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Score 7.5 out of 101
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Score 7.9 out of 101

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Likelihood to Recommend

Amazon SageMaker

SageMaker is great for serving Jupyter notebooks, particularly if you already use other AWS products, such as S3. SageMaker's model retraining function is useful if you write a few Lambda functions to invoke jobs. Its model serving function is useful if your team has limited resources and is willing to submit to SageMaker's opinions.
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IBM SPSS Modeler

Modeler is well suited for Retail, Credit Scoring, Telcos, Government. And less suited when it comes to transactional environments.
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Pros

  • SageMaker is useful as a managed Jupyter notebook server. Using the notebook instances' IAM roles to grant access to private S3 buckets and other AWS resources is great. Using SageMaker's lifecycle scripts and AWS Secrets Manager to inject connection strings and other secrets is great.
  • SageMaker is good at serving models. The interface it provides is often clunky, but a managed, auto-scaling model server is powerful.
  • SageMaker is opinionated about versioning machine learning models and useful if you agree with its opinions.
Gavin Hackeling profile photo
  • GUI is really well accomplished and friendly, almost everyone with little investment in training can take advantage of the tool.
  • Escalability, you can grow your investment in licensing according to your actual needs, from an annual authorized user, to perpetual concurrent and Big Data and Machine Learning capabilities.
  • Open Sorce Ready: take leverage of all your developments made in R or Python and deployment all over the organization even with the user who isn´t used to code.
Jesús Quintana profile photo

Cons

  • SageMaker does not allow you to schedule training jobs.
  • SageMaker does not provide a mechanism for easily tracking metrics logged during training.
  • We often fit feature extraction and model pipelines. We can inject the model artifacts into AWS-provided containers, but we cannot inject the feature extractors. We could provide our own container to SageMaker instead, but this is tantamount to serving the model ourselves.
Gavin Hackeling profile photo
  • Too much foreign programming software
Olayinka Awoyemi profile photo

Likelihood to Renew

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IBM SPSS Modeler10.0
Based on 1 answer
because it is an excellent software
Olayinka Awoyemi profile photo

Usability

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IBM SPSS Modeler10.0
Based on 1 answer
Easy to use
Olayinka Awoyemi profile photo

Support

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IBM SPSS Modeler9.0
Based on 1 answer
It's been a great deal
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Implementation

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IBM SPSS Modeler8.0
Based on 1 answer
Everything seems to went on according to plan
Olayinka Awoyemi profile photo

Alternatives Considered

We have not invested in another machine learning software at this time and so far this has proved very successful with our machine learning teams. As mentioned, I am training these individuals simply on the fundamentals of the software and using it/customizing it for their needs. It has been very easy to do this and has gotten great reviews across the organization so far.
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When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
Jesús Quintana profile photo

Return on Investment

  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Gavin Hackeling profile photo
  • Efficient result
  • Validity of result
  • Improved customer service
Olayinka Awoyemi profile photo

Pricing Details

Amazon SageMaker

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Amazon SageMaker Editions & Modules
Amazon SageMaker
Additional Pricing Details

IBM SPSS Modeler

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional
IBM SPSS Modeler Editions & Modules
IBM SPSS Modeler
Edition
IBM SPSS Modeler Personal
$4,6701
IBM SPSS Modeler Professional
$7,0001
IBM SPSS Modeler Premium
$11,6001
IBM SPSS Modeler Gold
contact IBM1
1. per year
Additional Pricing Details
IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.