External tables to load the data from flat files.
VMware Tanzu Greenplum Review
Needs more stability in terms of query results but we have improved our query response time.
What is most valuable?
How has it helped my organization?
It helped us in loading millions of data in quick time & improved query response.
What needs improvement?
More stability in terms of query result.
For how long have I used the solution?
Five years - DCA V2.0 EMC & Greenplum Database
What was my experience with deployment of the solution?
No.
What do I think about the stability of the solution?
Not usually, but sometimes we do.
What do I think about the scalability of the solution?
No issues encountered.
How are customer service and technical support?
Customer Service:
Excellent.
Technical Support:Excellent.
Which solution did I use previously and why did I switch?
We applied MPP Appliance for the first time earlier we were running on SMP’s.
How was the initial setup?
It was straightforward.
What about the implementation team?
Vendor- they had good expertise.
What was our ROI?
Good.
Which other solutions did I evaluate?
We also looked at Teradata.
What other advice do I have?
Very good and cost effective with very good customer support.
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
Last updated: Feb 15 2015
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it_user203334
Technical Lead with 1,001-5,000 employees
Vendor
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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