VMware, Inc.

VMWare Greenplum

7.3 /10

What is VMWare Greenplum?

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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VMWare Greenplum Ratings

Real user data aggregated to summarize the product performance and customer experience.

83 Likeliness to Recommend

91 Plan to Renew

88 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+81 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 VMWare Greenplum?

9% Negative

4% Neutral

87% Positive

Pros

Generous Negotitation
Transparent
Trustworthy
Over Delivered

Feature Ratings

Average 84

Data Integration

Data Visualization

Data Management

Real Time Capabilities

Analytics and Reporting

Metadata Management

Analytics and Data Science Tools

Distributed Processing

Data Security

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Average 81

Quality of Features

Ease of IT Administration

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Business Value Created

Ease of Customization

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training

VMWare Greenplum Reviews

Oliver K.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2022

Run analytics on big data

Likeliness to Recommend

8 /10

What differentiates VMWare Greenplum from other similar products?

We use VMware Tanzu data services in a variety of ways, especially whenever we need to perform analytics on massive volumes of data.

What is your favorite aspect of this product?

enables querying of datasets at petabyte scales, Advanced machine learning support using Apache MADlib, Perfect support for AWS S3,

What do you dislike most about this product?

Synchronization with Kafka may be a bit easier.

What recommendations would you give to someone considering this product?

Recommended for companies dealing with large volumes of data, it will work perfectly well if you need to run machine learning, deep learning, or statistical methods on large structured data workloads

Pros

Helps Innovate
Efficient Service
Effective Service
Client Friendly Policies

Muhammad F.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Aug 2022

Fantastic Data Warehouse enables Data Analytics

Likeliness to Recommend

9 /10

What differentiates VMWare Greenplum from other similar products?

VMWare Tanzu Greenplum is open source software managing big data analysis having featured of Massively Parallel Processing.

What is your favorite aspect of this product?

VMWare Tanzu Greenplum supports on-premises, public or hybrid cloud database. It has been updating itself to meet user expectations. Massive Parallel Processing database server enables next generation data warehousing and big data analytics.

What do you dislike most about this product?

Storing of data on public cloud may not be more secured. It is not popular as other products e.g. Oracle therefore it is difficult to find an experienced person; similarly community is not big to support; online help is also insufficient.

What recommendations would you give to someone considering this product?

If they could allow more analytics and filters. They need to improve documentation so that a user can get sufficient online help.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

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

Validated Review

Anonymous Reviewer

Submitted Mar 2022

Features disappoint

Likeliness to Recommend

5 /10

Pros

Transparent
Enables Productivity
Trustworthy
Generous Negotitation

Cons

Less Reliable
Less Performance Enhancing
Less Effective Service

VMWare Greenplum

What is VMWare Greenplum?

Company Details

Need Assistance?

VMWare Greenplum Ratings

83 Likeliness to Recommend

91 Plan to Renew

88 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+81 Net Emotional Footprint

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

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

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

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

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

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.

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

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 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.

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.

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 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 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.

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.

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.

VMWare Greenplum Reviews

Oliver K.

Run analytics on big data

Likeliness to Recommend

Pros

Muhammad F.

Fantastic Data Warehouse enables Data Analytics

Likeliness to Recommend

Pros

Features disappoint

Likeliness to Recommend

Pros

Cons

Most Popular VMWare Greenplum Comparisons

Amazon Redshift

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Feature Ratings

Data Integration

Data Visualization

Data Management

Real Time Capabilities

Analytics and Reporting

Metadata Management

Analytics and Data Science Tools

Distributed Processing

Data Security

Platform Administration

Workload Management and Monitoring

Vendor Capability Ratings

Quality of Features

Ease of IT Administration

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Business Value Created

Ease of Customization

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training