Compare Netezza vs. VMware Tanzu Greenplum

Netezza is ranked 6th in Data Warehouse with 5 reviews while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 4 reviews. Netezza is rated 6.8, while VMware Tanzu Greenplum is rated 7.2. The top reviewer of Netezza writes "The underlying hardware is made for performance on large amounts of data, and for analytics". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "A scalable and future-proof solution for data warehousing". Netezza is most compared with Oracle Exadata, SQL Server and IBM Db2, whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Amazon Redshift and Teradata. See our Netezza vs. VMware Tanzu Greenplum report.
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Netezza Logo
9,983 views|6,965 comparisons
VMware Tanzu Greenplum Logo
12,181 views|8,613 comparisons
Most Helpful Review
Use VMware Tanzu Greenplum? Share your opinion.
Find out what your peers are saying about Netezza vs. VMware Tanzu Greenplum and other solutions. Updated: March 2020.
408,154 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The performance is most important to me, and it helps our ability to make business decisions quickly.We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday.The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product.The most valuable feature would be the fact that it has been running for awhile in an appliance format.

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Pivotal Greenplum's shared-nothing architecture.The most valuable feature for us is horizontal scaling.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.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.

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Cons
The scalability is not as expected. The capacity in the black box is not enough.Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints.We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that.The only issue is that it's not expandable.In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all.

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Initial setup is a little complex. It took around two weeks to deploy.I saw some limitation with respect to the column store, and removing this would be an improvement.Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc.The installation is difficult and should be made easier.

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Pricing and Cost Advice
The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons.Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud.

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We are using the open-source version of this solution.

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Ranking
6th
out of 31 in Data Warehouse
Views
9,983
Comparisons
6,965
Reviews
5
Average Words per Review
501
Avg. Rating
6.8
8th
out of 31 in Data Warehouse
Views
12,181
Comparisons
8,613
Reviews
4
Average Words per Review
352
Avg. Rating
7.3
Top Comparisons
Compared 29% of the time.
Compared 14% of the time.
Compared 8% of the time.
Compared 11% of the time.
Also Known As
Greenplum, Pivotal Greenplum
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IBM
VMware
Overview
IBM Netezza appliances are now part of IBM PureSystems - expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances.

Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

Offer
Learn more about Netezza
Learn more about VMware Tanzu Greenplum
Sample Customers
Seattle ChildrenĀs Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, FoxwoodsGeneral Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
REVIEWERS
Financial Services Firm40%
Comms Service Provider13%
Retailer13%
Insurance Company7%
VISITORS READING REVIEWS
Software R&D Company48%
Retailer10%
Comms Service Provider9%
Media Company8%
REVIEWERS
Financial Services Firm44%
Marketing Services Firm19%
Comms Service Provider19%
Pharma/Biotech Company6%
VISITORS READING REVIEWS
Software R&D Company35%
Financial Services Firm15%
Comms Service Provider14%
Insurance Company4%
Find out what your peers are saying about Netezza vs. VMware Tanzu Greenplum and other solutions. Updated: March 2020.
408,154 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.