Aster Data Map Reduce vs IBM Netezza Performance Server comparison

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131 views|105 comparisons
100% willing to recommend
IBM Logo
2,651 views|1,497 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Aster Data Map Reduce and IBM Netezza Performance Server based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
768,246 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
"It's stable and reliable.""The most valuable feature is the ease of uploading data from multiple sources.""The ease of deployment is useful so clients are up and running quickly in comparison to other products."

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"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.""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 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 performance is most important to me, and it helps our ability to make business decisions quickly.""The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance.""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.""IBM Netezza Performance Server is a cost-effective solution.""The most valuable feature would be the fact that it has been running for awhile in an appliance format."

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Cons
"There are some ways that the handling of unstructured data could be improved.""From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing.""It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

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"The scalability is not as expected. The capacity in the black box is not enough.""The only issue is that it's not expandable.""Concurrency limit needs to be increased somewhat.""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.""Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.""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.""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.""LIke Teradata, we can’t add a node/SPU to the existing appliance."

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Pricing and Cost Advice
  • "The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
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  • "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."
  • "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."
  • "The solution has a yearly licensing fee, and users have to pay extra for support."
  • More IBM Netezza Performance Server Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Questions from the Community
    Top Answer:It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.
    Top Answer:Some of our clients are looking for on-premise installations as well. Although we don't have any, some of our prospects are also asking, and we are not sure if that part is easily doable or is as… more »
    Top Answer:IBM Netezza Performance Server is a cost-effective solution.
    Top Answer:The solution has a yearly licensing fee, and users have to pay extra for support.
    Top Answer:Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server.
    Ranking
    19th
    out of 34 in Data Warehouse
    Views
    131
    Comparisons
    105
    Reviews
    1
    Average Words per Review
    525
    Rating
    7.0
    10th
    out of 34 in Data Warehouse
    Views
    2,651
    Comparisons
    1,497
    Reviews
    2
    Average Words per Review
    334
    Rating
    7.0
    Comparisons
    Also Known As
    Netezza Performance Server, Netezza
    Learn More
    Overview

    SQL-MapReduce is a framework created by Teradata Aster to allow developers to write powerful and highly expressive SQL-MapReduce functions in languages such as Java, C#, Python, C++, and R and push them into the discovery platform for high performance analytics. Analysts can then invoke SQL-MapReduce functions using standard SQL or R through Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.

    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.
    Sample Customers
    Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
    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
    No Data Available
    REVIEWERS
    Financial Services Firm37%
    Retailer16%
    Comms Service Provider11%
    Insurance Company11%
    VISITORS READING REVIEWS
    Educational Organization65%
    Financial Services Firm8%
    Computer Software Company5%
    Insurance Company3%
    Company Size
    No Data Available
    REVIEWERS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business5%
    Midsize Enterprise69%
    Large Enterprise26%
    Buyer's Guide
    Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
    768,246 professionals have used our research since 2012.

    Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews. Aster Data Map Reduce is rated 7.4, while IBM Netezza Performance Server is rated 8.0. The top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". On the other hand, the top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". Aster Data Map Reduce is most compared with , whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Snowflake, Oracle Database, Teradata and SQL Server.

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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.