Amazon Redshift vs Netezza Analytics comparison

The compared Amazon Web Services (AWS) and IBM solutions aren't in the same category. Amazon Web Services (AWS) is ranked #6 in CDW , with an average rating of 7.8, and holds a 7.6% mindshare in the category. IBM is ranked #8 in H , and holds a 1.4% mindshare. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.

Amazon Redshift

Read 71 Amazon Redshift reviews

3,804 Views
2,891 Comparison Views

86% willing to recommend

Netezza Analytics

Read 11 Netezza Analytics reviews

207 Views
176 Comparison Views

76% willing to recommend

Amazon Redshift

Netezza Analytics

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Executive Summary

We performed a comparison between Amazon Redshift and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

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Buyer's Guide

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July 2025

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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

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (6th)

Netezza Analytics

Average Rating

7.4

Number of Reviews

Ranking in other categories

Hadoop (8th)

Mindshare comparison

Amazon Redshift and Netezza Analytics aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.6%, up 7.7% compared to last year.
Netezza Analytics, on the other hand, focuses on Hadoop, holds 1.4% mindshare, up 1.4% since last year.

Cloud Data Warehouse

Hadoop

Featured Reviews

Sriram-Natesan

Tech Lead at Impetus

The ability to create a lot of views or materialized views is beneficial

Improvement in the immediate response and the process of getting into a call could be helpful. We have had to wait for at least twenty-four hours to get a call and then wait for a couple more hours for a solution. Improved connectivity to different BI tools and already published connectors for major tools in AWS could enhance the service.

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Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

A robust solution with good support, but a better GUI for database management is needed

The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product. I would rate this solution a seven out of ten.

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Quotes from Members

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

Pros

"Redshift Spectrum is the most valuable feature."

"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."

"The processing of data is very fast."

"Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."

"It allows for the storage of huge amounts of data."

"The most valuable feature of Redshift is its cluster."

"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."

"The ability to reload data multiple times at different times."

More Amazon Redshift pros

"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."

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"The most valuable feature is the performance."

"Speed contributes to large capacity."

"The need for administration involvement is quite limited on the solution."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

Cons

"Amazon Redshift does not work alone and requires integration with other AWS tools like S3 and Glue for a complete ecosystem."

"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."

"There are too many limitations with respect to concurrency."

"The speed of the solution and its portability needs improvement."

"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."

"Amazon Redshift is a little more expensive than other products."

"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."

"In our experiments, the handling of unstructured data was not very smooth."

More Amazon Redshift cons

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"The solution could implement more reporting tools and networking utilities."

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"The Analytics feature should be simplified."

"The most valuable features of this solution are robustness and support."

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

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

"The hardware has a risk of failure. They need to improve this."

More Netezza Analytics cons

Pricing and Cost Advice

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

"The cost must be improved."

"The product is quite expensive."

"I have heard complaints about the solution’s pricing, and thus I rate it as a five."

"The solution is available at a mid-range price compared to other vendors."

"The part that I like best is that you only pay for what you are using."

"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."

"It is an expensive product."

More Amazon Redshift pricing and cost advice

"Expensive to maintain compared to other solutions."

"The annual licensing fees are twenty-two percent of the product cost."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

15%

Manufacturing Company

10%

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

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What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

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What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

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Comparisons

Teradata vs Amazon Redshift

Compared 17% of the time

Snowflake vs Amazon Redshift

Compared 13% of the time

AWS Lake Formation vs Amazon Redshift

Compared 12% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 9% of the time

Oracle Exadata vs Amazon Redshift

Compared 7% of the time

More Amazon Redshift Competitors

No data available

Product Reports

Buyer's Guide

Amazon Redshift

July 2025

Download Amazon Redshift product report

Buyer's Guide

Netezza Analytics

July 2025

Download Netezza Analytics product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

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.

IBM

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

A leading online advertising network

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