IBM Netezza Performance Server vs. Oracle Autonomous Data Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Netezza Performance Server
Score 7.4 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
Oracle Autonomous Data Warehouse
Score 10.0 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
Pricing
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Best Alternatives
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Small Businesses
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Score 8.4 out of 10
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Score 8.4 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Cloudera Enterprise Data Hub
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Score 9.0 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 10.0 out of 10
Oracle Exadata
Oracle Exadata
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Likelihood to Recommend
9.3
(0 ratings)
8.9
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
IBM Netezza Performance ServerOracle Autonomous Data Warehouse
Likelihood to Recommend
Netezza Performance Server enhances the data scientist's ability to rapidly design, train, and deploy machine learning models in the database. Netezza Performance Server is essential for implementing cognitive machine learning, providing data scientists with in-database analytics, and enabling them to collaborate on a single platform. Netezza Performance Server supports the use of built-in Spark as well as Python and R for rapid and sophisticated data science and machine learning adoption at scale.
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II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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Pros
  • The speed of operations is really second to none
  • The data control aspect is really effective and very useful
  • Stability and no latency issues notices during operations
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  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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Cons
  • The cost is expensive for medium-sized and smaller companies.
  • IBM could bring back the technical account managers.
  • The procurement process is a hassle.
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  • Level of integration or compatibility to connect it to different applications can be improved
  • The support service is slow
  • The issue is with the record number limitation of not being able to bring back more than one million records or not being able to export larger datasets to Excel
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Likelihood to Renew
No answers on this topic
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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Implementation Rating
No answers on this topic
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Alternatives Considered
With a simple user interface and
access to IBM's online instructions, Netezza Performance Server is easy to
operate. It also has built-in contribution facilities, as well as good customer
support, to make the DBA's job easier.
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Our organization adopted Oracle almost 20 years ago and there were a few options at that time. Oracle was the leading database tech company at that time and it was a safe choice to us. And they have been evolved and always ahead of new technologies, high performance, and professional business support. We didn't find a good reason to replace Oracle with any other competitors.
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Return on Investment
  • It allows us to work together simultaneously in the database to query our custom results.
  • It requires users to know the object name as it does not pop up in their text editor. Thus, users take more time in writing queries.
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  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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