Apache Hadoop vs. IBM Netezza Performance Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 6.9 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
IBM Netezza Performance Server
Score 8.1 out of 10
N/A
Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).N/A
Pricing
Apache HadoopIBM Netezza Performance Server
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopIBM Netezza Performance Server
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopIBM Netezza Performance Server
Considered Both Products
Hadoop
Chose Apache Hadoop
No SQL database were evaluated along with MPP platform. Hadoop performs very well compared to the other platforms. Also since lot of investment goes into Hadoop there is a good chance of getting what one needs from the developer community.
IBM Netezza Performance Server

No answer on this topic

Top Pros
Top Cons
Best Alternatives
Apache HadoopIBM Netezza Performance Server
Small Businesses

No answers on this topic

Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.6 out of 10
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopIBM Netezza Performance Server
Likelihood to Recommend
8.9
(36 ratings)
9.3
(6 ratings)
Likelihood to Renew
9.6
(8 ratings)
-
(0 ratings)
Usability
8.5
(5 ratings)
-
(0 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
-
(0 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopIBM Netezza Performance Server
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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IBM
We can query the data source and treat multiple databases
as one with IBM Netezza Performance Server.



While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
management.



To drive organizational performance, Netezza Performance
Server automatically simplifies data and AI to centralize all analytics
activities on the device, exactly where the data resides.



For data processing and application dashboards, IBM Netezza
Performance Server is quite beneficial.





IBM Netezza Performance Server simplifies event setup
by notifying you when a hardware component fails, allowing you to quickly
replace it.
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Pros
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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IBM
  • IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
  • Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
  • We can prioritize specific users and queries using IBM Netezza Performance Server.
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Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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IBM
  • More tech support may make it easier as it is only limited to be done via company representatives
  • Overhead cost for replacements and services looks like it is high compared to others
  • Integration with other cloud based application will be great
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Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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IBM
No answers on this topic
Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
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IBM
No answers on this topic
Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
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IBM
No answers on this topic
Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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IBM
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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IBM
Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.
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Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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IBM
  • The appliance is all in one so we have all licenses and support contracts under one roof.
  • The cost is expensive so ROI may take time to be realized.
  • If done correctly, then Netezza provides the opportunity for huge ROI.
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ScreenShots