You need to sign in or sign up before continuing.

IBM SPSS Statistics vs Starburst Galaxy comparison

IBM and Starburst are both solutions in the Data Science Platforms category. IBM is ranked #10 with an average rating of 8.8, while Starburst is ranked #7 with an average rating of 9.3. IBM holds a 3.3% mindshare in Data Science Platforms, compared to Starburst’s 1.5% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

IBM SPSS Statistics

Read 41 IBM SPSS Statistics reviews

7,780 Views
4,746 Comparison Views

89% willing to recommend

Starburst Galaxy

Read 12 Starburst Galaxy reviews

2,464 Views
1,873 Comparison Views

100% willing to recommend

IBM SPSS Statistics

Starburst Galaxy

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between IBM SPSS Statistics and Starburst Galaxy based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM SPSS Statistics vs. Starburst Galaxy Report (Updated: September 2026).

Buyer's Guide

IBM SPSS Statistics vs. Starburst Galaxy

September 2026

Download the complete report

Helped 920,769 peers since 2012

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 Statistics

Ranking in Data Science Platforms

10th

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (2nd), AI Data Analysis (23rd), AI Research (8th)

Starburst Galaxy

Ranking in Data Science Platforms

7th

Average Rating

9.4

Reviews Sentiment

2.6

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 3.3%, down from 4.4% compared to the previous year. The mindshare of Starburst Galaxy is 1.5%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Starburst Galaxy	1.5%
IBM SPSS Statistics	3.3%
Other	95.2%

Data Science Platforms

Featured Reviews

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

Read full review

Pedromachado Ventura

Data Analyst at a financial services firm with 5,001-10,000 employees

Unified SQL layer has streamlined access to distributed historical data for analytics and reporting

One area that I think could be improved is the experience when performance issues occur. When a query is slow, it is not always immediately obvious to me whether the bottleneck comes from Starburst Galaxy itself, the underlying data source, the query design, or the reporting tool. Better visibility into query performance and easier diagnostics for non-administrators would be useful. Another potential improvement would be enhancing the experience with BI tools to make it more seamless. I work a lot with Power BI, and when you are working with larger data sets, performance can sometimes depend on several different layers. Having more visibility into what is happening between the BI tool, Starburst Galaxy, and the underlying source would be helpful. I also think onboarding could be a little more accessible for analysts. There is good technical documentation, but sometimes I just need to understand the best way to approach a common use case without diving too deep into the platform architecture. The main improvement would be troubleshooting. I have not used the AI capabilities extensively, so I cannot give a detailed assessment. I am not sure if my organization has the full capabilities of Starburst Galaxy, but I think adding AI on top of the data layer is interesting, especially if it can help users discover data, understand data sets, and interact with them more naturally. For governance and security, one of the strengths of Starburst Galaxy is that you can centralize access to data while still controlling what different users are allowed to see. Role-based access, fine-grained permissions, and data masking are important because giving people easier access to data should not mean giving everyone access to everything. I think that is even more important than any AI capabilities that are introduced. If you do introduce AI, I think it should respect exactly the same data permissions and governance rules as the user that is accessing the data.

Read full review

Quotes from Members

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

Pros

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."

"We have seen enormous ROI."

"The SPSS interface is very accessible and user-friendly; it's really easy to get information in it, and I've shared it with experts and beginners, and everyone can navigate it."

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."

"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

More IBM SPSS Statistics pros

"I am now able to answer questions in a couple of minutes that would otherwise take hours or days of time for my data engineering teams."

"The most fundamental feature is the query engine, which is much faster than any of the competitors; Starburst is able to finish most queries within 10 seconds, which is especially important for many non-technical employees."

"The main positive impact Starburst Galaxy has made is making data more accessible for analytics and reporting."

"Starburst Galaxy has significantly improved our data architecture flexibility and performance management by solving cross-database query challenges and enabling us to utilize iceberg tables externally across our entire data ecosystem."

