IBM SPSS Modeler vs. Iguazio

Iguazio

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
Iguazio	Score 10.0 out of 10	N/A	Iguazio, headquartered in Herzliya, provides a Data Science Platform to automate machine learning pipelines. It aims to accelerate the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. The vendor states Iguazio powers real-time data science applications for…	N/A

Pricing

IBM SPSS Modeler

Iguazio

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	Iguazio
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.

—

More Pricing Information

Community Pulse
	IBM SPSS Modeler	Iguazio
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?	Iguazio Douglas Carter Technical Manager Chose Iguazio Iguazio provides a generic and easy to use mechanism to describe and track code,metadata,inputs and outputs of machine learning related tasks(executions). Users is able to track various elements, store them in a database and presents all running jobs as well as historical jobs … Incentivized Helpful? Izaan Jivin Senior Project Manager Chose Iguazio Execution, experiment, data, model tracking, and automated deployment is done automatically through the MLRun serverless runtime engine. MLRun maintains a project hierarchy with strict membership and cross-team collaboration. End-to-end data governance is fully solidified and … Incentivized Helpful?

Features

IBM SPSS Modeler

Iguazio

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	IBM SPSS Modeler 7.0 Ratings 18% below category average	Iguazio 9.9 Ratings 17% above category average
Connect to Multiple Data Sources	7.00 Ratings	10.00 Ratings
Extend Existing Data Sources	7.00 Ratings	10.00 Ratings
Automatic Data Format Detection	00 Ratings	10.00 Ratings
MDM Integration	00 Ratings	9.50 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	IBM SPSS Modeler - Ratings	Iguazio 9.7 Ratings 15% above category average
Visualization	00 Ratings	9.50 Ratings
Interactive Data Analysis	00 Ratings	10.00 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	IBM SPSS Modeler - Ratings	Iguazio 9.7 Ratings 17% above category average
Interactive Data Cleaning and Enrichment	00 Ratings	10.00 Ratings
Data Transformations	00 Ratings	9.50 Ratings
Data Encryption	00 Ratings	9.50 Ratings
Built-in Processors	00 Ratings	10.00 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	IBM SPSS Modeler - Ratings	Iguazio 9.7 Ratings 15% above category average
Multiple Model Development Languages and Tools	00 Ratings	10.00 Ratings
Automated Machine Learning	00 Ratings	9.50 Ratings
Single platform for multiple model development	00 Ratings	10.00 Ratings
Self-Service Model Delivery	00 Ratings	9.50 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	IBM SPSS Modeler - Ratings	Iguazio 9.7 Ratings 13% above category average
Flexible Model Publishing Options	00 Ratings	10.00 Ratings
Security, Governance, and Cost Controls	00 Ratings	9.50 Ratings

Best Alternatives
	IBM SPSS Modeler	Iguazio
Small Businesses	Jupyter Notebook Score 9.4 out of 10	Jupyter Notebook Score 9.4 out of 10
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	Iguazio
Likelihood to Recommend	7.0 (0 ratings)	10.0 (0 ratings)
Usability	8.0 (0 ratings)	- (0 ratings)
Support Rating	10.0 (0 ratings)	- (0 ratings)

User Testimonials
	IBM SPSS Modeler	Iguazio
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	It is built in a way that supports low latency real-time data processing. The model can be triggered using different streaming engines without the need to write additional codes. It has serverless that enables developers to write code [that] automatically transform to auto-scaling production workload, significantly reducing time to market and resources. Incentivized Izaan Jivin Senior Project Manager Read full review
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	Dynamic scaling capacity. Central Metadata management. Data ingestion and preparation. Incentivized Izaan Jivin Senior Project Manager Read full review
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	The user interface is not so much user-friendly, and easy-to-use, navigate. Incentivized Douglas Carter Technical Manager Read full review
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	Iguazio provides a generic and easy to use mechanism to describe and track code,metadata,inputs and outputs of machine learning related tasks(executions). Users is able to track various elements, store them in a database and presents all running jobs as well as historical jobs in a single report. With Iguazio MLOps platform, data engineers,data scientist and MLOps engineers work in an unified environment with processes that increase productivity right out of the box. Incentivized Douglas Carter Technical Manager Read full review
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	Is a fully integrated solution with a user-friendly portal. Manage our ML pipeline end-to-end using Full-stack,user friendly environment. Iguazio enables our teams to manage all artefacts throughout their lifecycle. Enhance team work and collaboration in our teams. Incentivized Douglas Carter Technical Manager Read full review
ScreenShots	IBM SPSS Modeler Screenshots