Amazon EMR vs Netezza Analytics comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
2,198 views|1,882 comparisons
IBM Logo
235 views|100 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance.""The solution is scalable.""It has a variety of options and support systems.""The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.""The solution helps us manage huge volumes of data.""When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark.""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.""Amazon EMR's most valuable features are processing speed and data storage capacity."

More Amazon EMR Pros →

"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.""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.""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 need for administration involvement is quite limited on the solution.""Speed contributes to large capacity.""The most valuable feature is the performance."

More Netezza Analytics Pros →

Cons
"The dashboard management could be better. Right now, it's lacking a bit.""The initial setup was time-consuming.""The legacy versions of the solution are not supported in the new versions.""There is no need to pay extra for third-party software.""There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange.""The product must add some of the latest technologies to provide more flexibility to the users.""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.""There is room for improvement in pricing."

More Amazon EMR Cons →

"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.""Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two.""The Analytics feature should be simplified.""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.""The hardware has a risk of failure. They need to improve this.""I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

More Netezza Analytics Cons →

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."
  • More Amazon EMR Pricing and Cost Advice →

  • "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 →

    report
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    765,234 professionals have used our research since 2012.
    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.

    See our list of best Hadoop vendors.

    We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.