IBM SPSS Modeler vs Starburst Enterprise comparison

IBM and Starburst are both solutions in the Data Science Platforms category. IBM is ranked #12 with an average rating of 8.0, while Starburst is ranked #13 with an average rating of 8.5. IBM holds a 3.5% mindshare in Data Science Platforms, compared to Starburst’s 1.6% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,695 Views
1,967 Comparison Views

86% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

1,561 Views
1,218 Comparison Views

100% willing to recommend

IBM SPSS Modeler

Starburst Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and Starburst Enterprise are both data solutions in the data processing and analytics domain. Starburst Enterprise appears to have a competitive edge due to its ability to manage large data volumes with speed and scalability, which is advantageous for enterprises with extensive data sets.

Features: IBM SPSS Modeler is renowned for its advanced statistical analysis tools, intuitive interface, and predictive analytics capabilities that simplify complex data analysis. Starburst Enterprise excels with its Presto-based architecture that efficiently queries and processes large-scale data across various sources without requiring data movement. The differentiation is clear: SPSS Modeler targets statistical and predictive tasks, whereas Starburst Enterprise is designed for big data querying and integration.

Ease of Deployment and Customer Service: IBM SPSS Modeler provides an easy setup process that integrates well with existing data systems, offering robust technical support for organizations needing detailed predictive analytics. Starburst Enterprise, while having a more extensive deployment due to its distributed architecture, compensates with high scalability and performance, supported by excellent service for enterprises requiring fast data processing solutions. This underscores the trade-off between deployment complexity and scalability.

Pricing and ROI: IBM SPSS Modeler generally has a higher upfront cost but delivers significant ROI for organizations focused on in-depth statistical analysis and predictive modeling. Starburst Enterprise offers flexible pricing for large-scale operations, often providing high ROI through effective querying capabilities and cost-effective scalability. This highlights IBM SPSS Modeler's strength in predictive analytics against Starburst Enterprise's efficiency in scalable data processing.

To learn more, read our detailed IBM SPSS Modeler vs. Starburst Enterprise Report (Updated: December 2025).

Buyer's Guide

IBM SPSS Modeler vs. Starburst Enterprise

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM SPSS Modeler

Ranking in Data Science Platforms

12th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Starburst Enterprise

Ranking in Data Science Platforms

13th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Streaming Analytics (16th)

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 3.5%, up from 2.3% compared to the previous year. The mindshare of Starburst Enterprise is 1.6%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	3.5%
Starburst Enterprise	1.6%
Other	94.9%

Data Science Platforms

Featured Reviews

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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KamleshPant

Senior Software Architect at USEReady

Connects to any data source from any region and offers unified access

There are no specific projects supported by Starburst regarding AI initiatives or machine learning projects. In the future, if we have all the data available, we can definitely capitalize on AI/ML and LLM capabilities to summarize data and gain insights. That's our future goal, but we haven't reached that point yet. There should be support for REST API data sources to access data from the web. We often have data coming in and communicate with data sources via REST API calls. I don't see that capability in Starburst currently; everything is through JDBC or ODBC. If Starburst could seamlessly access data using REST API capabilities, it would be a game-changer. The self-service data management features, like self-service materialized views, are great, but they can be a bit complex for basic users to understand.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The supervised models are valuable. It is also very organized and easy to use."

"It is a great product for running statistical analysis."

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

"We have been able to do some predictive modeling with it"

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

More IBM SPSS Modeler pros

"We have noticed improvements in performance using Starburst Enterprise. It handles complex data, including reading and partitioning files. We can add a new catalog to Starburst Enterprise by providing connection details and service account information. This allows us to integrate with existing tools, such as the Snowflake database, which we use for data protection in our project."

"It's very scalable, fast performing, and supports many catalogs."

Cons

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

"Requires more development."

"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."

"I can say the solution is outdated."

"Customer support is hard to contact."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"The challenge for the very technical data scientists: It is constraining for them."

"It is not integrated with Qlik, Tableau, and Power BI."

More IBM SPSS Modeler cons

"There should be support for REST API data sources to access data from the web."

"Starburst Enterprise could improve by offering additional features similar to those provided by other SQL query tools. For example, incorporating functionalities like pivot tables would make it more feasible to use."

Pricing and Cost Advice

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"It is a huge increase to time savings."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"It got us a good amount of money with quick and efficient modeling."

"This tool, being an IBM product, is pretty expensive."

"$5,000 annually."

More IBM SPSS Modeler pricing and cost advice

"I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of using Starburst Enterprise can vary based on the amount of data you're processing and the type of machines you opt for, whether on AWS or another cloud platform."

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Top Industries

By visitors reading reviews

Government

11%

Financial Services Firm

11%

University

Manufacturing Company

Financial Services Firm

37%

Computer Software Company

Government

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

No data available

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

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What needs improvement with IBM SPSS Modeler?

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What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

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What is your experience regarding pricing and costs for Starburst Enterprise?

I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of us...

See all answers

What needs improvement with Starburst Enterprise?

See all answers

What is your primary use case for Starburst Enterprise?

We use Starburst with one client who is exploring their ecosystem to remove data silos and enable data access across departments. It's a very big ecosystem, like a finance institute. They are curre...

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Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2026

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Buyer's Guide

Data Science Platforms

February 2026

Download Starburst Enterprise product report

Also Known As

SPSS Modeler

No data available

Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems.

By providing a unified view, Starburst Enterprise helps organizations make better-informed decisions and improve operational efficiency, leading to better customer insights and more accurate forecasting. Overall, Starburst Enterprise is a powerful tool for organizations looking to unlock the full potential of their data.

Starburst

Sample Customers

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Information Not Available

Buyer's Guide

IBM SPSS Modeler vs. Starburst Enterprise

December 2025

Free Report: IBM SPSS Modeler vs. Starburst Enterprise

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