VMware Tanzu Greenplum Review

MPP architecture is important to process data in such volume.​ Better integration with big data tech stack is needed.


What is most valuable?

MPP (Massive Parallel Processing); processing large amount of data.

How has it helped my organization?

We process billions of rows of data every hour; MPP architecture is important to process data in such volume.

What needs improvement?

  • Better integration with big data tech stack
  • Scalability: for example, system schema (pg_catalog) is one bottleneck for scalability

For how long have I used the solution?

I've used it for four to five years.

What do I think about the scalability of the solution?

The system has some bottleneck, like system schema; some commands (batch loading) is bottlenecked by master DB architecture

How are customer service and technical support?

Customer Service:

It's very poor.

Technical Support:

It's very poor.

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

Used Greenplum originally. We have evaluated other products; the final decision is based on ROI

How was the initial setup?

Products was installed by vendor; all ETL scripts and schema are designed and implemented in-house.

What about the implementation team?

The product was installed by vendor; all ETL scripts and schema are designed and implemented in-house.

What's my experience with pricing, setup cost, and licensing?

Greenplum has an open source version now.

What other advice do I have?

Scalability is one major concern; once data reach certain level; the performance is dropped and much more issues will be triggered, like disk error; out of memory; etc. Be sure that you proper scope your need (including growth) before the decision of system and its size.

Which version of this solution are you currently using?

4.2.7
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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