Netezza Analytics Overview

Netezza Analytics is the #4 ranked solution in our list of top Hadoop tools. It is most often compared to Apache Spark: Netezza Analytics vs Apache Spark

What is Netezza Analytics?
IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.
Buyer's Guide

Download the Hadoop Buyer's Guide including reviews and more. Updated: June 2021

Netezza Analytics Customers
A leading online advertising network
Netezza Analytics Video

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RB
Manager-Projects,Data Analyst & DBA at a tech services company with 10,001+ employees
Consultant
Reduces my costs, not only of the appliance but of support and maintenance, drastically

Pros and Cons

  • "It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."
  • "Administration of this product is too tough. It's very complex because of the tools which it's missing."

What other advice do I have?

The first thing is, do a full PoC where you actually plug in dummy data. Start with millions of records and try out the options which you have already in your environment and see if you really get a benefit in terms of performance. Because this product is mainly to improve the performance. There are two things. First, it improves the performance and then it's easy to maintain. When I say easy, you would not need a DBA at all. Anybody who has really good knowledge in SQL should be able to maintain this product. That cost, of a DBA, you will completely be eliminating. The first part of this…
Senior Enterprise Architect at a retailer with 10,001+ employees
Vendor
Needs better community and disaster recovery support, though data compression was fairly impressive

Pros and Cons

  • "Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
  • "Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
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Project Manager
Vendor
Speed, storage, RAM contribute to a large capacity but limited in-DB processing with SAS

Pros and Cons

  • "Speed contributes to large capacity."
  • "In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

What other advice do I have?

Make sure to check the capability regarding in-DB processing with the application you will be using with this appliance. 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.
Senior Information Management Consultant at a retailer with 51-200 employees
Vendor
It has allowed us to get reports that were previously unavailable, but the in-house development tool needs work.

What is most valuable?

There is minimal on-going maintenance.

How has it helped my organization?

There were some reports we couldn't get because of performance, but with Netezza we could get more of them.

What needs improvement?

It needs a better in-house development tool.

For how long have I used the solution?

I've used it for three years.

What was my experience with deployment of the solution?

Functions are difficult to deploy.

What do I think about the stability of the solution?

No issues encountered.

What do I think about the scalability of the solution?

No issues encountered.

How are customer service and technical support?

Customer Service: 7/10. Technical Support: 7/10.

Which solution did I use previously and why did I switch?

Our customers mostly…
Senior Analytics Specialist - BI Enterprise Design + Development at a retailer with 1,001-5,000 employees
Vendor
ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with.

What other advice do I have?

I would have to understand the specifics of the organization, the data size, the tasks, etc. to make any recommendations.
Senior Hadoop Engineer with 1,001-5,000 employees
Vendor
RDBMS appliance scalable upto PetaBytes

What other advice do I have?

I don’t want to be biased but it all depends on the business requirement because there are many models for it, which range from 7.8 TB to 1.2 PB (uncompressed). If the business has done a feasibility check on Netezza for their scalability plus the growth and they found it to be within their estimates then I would suggest that they have taken off from the right runway.
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Hadoop
Buyer's Guide
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