We are using the latest version of the solution. Some of our clients asked us why we were not using Snowflake, so we are evaluating Snowflake as per their request. If we replace Greenplum with Snowflake, the purpose would be to minimize maintenance time and enhance scalability. If someone is looking for a cheap solution, Greenplum is a good choice for them. Overall, I rate the product a six out of ten.
For the support network of the product, overall installation, use of the database, and improved database and support, I rate the solution an eight out of ten.
When considering implementing Tanzu Greenplum, I recommend viewing it as a massive lakehouse, not just a data warehouse. I would rate Tanzu Greenplum ten out of ten.
Director of IT Operations at a financial services firm with 10,001+ employees
Real User
Feb 21, 2023
The solution has its limitations. It works better with a serial-threaded program than a multi-threaded program. If you go for the solution knowing that, you should be fine. I would rate the solution as a six out of ten.
Architect Projects at T-Systems International GmbH
Real User
Mar 29, 2022
I recommend reading as much documentation as possible before starting to use the product. It helps to know how your data model should be implemented in order to get the best out of the platform and to figure out how it can improve performance, This is one of the best solutions I've used and I rate it eight out of 10.
I would definitely recommend VMware Tanzu Greenplum. It's open-source and the support is great. It's also relatively cheap compared to similar solutions. Overall, on a scale from one to ten, I would give this solution a rating of ten — I really like it.
Learn what your peers think about VMware Tanzu Data Solutions. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.
Senior Data Engineer at a financial services firm with 10,001+ employees
Real User
Oct 11, 2020
We are currently in the process of upgrading from version 5.26 to 6.11 and I can already see a lot of improvements. I can't wait to try them. According to the roadmap, there are a lot of new improvements coming in the V7 version, which is due out next year. My advice for anybody who is implementing Greenplum is that they really need an expert to assist them. They might hire consultants or grow experts in-house, although that takes time and it is not always straightforward. You can use Greenplum out of the box but to really leverage all of the capabilities, you definitely need to tune your system and also design your database objects. When people think about a database they usually think about Oracle, Mircosoft SQL, or maybe MySQL. Greenplum is a distributed database that needs a completely different mindset. I think that when people start to use it, they don't really understand. For example, you cannot switch from Oracle to Hadoop because you will need the same change, but when they switch to Greenplum from Oracle, or just put data from Oracle to Greenplum, they don't consider this change as seriously as they would for Hadoop. Overall, I am very happy with this product. I would rate this solution a nine out of ten.
President of the Board at a tech services company with 51-200 employees
Real User
Aug 1, 2019
I'm a partner that works mainly with enterprises. Mostly the partners are big telcos and we deal with tens of terabytes of data. MPP and columnar databases are the future of the analytical landscape. The era of appliances is over, so implementation of an MPP database on-premises or on the cloud is the way to go. Greenplum is definitely one of the leaders in this area. I would rate the solution eight out of ten. If they improved the integration with other platforms in the landscape I would rate it higher.
Co-Founder, Chief of Operations with 10,001+ employees
Real User
Jul 29, 2019
I would recommend this solution specifically for the scalability. This solution has a more futuristic technology, as opposed to the old school kind of data warehousing. If people are interested in getting something that is more future-proof, then I would recommend this solution. So far, we're comfortable with what we've seen. What we have configured is addressing our needs at the moment. I would rate this solution an eight out of ten.
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.
We are using the latest version of the solution. Some of our clients asked us why we were not using Snowflake, so we are evaluating Snowflake as per their request. If we replace Greenplum with Snowflake, the purpose would be to minimize maintenance time and enhance scalability. If someone is looking for a cheap solution, Greenplum is a good choice for them. Overall, I rate the product a six out of ten.
For the support network of the product, overall installation, use of the database, and improved database and support, I rate the solution an eight out of ten.
When considering implementing Tanzu Greenplum, I recommend viewing it as a massive lakehouse, not just a data warehouse. I would rate Tanzu Greenplum ten out of ten.
The solution has its limitations. It works better with a serial-threaded program than a multi-threaded program. If you go for the solution knowing that, you should be fine. I would rate the solution as a six out of ten.
I recommend reading as much documentation as possible before starting to use the product. It helps to know how your data model should be implemented in order to get the best out of the platform and to figure out how it can improve performance, This is one of the best solutions I've used and I rate it eight out of 10.
I would definitely recommend VMware Tanzu Greenplum. It's open-source and the support is great. It's also relatively cheap compared to similar solutions. Overall, on a scale from one to ten, I would give this solution a rating of ten — I really like it.
We are currently in the process of upgrading from version 5.26 to 6.11 and I can already see a lot of improvements. I can't wait to try them. According to the roadmap, there are a lot of new improvements coming in the V7 version, which is due out next year. My advice for anybody who is implementing Greenplum is that they really need an expert to assist them. They might hire consultants or grow experts in-house, although that takes time and it is not always straightforward. You can use Greenplum out of the box but to really leverage all of the capabilities, you definitely need to tune your system and also design your database objects. When people think about a database they usually think about Oracle, Mircosoft SQL, or maybe MySQL. Greenplum is a distributed database that needs a completely different mindset. I think that when people start to use it, they don't really understand. For example, you cannot switch from Oracle to Hadoop because you will need the same change, but when they switch to Greenplum from Oracle, or just put data from Oracle to Greenplum, they don't consider this change as seriously as they would for Hadoop. Overall, I am very happy with this product. I would rate this solution a nine out of ten.
I prefer an open-source solution but Pivotal Greenplum is cheap and has many functionalities. On a scale of 1 -10 I'd rate it a 6.
I would rate this solution a seven out of ten.
I'm a partner that works mainly with enterprises. Mostly the partners are big telcos and we deal with tens of terabytes of data. MPP and columnar databases are the future of the analytical landscape. The era of appliances is over, so implementation of an MPP database on-premises or on the cloud is the way to go. Greenplum is definitely one of the leaders in this area. I would rate the solution eight out of ten. If they improved the integration with other platforms in the landscape I would rate it higher.
I would recommend this solution specifically for the scalability. This solution has a more futuristic technology, as opposed to the old school kind of data warehousing. If people are interested in getting something that is more future-proof, then I would recommend this solution. So far, we're comfortable with what we've seen. What we have configured is addressing our needs at the moment. I would rate this solution an eight out of ten.