IBM SPSS Modeler vs. Qlik AutoML

Qlik AutoML

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM SPSS Modeler	Score 7.1 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.	$4,670 per year
Qlik AutoML	Score 0.0 out of 10	N/A	Qlik AutoML is presented as an automated, no-code machine learning solution that enables users to create ML experiments, identify key drivers in data and train models. And make future predictions with full explainability data, and quickly publish the data or directly integrate models into Qlik Sense® apps for fully interactive analysis and what-if scenario planning.	N/A

Pricing

IBM SPSS Modeler

Qlik AutoML

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

No answers on this topic

Offerings

Pricing Offerings
IBM SPSS Modeler	Qlik AutoML
Free Trial
Yes	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

Optional

No setup fee

Additional 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.

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More Pricing Information

Community Pulse
	IBM SPSS Modeler	Qlik AutoML
Considered Both Products	IBM SPSS Modeler George DeMaagd, PharmD.,BCPS Professor of Pharmacy and Associate Dean of Academic Administration College of Pharmacy Chose IBM SPSS Modeler Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler Incentivized Helpful? Tim Daciuk Director, Advanced Analytics Chose IBM SPSS Modeler IBM SPSS Modeler is considerably easier to use. It allows for very rapid development and the ability to get to a goal quickly. There is no need to learn a new programming language so the analyst has the ability to focus on the problem rather than the pedantics of managing … Incentivized Helpful? Ben Holmes Senior Data Scientist Chose IBM SPSS Modeler We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and … Incentivized Helpful? Char Paul Psych n Stats Tutor Chose IBM SPSS Modeler JASP NVivo R Incentivized Helpful? Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) Chose IBM SPSS Modeler SPSS has a great set of analytical models, but SPSS is especially strong (compared to other tools) in complex statistical modeling and predictive analytics/statistics. However, the data connectivity features of SPSS are not the best, as the data sources SPSS can work with are … Incentivized Helpful? Himanshu Singh Product Manager Chose IBM SPSS Modeler The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities … Incentivized Helpful? Jesús Quintana Gerente de Ventas Sector Gobierno Chose IBM SPSS Modeler 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. Incentivized Helpful? JM Jim McDonough President Chose IBM SPSS Modeler SPSS Modeler provides a much more intuitive approach in helping you create and test models. Incentivized Helpful?	Qlik AutoML No answer on this topic

Features

IBM SPSS Modeler

Qlik AutoML

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	IBM SPSS Modeler 7.0 Ratings 18% below category average	Qlik AutoML - Ratings
Connect to Multiple Data Sources	7.00 Ratings	00 Ratings
Extend Existing Data Sources	7.00 Ratings	00 Ratings

Best Alternatives
	IBM SPSS Modeler	Qlik AutoML
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Medium-sized Companies	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	IBM SPSS Modeler	Qlik AutoML
Likelihood to Recommend	7.0 (0 ratings)	- (0 ratings)
Usability	8.0 (0 ratings)	- (0 ratings)
Support Rating	10.0 (0 ratings)	- (0 ratings)

User Testimonials
	IBM SPSS Modeler	Qlik AutoML
Likelihood to Recommend	Modeler is well suited for understanding consumer data. The ability to create a prediction and then to understand what is driving that prediction is strong in Modeler. Modeler is closely aligned with the CRISP-DM data mining approach meaning it is not just the 'doing' but also the theoretical background behind the development of data mining models. Incentivized Tim Daciuk Director, Advanced Analytics Read full review	No answers on this topic
Pros	A very nice and easy to use interface. A great variety of analytics, from statistical calculation to data validation and predictive statistics. Has a steep learning curve. Incentivized Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) Read full review	No answers on this topic
Cons	Some Analyses aren't there out of the box but can be added through open languages like R and Python. Graphs could be better. Unable to read data stored in OLAP databases Incentivized Jesús Quintana Gerente de Ventas Sector Gobierno Read full review	No answers on this topic
Usability	The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources Incentivized JM Jim McDonough President Read full review	No answers on this topic
Support Rating	The online support board is helpful and the free add ons are incredibly appreciated. Incentivized Char Paul Psych n Stats Tutor Read full review	No answers on this topic
Alternatives Considered	We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and I really like several of the helpful components for usability for SPSS like peaks into nodes. Incentivized Ben Holmes Senior Data Scientist Read full review	No answers on this topic
Return on Investment	I am able to study and work from home sustainably I can help others have a high quality university education experience to graduate confident and competent to meet gaps in the wider community Market research for my business Help other small businesses to create viable and high quality products and services Contribute to research projects: ethical, high quality data analyses and interpretation Incentivized Char Paul Psych n Stats Tutor Read full review	No answers on this topic
ScreenShots	IBM SPSS Modeler Screenshots