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VMware Tanzu Data Solutions pros and cons

Vendor: Broadcom
4.0 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

VMware Tanzu Data Solutions is valued for its scalable architecture, particularly the ability to easily expand processing power and storage through node additions.
The Massive Parallel Processing feature enables efficient handling of large datasets, greatly boosting analytics and query performance.
Its open-source nature with low licensing costs makes it an attractive and flexible option for businesses.
The architecture supports high-speed data loading and processing, offering significant advantages for handling complex queries and data integration.
RabbitMQ within VMware Tanzu Data Solutions is appreciated for its stability, high throughput, and ability to integrate effortlessly with multiple languages like Java and Python.

CONS

Pricing is high, leading to promotion of alternative products.
Installation and setup process is complex and requires substantial time and documentation.
Performance issues and limitations in scalability and memory need significant improvement.
Documentation and customer interaction require enhancements for better understanding of features and troubleshooting.
Integration with other systems and platforms, especially with Big Data, is insufficient and needs to be expanded.
 

VMware Tanzu Data Solutions Pros review quotes

it_user203334 - PeerSpot reviewer
Technical Lead at a tech vendor with 1,001-5,000 employees
Feb 15, 2015
Very good and cost effective with very good customer support.
it_user259983 - PeerSpot reviewer
Lead Consultant with 501-1,000 employees
Jun 24, 2015
It's a very good product for reducing the time and man power needed for database optimization for datawarehousing purposes.
BR
Data Engineer at Broadridge Financial Solutions
Nov 29, 2016
Loading batch data has really improved the efficiency of our organization.
Learn what your peers think about VMware Tanzu Data Solutions. Get advice and tips from experienced pros sharing their opinions. Updated: February 2026.
884,873 professionals have used our research since 2012.
BR
Data Engineer at Broadridge Financial Solutions
Nov 8, 2016
Being MPP which is a bulk operator - we were able to do 1.5 million calculation in 15 minutes.
it_user369321 - PeerSpot reviewer
Senior Director & Global Lead, Big Data Center of Excellence at a pharma/biotech company with 10,001+ employees
Jan 13, 2016
After we implemented Greenplum, the loads were reduced to less than nine hours.
it_user371457 - PeerSpot reviewer
IT Consultant at a retailer with 10,001+ employees
Jan 17, 2016
It's allowed us to do a lot of data analytics with it that we weren't able to do before.
it_user371724 - PeerSpot reviewer
DB Manager at a marketing services firm with 501-1,000 employees
Jan 18, 2016
The reports are running very fast, a matter of minutes instead of hours as it was previously.
it_user371766 - PeerSpot reviewer
Sr. Data Operation Engineer at a marketing services firm with 501-1,000 employees
Jan 18, 2016
MPP (Massive Parallel Processing); processing large amount of data.
it_user371805 - PeerSpot reviewer
Senior Business Intelligence Developer at a tech services company with 501-1,000 employees
Jun 18, 2016
The most valuable feature of Greenplum is the Massively Parallel Processing (MPP).
it_user371898 - PeerSpot reviewer
Sr ETL Developer at a financial services firm with 1,001-5,000 employees
Jan 18, 2016
This has improved our daily load process reducing the run time at least by three to four hours which made other departments within the organization to look for data from the Enterprise Data Warehouse.
 

VMware Tanzu Data Solutions Cons review quotes

it_user203334 - PeerSpot reviewer
Technical Lead at a tech vendor with 1,001-5,000 employees
Feb 15, 2015
More stability in terms of query result.
it_user259983 - PeerSpot reviewer
Lead Consultant with 501-1,000 employees
Jun 24, 2015
Session management for client tools needs work.
BR
Data Engineer at Broadridge Financial Solutions
Nov 29, 2016
I'd like so see better scaling, better performance from in-memory databases, and a higher compression rate.
Learn what your peers think about VMware Tanzu Data Solutions. Get advice and tips from experienced pros sharing their opinions. Updated: February 2026.
884,873 professionals have used our research since 2012.
BR
Data Engineer at Broadridge Financial Solutions
Nov 8, 2016
We had deployment issues after installing new patches.
it_user369321 - PeerSpot reviewer
Senior Director & Global Lead, Big Data Center of Excellence at a pharma/biotech company with 10,001+ employees
Jan 13, 2016
The Greenplum appliance itself has had some reliability issues, so it would be great if that could be improved in the next version.
it_user371457 - PeerSpot reviewer
IT Consultant at a retailer with 10,001+ employees
Jan 17, 2016
The performance needs to be improved.
it_user371724 - PeerSpot reviewer
DB Manager at a marketing services firm with 501-1,000 employees
Jan 18, 2016
It should support more feature that do exist on Postgres – like JSON datatype.
it_user371766 - PeerSpot reviewer
Sr. Data Operation Engineer at a marketing services firm with 501-1,000 employees
Jan 18, 2016
Customer Service: It's very poor. Technical Support: It's very poor.
it_user371805 - PeerSpot reviewer
Senior Business Intelligence Developer at a tech services company with 501-1,000 employees
Jun 18, 2016
The fact GreenPlum is using an older version of Postgres means developers coming from other products will find many missing features in PostgreSQL, features which you would assume are standard.
it_user371898 - PeerSpot reviewer
Sr ETL Developer at a financial services firm with 1,001-5,000 employees
Jan 18, 2016
There are a lot of areas that can be improved. The bug fixes come as many patches like a start up instead of having scheduled release with proper improvements.