"Starburst on Trino, combined with our SQL-native data transformation tool SQLMesh, has delivered anywhere from a two to five times improvement in compute performance across our transformation DAG."

"I use Starburst as a cost-efficient hosted option for Trino for data integration and ad-hoc analysis across a broad range of data sources."

"Starburst has provided us with virtually guaranteed performance on complex queries across datasets that are in the tens of gigabytes which complete in seconds."

"<p>Starburst Galaxy serves the best purpose for me because if my SLAs are not met with my customers, they will raise a case, and I have tried many other tools, but Starburst Galaxy fits the best.</p>"

More Starburst Galaxy pros

Cons

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"The technical support should be improved."

"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."

"It could allow adding color to data models to make them easier to interpret."

"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

"Another issue is that it does not handle very large data sets well. When there are 100,000 respondents, it does not manage effectively and crashes more often when the data set becomes very large or while merging yearly waves such as 2018, 2019, 2020 to 2026."

"The reports could be better."

"Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use."

More IBM SPSS Statistics cons

"Cluster startup time is another pain point, typically 3 to 5 minutes, which is not the worst with proper planning but can be annoying for ad-hoc work."

"As a hosted option, I wish I had more control over the cluster configuration, specifically regarding some of the more advanced options."

"The most persistent issue is the cluster spin-up time."

"There is still room for improved usability and diagnostics, especially for users who are not platform specialists."

"I would like to see better alerting integrations for failures and errors in scheduled tasks and maintenance jobs."

"I would like Starburst to leverage AI to improve usability. Data lakes are complicated and difficult for users to explore."

"Multi-tenancy could be improved. In order to have multiple environments for SSO, we maintain multiple tenants that are connected to different AWS accounts via the Marketplace."

"<p>Starburst Galaxy can be improved by discovering unstructured data and building in streaming ingestion because we are currently using Kafka for that purpose.</p>"

More Starburst Galaxy cons

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."

"More affordable training for new staff members."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

"The price of IBM SPSS Statistics could improve."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"The price of this solution is a little bit high, which was a problem for my company."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

More IBM SPSS Statistics pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

University

Outsourcing Company

Financial Services Firm

29%

Computer Software Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	7
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	4

Questions from the Community

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

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

See all answers

What needs improvement with IBM SPSS Statistics?

One of the frustrations I have with IBM SPSS Statistics is the licensing, which is more of a company issue because we have limited licenses and have to ask someone to get off IBM SPSS Statistics so...

See all answers

What is your primary use case for IBM SPSS Statistics?

My main use case for IBM SPSS Statistics involves data cleaning and tabulation. I also use it sometimes for data validation. I use IBM SPSS Statistics to perform correlations, check data, remove re...

See all answers

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

I recommend experimenting with different cluster sizes to determine what works best for your particular use case.

See all answers

What needs improvement with Starburst Galaxy?

See all answers

What is your primary use case for Starburst Galaxy?

I have mainly used Starburst Galaxy as a query and access layer for analytical data, as my current work involves dealing with data stored across different platforms, including Hive and SingleStore....

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 11% of the time

Databricks vs IBM SPSS Statistics

Compared 7% of the time

Alteryx One vs IBM SPSS Statistics

Compared 5% of the time

Altair RapidMiner vs IBM SPSS Statistics

Compared 5% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

More IBM SPSS Statistics Competitors

Starburst Enterprise vs Starburst Galaxy

Compared 19% of the time

Databricks vs Starburst Galaxy

Compared 10% of the time

Dremio vs Starburst Galaxy

Compared 6% of the time

Qlik Talend Cloud vs Starburst Galaxy

Compared 6% of the time

IBM SPSS Modeler vs Starburst Galaxy

Compared 4% of the time

More Starburst Galaxy Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

October 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Starburst Galaxy

October 2026

Download Starburst Galaxy product report

Also Known As

SPSS Statistics

No data available

Overview

IBM SPSS Statistics is renowned for its intuitive interface and robust statistical capabilities. It efficiently handles large datasets, making it essential for data analysis, quantitative research, and business decision-making.

