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VMware Tanzu Greenplum Review

Session management needs improvement, but performs well with larger data volumes because it uses massively parallel processing.

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What is most valuable?

The performance is the most valuable.

How has it helped my organization?

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

What needs improvement?

Session management for client tools needs work.

For how long have I used the solution?

I've used it for nine months.

How are customer service and technical support?

Customer Service:

Nothing to complain about.

Technical Support:

Nothing to complain about.

Which solution did I use previously and why did I switch?

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.

What about the implementation team?

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

What other advice do I have?

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

Which version of this solution are you currently using?

4.3.3.1

**Disclosure: I am a real user, and this review is based on my own experience and opinions.

Last updated: Jun 30 2015

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it_user259983

Lead Consultant with 501-1,000 employees

Highlights

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.

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 most valuable feature for us is horizontal scaling.

Pivotal Greenplum's shared-nothing architecture.

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.

It's super easy to deploy and it also supports different languages and analytics.

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