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IBM Netezza Performance Server vs PuppyGraph comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

IBM Netezza Performance Server
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
45
Ranking in other categories
Data Warehouse (12th), Hadoop (6th)
PuppyGraph
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
NoSQL Databases (23rd)
 

Featured Reviews

Shiv Subramaniam Koduvayur - PeerSpot reviewer
Project Manager at MAF Retail
Parallel data processing streamlines operations while cost and cloud integration challenge adoption
The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and interaction with cloud applications are limited. The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment. For the cost to be reduced, it should match competitors. Many features need to be incorporated on the cloud.
Gurmeet K. - PeerSpot reviewer
Senior Product Manager at a computer software company with 11-50 employees
Unified graph querying has driven deep multi-hop reasoning and transformed data governance
There are multiple features of PuppyGraph that I personally love. One of them is zero-ETL graph querying, which helps us connect with our data warehouses easily and link via dynamic JSON graph schemas. This enables us to explore relational tables, nodes, and edges in under seven minutes, which previously took three and a half hours, so it is a great reduction. I also love the massive distributed graph scalability. The distributed vectorized compute engine helps us auto-shard queries across nodes and consistently execute 10-hop traversals across multi-billion edge data sets in under two seconds. Additionally, I appreciate the unified single source of truth. It helps us commit to the underlying tables, and those commits are immediately queryable in the graph layer within zero seconds of ETL replication lag. This ensures that our AI agents never reason over stale data and always access the latest data without any lag or changes left. The governance and security of PuppyGraph are very good, and I would rate it 10 out of 10 in that aspect. PuppyGraph's governance and security features have helped our organization, as it queries lakehouse tables directly where they originate. This delivers an exceptional governance posture for our enterprise applications with the help of inherent source-level governance and ABAC, which has supported the existing row-level security while helping us implement RBAC and column masking policies. It stabilizes operations inside Snowflake in our data warehouses and has achieved 100% policy consistency with zero security drift. The accuracy and reliability of PuppyGraph's output are really great.

Quotes from Members

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

Pros

"ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with, and in comparison with the R associations package, it is +1000x faster."
"Netezza can process all this amount of data and give a result in less than 40 seconds."
"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 performance has meant that we reclaimed many hours in our batch window."
"For every organization that I have been in that has Netezza, the ability to load and run queries is greatly simplified and A LOT faster than any other DBMS out there."
"Distribution concurrency control."
"ROI is high because analyst productivity improved drastically."
"Distribution (no index or partition), built-in analytics is a major advantange."
"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."
"PuppyGraph is the best answer."
 

Cons

"Functions are difficult to deploy."
"I can't extend the storage, only up to 6x compress of data."
"The scalability is not as expected. The capacity in this black box is not enough."
"I am using SAS and it's a dis-appointment due to limited in-DB processing, including data connection pool, that was never resolved by both SAS and IBM Netezza."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"It is not designed to process a huge volume of data."
"Application development in Netezza is done using SQL scripts and stored procedures."
"PuppyGraph is not a long-term solution as it is a virtual graph. Eventually, after we get the model right, we needed to move to Memgraph, another graph database."
 

Pricing and Cost Advice

"Expensive to maintain compared to other solutions."
"The solution has a yearly licensing fee, and users have to pay extra for support."
"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 annual licensing fees are twenty-two percent of the product cost."
"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."
"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."
Information not available
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Comparison Review

it_user232068 - PeerSpot reviewer
Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Outsourcing Company
15%
Comms Service Provider
10%
Manufacturing Company
9%
Construction Company
26%
Insurance Company
24%
Comms Service Provider
12%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise33
No data available
 

Questions from the Community

What needs improvement with IBM Netezza Performance Server?
The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and interaction with cloud applications are limited. The cloud version is only availab...
What advice do you have for others considering IBM Netezza Performance Server?
The solution has generally received positive feedback from me and is recommended for continued use by end users. However, the product cost is high compared to others in the market, and this cost ha...
What needs improvement with PuppyGraph?
PuppyGraph is a virtual graph and not a real graph data model. However, at some point in time, once we freeze this as the graph and the graph data model, we would like to extend to a proper graph, ...
What is your primary use case for PuppyGraph?
The main use case for PuppyGraph is establishing a graph data model layer on top of our existing systems. We do not want to bring in a new product which is completely graph-oriented, mainly because...
What advice do you have for others considering PuppyGraph?
There are no concrete recommendations. The important thing is that if they have to choose PuppyGraph, they need to have the clarity that PuppyGraph is not a long-term solution. Only if they have a ...
 

Also Known As

Netezza Performance Server, Netezza, Netezza Analytics
No data available
 

Overview

 

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
Information Not Available
Find out what your peers are saying about IBM Netezza Performance Server vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.