VMware Tanzu Greenplum Reviews

The most valuable features are MPP and that it's polymorphic.

We have a set of workflow flows that takes 10 hours in Oracle Exadata, now it takes 4 hours with EMC Greenplum.

It doesn't work as efficiently as we'd like because it requires more segment node capacity (size, RAM, CPU) than we currently have.

I've used it since 2013.

At the moment, we don't have any issues with deployment.

At the moment, we don't have any issues with stability.

At the moment, we don't have any issues with scalability.

8/10

8/10

Yes, we have Oracle Exadata.

The initial setup is straightforward. It was simple for our personnel to install on the Unix system and network.

It's a good product when comparing the price to its functionalities.

You should consider the capacity of your data before you buy it.

The MPP – fast aggregation and that I still reuse the PL/SQL code.

The reports are running very fast, a matter of minutes instead of hours as it was previously.

It should support more feature that do exist on Postgres – like JSON datatype.

I've used it for three years.

Not more than any new DB – not something particular.

Not more than any new DB – not something particular.

Not more than any new DB – not something particular.

It's good.

It's good.

I used Oracle Enterprise edition – moving to Greenplum due to the MPP (it’s like Map-Reduce). I prefer a SQL solution rather Hadoop or whatever – especially if you’re moving from RDBMS. Now I’m also using Amazon Redshift from the same reason and also we don’t need to manage any server, it’s only a service and this is our best option especially because we’re already using Amazon.

It's straightforward.

In-house.

Read the documentation and always perform tests.

The performance is the most valuable.

There is only a fraction of performance tuning that you need to be careful about, compared to Oracle DB.

Session management for client tools needs work.

I've used it for nine months.

Nothing to complain about.

Nothing to complain about.

Previously, there was Oracle database, and the EMC Greenplum database was used for better performance from larger data volumes because it uses massively parallel processing. This increased the performances multiple times while reducing time needed for optimization of database queries.

We had a team from EMC, who had a very high level of expertise.

It's a very good product for reducing the time and man power needed for database optimization for datawarehousing purposes.

It's a good core database. Scalability and performance are very good. I also like the fact the solution is open-source, so you can use it free of charge.

Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality (like fully down processing, etc.) would be helpful in future releases. Also, if the solution could offer automated creation of DDL statements from power designers, for example, it would be very useful. 

It's a software, and like any software, it has some bugs. However, you can add new features to improve it. Overall, our customers, who are big telcos, have been very satisfied with the platform and with its stability and performance

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.

The solution requires a minimum amount of downtime when scaling. You can even add additional nodes without any downtime at all. I'm not 100% sure, but I think you can just reconfigure it and the background processes, and Greenplum will do the redistribution of the data.

Technical support is very good. The model they are using to fund the development of their open-source product is via revenue from support for enterprise customers, so they are very attentive when issues arise.

The solution is very straightforward to set up and is also easy to administer and develop using other open-source tools.

It's open-source, so it's free to use.

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.