Amazon EMR vs Netezza Analytics comparison

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Executive Summary

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

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution helps us manage huge volumes of data.""The solution is pretty simple to set up.""The initial setup is straightforward.""We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot.""This is the best tool for hosts and it's really flexible and scalable.""The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.""The solution is scalable.""The initial setup is pretty straightforward."

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"The need for administration involvement is quite limited on the solution.""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.""The most valuable feature is the performance.""Speed contributes to large capacity.""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.""Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more.""For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

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Cons
"There is room for improvement in pricing.""There is no need to pay extra for third-party software.""The most complicated thing is configuring to the cluster and ensure it's running correctly.""The product's features for storing data in static clusters could be better.""The initial setup was time-consuming.""Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services.""The product must add some of the latest technologies to provide more flexibility to the users.""The dashboard management could be better. Right now, it's lacking a bit."

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"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two.""The solution could implement more reporting tools and networking utilities.""The hardware has a risk of failure. They need to improve this.""In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there.""The most valuable features of this solution are robustness and support.""Administration of this product is too tough. It's very complex because of the tools which it's missing.""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."

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Pricing and Cost Advice
  • "You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."
  • "The cost of Amazon EMR is very high."
  • "The price of the solution is expensive."
  • "Amazon EMR's price is reasonable."
  • "There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
  • "There is no need to pay extra for third-party software."
  • "Amazon EMR is not very expensive."
  • "The product is not cheap, but it is not expensive."
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  • "Expensive to maintain compared to other solutions."
  • "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."
  • "The annual licensing fees are twenty-two percent of the product cost."
  • More Netezza Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon EMR is a good solution that can be used to manage big data.
    Top Answer:As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data.
    Top Answer:Here are some things to consider when migrating from Netezza to AWS Redshift A. Migrating your data from Netezza to Redshift may be done using methods such as: o Use a third-party tool to export… more »
    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,198
    Comparisons
    1,882
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    100
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Learn More
    Overview
    Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.
    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.
    Sample Customers
    Yelp
    A leading online advertising network
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Media Company18%
    Wholesaler/Distributor18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    Buyer's Guide
    Hadoop
    March 2024
    Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon EMR is ranked 3rd in Hadoop with 20 reviews while Netezza Analytics is ranked 11th in Hadoop. Amazon EMR is rated 7.8, while Netezza Analytics is rated 7.4. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Netezza Analytics writes "ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with". Amazon EMR is most compared with Cloudera Distribution for Hadoop, Snowflake, Amazon Redshift, Azure Data Factory and Apache Spark, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.

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