Cloudera Distribution for Hadoop vs Netezza Analytics comparison

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2,959 views|2,278 comparisons
91% willing to recommend
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235 views|103 comparisons
76% willing to recommend
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Executive Summary

We performed a comparison between Cloudera Distribution for Hadoop and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
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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
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools.""The tool can be deployed using different container technologies, which makes it very scalable.""The scalability of Cloudera Distribution for Hadoop is excellent.""Very good end-to-end security features.""It is helpful to gather and process data.""Cloudera is a very manageable solution with good support.""The product is completely secure.""Customer service and support were able to fix whatever the issue was."

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

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Cons
"The pricing needs to improve.""The price of this solution could be lowered.""There are multiple bugs when we update.""The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case.""The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions.""Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment.""The Cloudera training has deteriorated significantly.""The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."

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"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life.""The hardware has a risk of failure. They need to improve this.""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.""Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two.""In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there.""The solution could implement more reporting tools and networking utilities.""The Analytics feature should be simplified."

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Pricing and Cost Advice
  • "When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
  • "The price could be better for the product."
  • "I haven't bought a license for this solution. I'm only using the Apache license version."
  • "Cloudera requires a license to use."
  • "Cloudera Distribution for Hadoop is expensive, with support costs involved."
  • "I wouldn't recommend CDH to others because of its high cost."
  • "The price is very high. The solution is expensive."
  • "The solution is 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:The tool can be deployed using different container technologies, which makes it very scalable.
    Top Answer:The tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature enough and have an architecture that is complex enough opt for Cloudera, as its… more »
    Top Answer:The tool's ability to be deployed on a cloud model is an area of concern where improvements are required. The tool works very well when deployed on an on-premises model. The deployment on a cloud… more »
    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
    2nd
    out of 22 in Hadoop
    Views
    2,959
    Comparisons
    2,278
    Reviews
    14
    Average Words per Review
    409
    Rating
    8.1
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    103
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Overview
    Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
    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
    37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
    A leading online advertising network
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Computer Software Company21%
    Insurance Company14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company16%
    Educational Organization8%
    Manufacturing Company8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise17%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise9%
    Large Enterprise74%
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    767,995 professionals have used our research since 2012.

    Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews while Netezza Analytics is ranked 11th in Hadoop. Cloudera Distribution for Hadoop is rated 8.0, while Netezza Analytics is rated 7.4. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". 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". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, MongoDB and Cassandra, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.

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    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.