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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Real user data aggregated to summarize the product performance and customer experience.
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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.
85 Likeliness to Recommend
86 Plan to Renew
78 Satisfaction of Cost Relative to Value
1
Since last award
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.
+92 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?
Pros
- Transparent
- Helps Innovate
- Trustworthy
- Fair
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Management
Data Integration
Distributed Processing
Analytics and Reporting
Analytics and Data Science Tools
Data Security
Workload Management and Monitoring
Metadata Management
Platform Administration
Real Time Capabilities
Data Visualization
Vendor Capability Ratings
Ease of IT Administration
Quality of Features
Ease of Data Integration
Vendor Support
Product Strategy and Rate of Improvement
Breadth of Features
Ease of Implementation
Usability and Intuitiveness
Business Value Created
Availability and Quality of Training
Ease of Customization
Tanzu Greenplum Reviews
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2025
Tanzu best and effective data solutions
Likeliness to Recommend
Pros
- Performance Enhancing
- Enables Productivity
- Efficient Service
- Respectful
- Role: Sales Marketing
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Mar 2025
Designed Big data analyics
Likeliness to Recommend
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Yashvendra S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Mar 2025
Powerful and Scalable Data Warehousing Solution
Likeliness to Recommend
What differentiates Tanzu Greenplum from other similar products?
Tanzu Greenplum offers advanced data management. It is very scalable solution and also offers massively parallel processing. It has AI & ML integration inbuilt. It supports multiple hybrid clouds so not a challenge for any kind of environment. Built on PostgreSQL, it integrates well with a wide variety of open-source tools and frameworks, providing flexibility and reducing vendor lock-in.
What is your favorite aspect of this product?
My favorite aspect of Tanzu Greenplum is its massively parallel processing (MPP) architecture. This allows it to handle complex, large-scale analytics workloads incredibly efficiently by distributing data processing tasks across multiple nodes, this results in much faster query performance and scalability, which is critical for businesses that need to process vast amounts of data in real-time or near-real-time. The ability to scale both horizontally and vertically gives teams a lot of flexibility as data volumes grow, making it a strong choice for big data analytics and data warehousing.
What do you dislike most about this product?
There is nothing as such but would like to call out the complexity it involves in setup and management. t requires careful tuning for optimal performance, and managing a large-scale deployment can involve significant overhead in terms of monitoring, troubleshooting, and scaling. But the product services team makes it seamless.
What recommendations would you give to someone considering this product?
I definitely recommend this product and would like to mention key points 1. Need Big Data Expertise - team should know how to deal with big data 2. Integration with other tools is very intuitive bit could be challenging sometimes 3. Offers hybrid cloud flexibility 4. Use It for High-Impact, Data-Intensive applications. It excels in this area.
Pros
- Reliable
- Trustworthy
- Efficient Service
- Fair
