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VMware Tanzu Greenplum Review

The loaders – their methods, insert, update and merge – were most valuable.

What is most valuable?

The Greenplum loaders – their methods, insert, update and merge – were most valuable. The external table feature within Greenplum was also very valuable in achieving performance and scalability

How has it helped my organization?

A lot of customers use Greenplum and for their ETL use cases they use Informatica PWX for Greenplum, which helps them achieve transfer of data from a number of data sources into Greenplum. We can help customers to load data effortlessly and quickly.

What needs improvement?

It would be best if Greenplum would support array writes through ODBC drivers . Currently through Data Direct Greenplum drivers we can have single row inserts into Greenplum only. It would help if array loading is supported.

For how long have I used the solution?

I have been using Greenplum loaders to load data into GreenPlum for three years.

What was my experience with deployment of the solution?

There were no issues in deploying it.

What do I think about the stability of the solution?

The external table feature helps to make this a stable solution.

What do I think about the scalability of the solution?

It scales to our and our customers needs as required.

How are customer service and technical support?

The ongoing response from their support on certain technical issues has been slow. It would help if we can have a faster turn-around here.

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

There was no other solution used previously.

How was the initial setup?

The installation and configuration is straightforward.

What about the implementation team?

We implemented through a in-house team . The overall solution will be useful and is not complex

What other advice do I have?

If the use case is going to be requiring a huge data transfer and big data analytics. This is a good product to use.

Which version of this solution are you currently using?

4.1.x, 4.2.x

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

Last updated: Jan 20 2016

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Senior Technical Engineer at a tech company with 1,001-5,000 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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