IBM SPSS Statistics offers extensive functionality supporting both beginners and experts. It is used for data analysis across industries, accommodating advanced statistical modeling such as regression, clustering, ANOVA, and decision trees. Users benefit from its quick model building and ease of use, which are indispensable in data exploration and decision-making. Room for improvement includes charting, visualization, data preparation, AI integration, automation, multivariate analysis, and unstructured data handling. Enhancements in importing/exporting features, cost efficiency, interface improvements, and user-friendly documentation are sought after by users looking for alignment with modern data science practices.

What are IBM SPSS Statistics' most notable features?

Intuitive Interface: Simplifies navigation for both beginners and experts.
Predictive Analytics: Advanced modeling capabilities for future trends.
Robust Statistical Functions: Includes regression, clustering, ANOVA, and decision trees.
Large Dataset Handling: Efficiently manages complex and sizable data.
Customizable Tables: Users can create tailored reports and exports.

What benefits and ROI do users report in reviews?

Ease of Use: Streamlined processes for rapid analysis.
Advanced Functionality: Comprehensive tools for diverse research needs.
Quick Model Building: Speeds up predictive and statistical analysis.
Versatile Application: Suitable for academic, business, and social science research.

IBM SPSS Statistics is implemented broadly, including academic research for in-depth studies, business analytics for informed decision making, and in the social sciences for comprehensive data exploration. Organizations utilize its advanced features like AI integration and automated modeling across sectors to gain actionable insights, streamline data processes, and support research initiatives.

IBM

Starburst Galaxy offers rapid query speeds and robust cluster management, enhancing data engineering efficiency while supporting AWS integrations and cross-database functionality. Users benefit from its advanced data integration and federated querying capabilities.

Starburst Galaxy stands out with a compute-focused architecture that excels in facilitating seamless data integration. Technological innovations like autoscaling clusters and automated metadata management optimize operations in multi-tenant environments. With a keen emphasis on compatibility, the platform provides support for AWS Glue and enables federated querying across S3, Snowflake, and Redshift. This adaptability ensures comprehensive ETL processes and enhances analytics through querying SQL Server, Google Sheets, and blob stores. While noted for its robust capabilities, users seek improvements in cluster startup times, Tableau and AI support, and desire infrastructure-as-code enhancements.

What are Starburst Galaxy's key features?

Rapid Query Speeds: Enhances data processing with quick responses.
Cluster Autoscaling: Optimizes resource allocation for varying workloads.
Federated Querying: Cross-database functionality for seamless integration.
Compute-Focused Architecture: Ensures efficiency and scalability.
Automated Metadata Management: Streamlines data handling processes.
AWS Integration: Broad compatibility with AWS services.

What benefits should users evaluate in reviews?

Data Engineering Efficiency: Reduces operating expenses and improves productivity.
Cost Reduction: Highlights lower storage costs with efficient data handling.
Seamless Integration: Enables robust data integration across various platforms.
Cluster Management: Supports diverse workloads with advanced management tools.

In industries focusing on large-scale data efforts, Starburst Galaxy plays an essential role in connecting data sources like Amazon S3 and RDS, streamlining tasks in data engineering and ad-hoc analysis across complex environments. Teams leverage its cross-database querying to boost AWS analytics, with features tailored for sectors needing agile data solutions, from ETL pipelines to secure data federation.

Starburst

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

Information Not Available

Buyer's Guide

IBM SPSS Statistics vs. Starburst Galaxy

September 2026

Free Report: IBM SPSS Statistics vs. Starburst Galaxy

Find out what your peers are saying about IBM SPSS Statistics vs. Starburst Galaxy and other solutions. Updated: September 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

See our IBM SPSS Statistics vs. Starburst Galaxy report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.