differentiates OpenText Analytics Database from other similar products?

As compared to druid vertica has the great community support

What is your favorite aspect of this product?

We can create n number of external tables with vertica

What do you dislike most about this product?

The time series data can be handled in better way

What recommendations would you give to someone considering this product?

Just go for it

Pros

Acts with Integrity
Helps Innovate
Unique Features
Effective Service

Cons

Less Productive
Less Performance Enhancing
Less Fair

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

OpenText Analytics Database

What is OpenText Analytics Database?

Company Details

Need Assistance?

Awards & Recognition

OpenText Analytics Database 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?

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 Reviews

Aman S.

"High-Performance Analytics for Scalable Insights"

Likeliness to Recommend

Pros

Kapil J.

Vertica is the future

Likeliness to Recommend

Pros

Cons

Devibala S.

Best MPP database to build BI data warehouse !

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

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