Broadcom

Tanzu Greenplum

Composite Score

7.4 /10

CX Score

7.6 /10

13 Reviews Write a Review

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What is Tanzu Greenplum?

Tanzu Greenplum is a data warehouse, analytics and AI platform that allows you to unify all your data, transforming it into act. VMware Greenplum is a massively parallel processing (MPP) data platform for large-scale analytics and data warehousing, available on-premises and in the cloud.

Company Details

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Tanzu Greenplum Ratings

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

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

2
Since last award

94 Plan to Renew

3
Since last award

85 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.

+87 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 Tanzu Greenplum?

6% Negative

3% Neutral

91% Positive

Pros

Generous Negotitation
Transparent
Trustworthy
Over Delivered

Feature Ratings

Average 83

Data Integration

Data Management

Data Visualization

Metadata Management

Analytics and Data Science Tools

Real Time Capabilities

Data Security

Distributed Processing

Analytics and Reporting

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Average 80

Ease of IT Administration

Vendor Support

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Breadth of Features

Product Strategy and Rate of Improvement

Business Value Created

Availability and Quality of Training

Ease of Implementation

Ease of Customization

Tanzu Greenplum Reviews

Obaloluwa A.

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

Validated Review

Verified Reviewer

Submitted Jan 2025

Strong analytics, needs ML.

Likeliness to Recommend

7 /10

What differentiates Tanzu Greenplum from other similar products?

Tanzu Greenplum differentiates itself through its powerful support for advanced analytics on large datasets, leveraging a massively parallel processing architecture. Its integration with Kubernetes for container orchestration and seamless cloud compatibility enhance flexibility and scalability, setting it apart from similar products.

What is your favorite aspect of this product?

My favorite aspect of Tanzu Greenplum is its ability to handle large-scale data analytics efficiently with parallel processing, enabling fast query performance and scalability.

What do you dislike most about this product?

Tanzu Greenplum’s complexity in setup and management can be challenging, and the steep learning curve may hinder new users from fully leveraging its features.

What recommendations would you give to someone considering this product?

Assess data needs, review documentation, consider a pilot, invest in training, and evaluate costs.

Pros

Continually Improving Product
Enables Productivity
Fair
Security Protects

Jaykumar K.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

A powerful data warehouse solution for large enter

Likeliness to Recommend

9 /10

What differentiates Tanzu Greenplum from other similar products?

It excels at handling massive datasets in your data warehouse, enabling you to conduct complex analyses with exceptional speed and precision. This translates to faster, data-driven decisions thanks to its MPP architecture and advanced query optimization.

What is your favorite aspect of this product?

VMware Tanzu Greenplum excels in handling massive data warehouses that span petabytes in size. It gives you the ability to conduct intricate analyses swiftly and accurately, thanks to its MPP architecture and advanced query optimization capabilities. Additionally, Tanzu Greenplum seamlessly integrates with Apache MADlib for machine learning within the database and provides excellent compatibility with AWS S3 storage, enabling you to make the most of your current cloud setup.

What do you dislike most about this product?

Integration with Kafka might be somewhat simplified.

What recommendations would you give to someone considering this product?

VMware Greenplum is perfect for handling massive data volumes. Its MPP architecture and advanced query optimization ensure high-speed, accurate analysis, even at petabyte scales. Seamless integration with Apache MADlib enables in-database machine learning, leading to faster insights and informed decision-making.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Operations
Industry: Media
Involvement: Vendor Management and Renewal

Validated Review

Anonymous Reviewer

Submitted Feb 2024

Scalable database

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Trustworthy
Respectful
Fair

Tanzu Greenplum

What is Tanzu Greenplum?

Company Details

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Awards & Recognition

Tanzu Greenplum Ratings

81 Likeliness to Recommend

2 Since last award

94 Plan to Renew

3 Since last award

85 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Tanzu Greenplum?

Pros

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

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

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

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.

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

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.

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

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

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.

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

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.

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.

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.

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.

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.

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 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.

Tanzu Greenplum Reviews

Obaloluwa A.

Strong analytics, needs ML.

Likeliness to Recommend

Pros

Jaykumar K.

A powerful data warehouse solution for large enter

Likeliness to Recommend

Pros

Scalable database

Likeliness to Recommend

Pros

Most Popular Tanzu Greenplum Comparisons

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Snowflake

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Cloudera Data Platform

SAP HANA Cloud

2
Since last award

3
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3
Since last award

Feature Ratings

Data Integration

Data Management

Data Visualization

Metadata Management

Analytics and Data Science Tools

Real Time Capabilities

Data Security

Distributed Processing

Analytics and Reporting

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Ease of IT Administration

Vendor Support

Quality of Features

Ease of Data Integration

Usability and Intuitiveness

Breadth of Features

Product Strategy and Rate of Improvement

Business Value Created

Availability and Quality of Training

Ease of Implementation

Ease of Customization