IBM Netezza Performance Server vs Snowflake comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Netezza Performance Server
Ranking in Data Warehouse
10th
Average Rating
8.0
Number of Reviews
33
Ranking in other categories
No ranking in other categories
Snowflake
Ranking in Data Warehouse
1st
Average Rating
8.4
Number of Reviews
95
Ranking in other categories
Cloud Data Warehouse (1st)
 

Market share comparison

As of June 2024, in the Data Warehouse category, the market share of IBM Netezza Performance Server is 3.2% and it decreased by 26.6% compared to the previous year. The market share of Snowflake is 16.5% and it decreased by 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
Unique Categories:
No other categories found
Cloud Data Warehouse
30.6%
 

Featured Reviews

Shemal Gandhi - PeerSpot reviewer
Aug 16, 2023
A cost-effective data warehousing tool, but security features like TDE encryption are missing
IBM Netezza Performance Server is a basic data warehousing tool we use for internal reporting IBM Netezza Performance Server is a cost-effective solution. Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server. I have been working with IBM Netezza…
Rahul Saxena - PeerSpot reviewer
Jan 23, 2024
The product is fast and easy to use, but it is expensive compared to other products in the market
People who want to buy the product must initially use the free trial version. It can be installed on a desktop. The user can do a lot of R&D. We have a good playground. We can play with the components and learn them easily. We can learn how each component talks to each other, how the performance is, and how to create tables. There are a ton of tasks we can do. After ingesting the data, we can perform advanced analytics and make models. The end users can do many things on the tool. It is quite an easy tool. I will advise any new user to install a free version. They will be able to learn about the product and get good insights when they work on their pilot project. Overall, I rate the tool a seven out of ten.

Quotes from Members

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

Pros

"Distribution concurrency control."
"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 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 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 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."
"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 performance is most important to me, and it helps our ability to make business decisions quickly."
"The solution speeds up the process of onboarding."
"The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services."
"The tool's performance is good. I think it's the best in the game right now. It usually charges per query. For example, if you run a SQL query on Snowflake with the same number of data records, it would take less than half the time compared to running it on Microsoft. It has good documentation. You can pick up Snowflake if you have previous knowledge of SQL."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well."
"It's ultra-fast at handling queries, which is what we find very convenient."
 

Cons

"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"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."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"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."
"Concurrency limit needs to be increased somewhat."
"The scalability is not as expected. The capacity in the black box is not enough."
"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."
"For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft."
"I would like to see a client version of the GUI."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"Snowflake needs transparency over costs and pricing."
"We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model."
"The product's performance could be improved."
"It doesn't enforce typical relational database constraints. Quite expensive."
"I am still in the learning stage. It has good security, but it can always be more secure."
 

Pricing and Cost Advice

"The solution has a yearly licensing fee, and users have to pay extra for support."
"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."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"Pricing is based on usage. It is the most expensive of our data tools."
"We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"It's expensive."
"Users have to pay a licensing fee for the solution, which is expensive."
"We use Snowflake pretty heavily. We pay a significant amount of money for the tool. I'd say we pay $300k to $400K every year."
"The price for the solution's license depends on the use cases."
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Comparison Review

it_user232068 - PeerSpot reviewer
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
Educational Organization
67%
Financial Services Firm
8%
Computer Software Company
5%
Insurance Company
3%
Educational Organization
27%
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Netezza Performance Server?
IBM Netezza Performance Server is a cost-effective solution.
What is your experience regarding pricing and costs for IBM Netezza Performance Server?
The solution has a yearly licensing fee, and users have to pay extra for support.
What needs improvement with IBM Netezza Performance Server?
Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
What is your experience regarding pricing and costs for Snowflake?
The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If yo...
What needs improvement with Snowflake?
I can only access Snowflake from the web. It would be better if we could have an app that we can install locally on our laptops to connect to the server without needing to go to the web page. Apart...
 

Also Known As

Netezza Performance Server, Netezza
Snowflake Computing
 

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
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about IBM Netezza Performance Server vs. Snowflake and other solutions. Updated: May 2024.
787,104 professionals have used our research since 2012.