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).
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SAS Enterprise Miner
Score9 out of 10
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SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.
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Pricing
IBM Netezza Performance Server
SAS Enterprise Miner
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Netezza Performance Server
SAS Enterprise Miner
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
IBM Netezza Performance Server
SAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of IBM Netezza Performance Server and SAS Enterprise Miner
Feature
IBM Netezza Performance Server
-
Ratings
SAS Enterprise Miner
8.8
4 Ratings
5% above category average
Connect to Multiple Data Sources
00 Ratings
8.14 Ratings
Extend Existing Data Sources
00 Ratings
9.04 Ratings
Automatic Data Format Detection
00 Ratings
9.34 Ratings
MDM Integration
00 Ratings
9.02 Ratings
Data Exploration
Comparison of Data Exploration features of IBM Netezza Performance Server and SAS Enterprise Miner
Feature
IBM Netezza Performance Server
-
Ratings
SAS Enterprise Miner
8.1
4 Ratings
4% below category average
Visualization
00 Ratings
7.14 Ratings
Interactive Data Analysis
00 Ratings
9.14 Ratings
Data Preparation
Comparison of Data Preparation features of IBM Netezza Performance Server and SAS Enterprise Miner
Feature
IBM Netezza Performance Server
-
Ratings
SAS Enterprise Miner
8.0
4 Ratings
2% below category average
Interactive Data Cleaning and Enrichment
00 Ratings
7.84 Ratings
Data Transformations
00 Ratings
8.24 Ratings
Data Encryption
00 Ratings
8.12 Ratings
Built-in Processors
00 Ratings
8.12 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of IBM Netezza Performance Server and SAS Enterprise Miner
Feature
IBM Netezza Performance Server
-
Ratings
SAS Enterprise Miner
8.8
4 Ratings
4% above category average
Multiple Model Development Languages and Tools
00 Ratings
7.54 Ratings
Automated Machine Learning
00 Ratings
9.82 Ratings
Single platform for multiple model development
00 Ratings
8.54 Ratings
Self-Service Model Delivery
00 Ratings
9.23 Ratings
Model Deployment
Comparison of Model Deployment features of IBM Netezza Performance Server and SAS Enterprise Miner
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info