Apache Hadoop vs IBM Netezza Performance Server comparison

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Executive Summary

We performed a comparison between Apache Hadoop and IBM Netezza Performance Server based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Apache Hadoop vs. IBM Netezza Performance Server Report (Updated: November 2022).
655,711 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
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies.""The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable.""The scalability of Apache Hadoop is very good.""Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""We selected Apache Hadoop because it is not dependent on third-party vendors.""I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""Hadoop is extensible — it's elastic.""One valuable feature is that we can download data."

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"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."

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Cons
"Real-time data processing is weak. This solution is very difficult to run and implement.""I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness.""It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it.""From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective.""What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly.""Hadoop's security could be better.""I think more of the solution needs to be focused around the panel processing and retrieval of data.""The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."

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"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."

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Pricing and Cost Advice
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
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    Questions from the Community
    Top Answer:I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
    Top Answer:Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial.
    Top Answer:I am not sure about the price, but in terms of usability and utility of the software as a whole, I would rate it a three and a half to four out of five.
    Top Answer:IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available.
    Top Answer:I rate IBM Netezza Performance Server a seven out of ten.
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    Ranking
    6th
    out of 32 in Data Warehouse
    Views
    6,081
    Comparisons
    5,301
    Reviews
    9
    Average Words per Review
    502
    Rating
    8.0
    8th
    out of 32 in Data Warehouse
    Views
    5,568
    Comparisons
    4,059
    Reviews
    2
    Average Words per Review
    505
    Rating
    8.5
    Comparisons
    Also Known As
    Netezza Performance Server, Netezza
    Learn More
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
    IBM Netezza appliances are now part of IBM PureSystems - expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances.
    Offer
    Learn more about Apache Hadoop
    Learn more about IBM Netezza Performance Server
    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Seattle Childrens Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, Foxwoods
    Top Industries
    REVIEWERS
    Financial Services Firm50%
    Comms Service Provider33%
    Consumer Goods Company8%
    Government8%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company18%
    Comms Service Provider10%
    Manufacturing Company6%
    REVIEWERS
    Financial Services Firm35%
    Retailer18%
    Comms Service Provider12%
    Insurance Company12%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company18%
    Insurance Company10%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business30%
    Midsize Enterprise30%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business15%
    Midsize Enterprise9%
    Large Enterprise76%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise10%
    Large Enterprise77%
    Buyer's Guide
    Apache Hadoop vs. IBM Netezza Performance Server
    November 2022
    Find out what your peers are saying about Apache Hadoop vs. IBM Netezza Performance Server and other solutions. Updated: November 2022.
    655,711 professionals have used our research since 2012.

    Apache Hadoop is ranked 6th in Data Warehouse with 9 reviews while IBM Netezza Performance Server is ranked 8th in Data Warehouse with 2 reviews. Apache Hadoop is rated 8.0, while IBM Netezza Performance Server is rated 8.6. The top reviewer of Apache Hadoop writes "Has good processing power and speed and is capable of handling large volumes of data and doing online analysis". On the other hand, the top reviewer of IBM Netezza Performance Server writes "We are now able to analyze products, stores, suppliers and sales as quickly as we need". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, Azure Data Factory, Oracle Exadata and AWS Lake Formation, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, SQL Server and Cloudera Distribution for Hadoop. See our Apache Hadoop vs. IBM Netezza Performance Server report.

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    We monitor all Data Warehouse 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.