Amazon Bedrock vs. IBM SPSS Modeler

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Bedrock
Score 9.0 out of 10
N/A
Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
$0
Price for 1,000 input or $0.0004 for 1000 output tokens
IBM SPSS Modeler
Score 7.8 out of 10
N/A
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
$499
per month
Pricing
Amazon BedrockIBM SPSS Modeler
Editions & Modules
Amazon Titan models- Titan Text – Lite
$0.0003
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light
$0.0003
Price for 1,000 input
Cohere models - Command Light
$0.0006
Price for 1,000 output
Meta model - Llama 2 Chat (13B)
$0.00075
Price for 1,000 input
Meta model - Llama 2 Chat (13B)
$0.001
Price for 1,000 output
Amazon Titan models- Titan Text – Express
$0.0013
Price for 1,000 input tokens or $0.0017 for 1000 output tokens
Cohere models - Command
$0.0015
Price for 1,000 inputtokens
Anthropic models - Claude Instant
$0.00163
Price for 1,000 input tokens
Cohere models - Command
$0.0020
Price for 1,000 output
Anthropic models - Claude Instant
$0.00551
Price for 1,000 output tokens
Anthropic models - Claude
$0.01102
Price for 1,000 input tokens
AI21 models - Jurassic-2 Mid
$0.0125
Price for 1,000 input or output tokens
AI21 models - Jurassic-2 Ultra
$0.0188
Price for 1,000 input or output tokens
Anthropic models - Claude
$0.03268
Price for 1,000 output tokens
Stability AI Model - SDXL1.0
$49.86
per hour (one month commitment)
IBM SPSS Modeler Personal
4,670
per year
IBM SPSS Modeler Professional
7,000
per year
IBM SPSS Modeler Premium
11,600
per year
IBM SPSS Modeler Gold
contact IBM
per year
Offerings
Pricing Offerings
Amazon BedrockIBM SPSS Modeler
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional DetailsIBM 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.
More Pricing Information
Community Pulse
Amazon BedrockIBM SPSS Modeler
Top Pros

No answers on this topic

Top Cons

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Best Alternatives
Amazon BedrockIBM SPSS Modeler
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Saturn Cloud
Saturn Cloud
Score 9.1 out of 10
Medium-sized Companies
Posit
Posit
Score 9.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Posit
Posit
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon BedrockIBM SPSS Modeler
Likelihood to Recommend
-
(0 ratings)
10.0
(6 ratings)
Support Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Amazon BedrockIBM SPSS Modeler
Likelihood to Recommend
Amazon AWS
No answers on this topic
IBM
Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.
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Pros
Amazon AWS
No answers on this topic
IBM
  • Combine text and data
  • Provide facilities for all phases of the data mining process.
  • Use a node and stream paradigm to easily and quickly create models.
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Cons
Amazon AWS
No answers on this topic
IBM
  • Has very old style graphs, with lots of limitations.
  • Some advanced statistical functions cannot be done through the menu.
  • The data connectivity is not that extensive.
  • It's an expensive tool.
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Support Rating
Amazon AWS
No answers on this topic
IBM
The online support board is helpful and the free add ons are incredibly appreciated.
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Alternatives Considered
Amazon AWS
No answers on this topic
IBM
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.
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Return on Investment
Amazon AWS
No answers on this topic
IBM
  • Positive - Ease of decision making and reduction in product life cycle time.
  • Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
  • Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.
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ScreenShots

IBM SPSS Modeler Screenshots

Screenshot of Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.Screenshot of Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.Screenshot of Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.Screenshot of Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.