Subdirector of Support for Production at a financial services firm with 51-200 employees
Real User
Top 10
2023-04-27T15:20:00Z
Apr 27, 2023
With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution.
Learn what your peers think about VMware Tanzu Data Solutions. Get advice and tips from experienced pros sharing their opinions. Updated: October 2024.
Senior Data Engineer at a financial services firm with 10,001+ employees
Real User
2020-10-11T08:58:24Z
Oct 11, 2020
The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable.
Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.
Co-Founder, Chief of Operations with 10,001+ employees
Real User
2019-07-29T10:11:00Z
Jul 29, 2019
We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
The loading speed is very good.
With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution.
Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform.
It works very well with large database queries.
A very good, open-source platform.
It's super easy to deploy and it also supports different languages and analytics.
The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable.
Pivotal Greenplum's shared-nothing architecture.
The most valuable feature for us is horizontal scaling.
Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.
We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.