Compare Netezza vs. SAP HANA

Netezza is ranked 5th in Data Warehouse with 8 reviews while SAP HANA is ranked 6th in Relational Databases with 4 reviews. Netezza is rated 7.6, while SAP HANA is rated 8.2. The top reviewer of Netezza writes "The underlying hardware is made for performance on large amounts of data, and for analytics". On the other hand, the top reviewer of SAP HANA writes "Huge bandwidth and offers real time results ". Netezza is most compared with Oracle Exadata, SQL Server and IBM Db2, whereas SAP HANA is most compared with SQL Server, Oracle Database and Teradata.
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Netezza Logo
9,592 views|6,576 comparisons
SAP HANA Logo
10,122 views|8,225 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
366,090 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The performance is most important to me, and it helps our ability to make business decisions quickly.We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday.The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product.The most valuable feature would be the fact that it has been running for awhile in an appliance format.The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general.The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that.Distribution concurrency control.

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If you want to scale with new processes and new reports, that's fairly easy.This solution is very fast.It has a very huge bandwidth and data transfer.Provides us with predictive capabilities for asset maintenance, and real-time forecasts.

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Cons
The scalability is not as expected. The capacity in the black box is not enough.Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints.We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that.The only issue is that it's not expandable.In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all.Concurrency limit needs to be increased somewhat.LIke Teradata, we can’t add a node/SPU to the existing appliance.

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In terms of improvement, the speed is not as good as we thought it would be. That is why we are trying different solutions that will be built with different technologies.The inclusion of a well-performing Time Machine is vital.The solution is very expensive, however. The pricing depends on the number of users and many other factors that affect licensing.Needs graphical programming without coding.

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Pricing and Cost Advice
The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons.Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud.

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Set up a consortium of consulting partners and hardware vendors to define your tech. Landscape TCO (total cost of ownership) and then approach the OEM for pricing (on-premise or on cloud or a hybrid model). Check if you can bring your own licenses for some of the existing application licenses on the new platform, to reduce TCO.

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Ranking
5th
out of 30 in Data Warehouse
Views
9,592
Comparisons
6,576
Reviews
8
Average Words per Review
544
Avg. Rating
7.6
6th
Views
10,122
Comparisons
8,225
Reviews
4
Average Words per Review
447
Avg. Rating
8.3
Top Comparisons
Compared 29% of the time.
Compared 13% of the time.
Compared 7% of the time.
Compared 41% of the time.
Compared 9% of the time.
Compared 8% of the time.
Also Known As
SAP High-Performance Analytic Appliance, HANA
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IBM
SAP
Overview
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.

The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.

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Sample Customers
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, FoxwoodsUnilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company Limited
Top Industries
REVIEWERS
Financial Services Firm47%
Comms Service Provider13%
Retailer13%
Healthcare Company7%
VISITORS READING REVIEWS
Software R&D Company19%
Retailer16%
Financial Services Firm16%
Comms Service Provider9%
VISITORS READING REVIEWS
Software R&D Company25%
Comms Service Provider11%
Financial Services Firm11%
Retailer9%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: September 2019.
366,090 professionals have used our research since 2012.
We monitor all Relational Databases 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.
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