IBM Netezza Performance Server vs VMware Tanzu Greenplum comparison

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Executive Summary

We performed a comparison between IBM Netezza Performance Server and VMware Tanzu Greenplum based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Netezza Performance Server vs. VMware Tanzu Greenplum Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 most valuable feature would be the fact that it has been running for awhile in an appliance format.""The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance.""The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general.""The performance is most important to me, and it helps our ability to make business decisions quickly.""The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that.""Distribution concurrency control.""IBM Netezza Performance Server is a cost-effective solution."

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"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution.""Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform.""A very good, open-source platform.""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.""The loading speed is very good.""Helps us to achieve large-scale analytics.""Pivotal Greenplum's shared-nothing architecture.""It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."

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Cons
"The only issue is that it's not expandable.""IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available.""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.""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.""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.""LIke Teradata, we can’t add a node/SPU to the existing appliance.""The scalability is not as expected. The capacity in the black box is not enough.""Concurrency limit needs to be increased somewhat."

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"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often.""Tanzu Greenplum's compression for GPText could be made more efficient.""Lacks sufficient inbuilt machine-learning functions for complex use cases.""They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.""It will be very useful if we could communicate with other database types from Greenplum (using a database link).""VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database.""One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "The solution has a yearly licensing fee, and users have to pay extra for support."
  • More IBM Netezza Performance Server Pricing and Cost Advice →

  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "We are using the open-source version of this solution."
  • "Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
  • "It’s an open-source solution."
  • More VMware Tanzu Greenplum Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Questions from the Community
    Top Answer:IBM Netezza Performance Server is a cost-effective solution.
    Top Answer:The solution has a yearly licensing fee, and users have to pay extra for support.
    Top Answer:Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.
    Top Answer:It’s an open-source solution. There are no expenses for using it.
    Top Answer:Maintenance is time-consuming. It takes time to VACUUM and ANALYZE the tables to remove the fragmentations.
    Ranking
    10th
    out of 33 in Data Warehouse
    Views
    2,746
    Comparisons
    1,564
    Reviews
    2
    Average Words per Review
    334
    Rating
    7.0
    9th
    out of 33 in Data Warehouse
    Views
    2,186
    Comparisons
    1,771
    Reviews
    6
    Average Words per Review
    370
    Rating
    7.3
    Comparisons
    Also Known As
    Netezza Performance Server, Netezza
    Greenplum, Pivotal Greenplum
    Learn More
    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.

    VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform that enables organizations to store, manage, and analyze large volumes of data. It provides a unified analytics platform that supports various data types and sources, including structured, semi-structured, and unstructured data. 

    The solution is highly scalable and can be deployed on-premises, in the cloud, or hybrid environments. It includes advanced security features, high availability, and disaster recovery capabilities to minimize downtime and ensure business continuity. Tanzu Greenplum provides a comprehensive set of tools and services for building, deploying, and managing modern applications.

    Sample Customers
    Seattle Children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, Foxwoods
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Financial Services Firm37%
    Retailer16%
    Comms Service Provider11%
    Insurance Company11%
    VISITORS READING REVIEWS
    Educational Organization64%
    Financial Services Firm9%
    Computer Software Company5%
    Insurance Company4%
    REVIEWERS
    Financial Services Firm52%
    Marketing Services Firm12%
    Comms Service Provider12%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business5%
    Midsize Enterprise68%
    Large Enterprise27%
    REVIEWERS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    IBM Netezza Performance Server vs. VMware Tanzu Greenplum
    March 2024
    Find out what your peers are saying about IBM Netezza Performance Server vs. VMware Tanzu Greenplum and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. IBM Netezza Performance Server is rated 8.0, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". IBM Netezza Performance Server is most compared with Oracle Exadata, Snowflake, Oracle Database, SQL Server and Apache Hadoop, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and BigQuery. See our IBM Netezza Performance Server vs. VMware Tanzu Greenplum report.

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    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.