IBM SPSS Modeler vs. Roambi (discontinued)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Roambi (discontinued)
Score 7.9 out of 10
N/A
Roambi was a cloud-based solution designed specifically for mobile data consumers, used to create touch-based data visualizations. It was acquired by SAP in 2016 for the SAP Analytics portfolio, and has since been discontinued as a standalone product.
$10
per user per month
Pricing
IBM SPSS ModelerRoambi (discontinued)
Editions & Modules
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
Starter
$10
per user per month
Business
$39
per user per month
Enterprise
$59
per user per month
Offerings
Pricing Offerings
IBM SPSS ModelerRoambi (discontinued)
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
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
IBM SPSS ModelerRoambi (discontinued)
Top Pros
Top Cons
Features
IBM SPSS ModelerRoambi (discontinued)
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM SPSS Modeler
-
Ratings
Roambi (discontinued)
9.0
1 Ratings
7% above category average
Publish to Web00 Ratings9.01 Ratings
Best Alternatives
IBM SPSS ModelerRoambi (discontinued)
Small Businesses
Saturn Cloud
Saturn Cloud
Score 9.1 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
Dataiku
Dataiku
Score 8.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM SPSS ModelerRoambi (discontinued)
Likelihood to Recommend
10.0
(6 ratings)
8.0
(11 ratings)
Likelihood to Renew
-
(0 ratings)
6.8
(10 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
IBM SPSS ModelerRoambi (discontinued)
Likelihood to Recommend
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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Discontinued Products
Getting Roambi up to speed in your company certainly is a quick win. After just a few days, several of our reports were mobilized, interactive and automatically updated. Building Roambi reports is not hard to do; the intuitive interface allows virtually any type of user to create his or her own reports.
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Pros
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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Discontinued Products
  • Report templates that are easy to learn, use, update and maintain.
  • Great looking reports that stay up-to-date with what Apple is producing. When Apple rolled out the new look and feel to their iOS7 release, Roambi created a brand new set of reports within two weeks to go along with the iOS7 changes.
  • Seamless integration with our existing BI environment, SAP Business Objects XI, 3.1. This drastically reduced the time from purchase to client-ready roll out from months to weeks.
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Cons
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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Discontinued Products
  • cardex type of presentation is already innovated in roambi in 2012, even iOS safari browser idea was created from this cardex style
  • blink view is only available for sap and ms sql
  • roambi publisher is very user-friendly and understandable for non technical person as well
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Likelihood to Renew
IBM
No answers on this topic
Discontinued Products
I would definitely use Roambi again because of its ease-of-use, but its lack of customization ability makes it difficult to recommend to businesses as business needs are always changing. People are picky, and on the Roambi project, we were not able to fully live up to the customer's expectations, limited by Roambi's preset limitations.
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Usability
IBM
No answers on this topic
Discontinued Products
VERY easy to use. Only limited by how the graphs and data is initially set up.
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Support Rating
IBM
The online support board is helpful and the free add ons are incredibly appreciated.
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Discontinued Products
No answers on this topic
Alternatives Considered
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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Discontinued Products
We have compared Roambi against Business Objects, Reporting Services (on tablet) and Cubeware Cockpit. All those solutions lack in support of touch capabilities and responsiveness. Roambi "feels" just right. There is no training required and users love to explore the application. Compared to Roambi all other solutions feel very technical and hard to understand.
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Return on Investment
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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Discontinued Products
  • Increased insights on customer success metrics (using a Layers report).
  • Higher motivation of employees, better communication towards employees, tighter bonds with the company - because of Roambi Flow. Periodic Flow magazines with analytic capabilities are sent out to the employees, as we value frequent and meaningful contact - both ways.
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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.