SAS Enterprise Miner vs Starburst Galaxy comparison

SAS and Starburst are both solutions in the Data Science Platforms category. SAS is ranked #23, while Starburst is ranked #10 with an average rating of 9.8. SAS holds a 1.6% mindshare in Data Science Platforms, compared to Starburst’s 1.0% mindshare. Additionally, 93% of SAS users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,059 Views
805 Comparison Views

93% willing to recommend

Starburst Galaxy

Read 9 Starburst Galaxy reviews

789 Views
647 Comparison Views

100% willing to recommend

SAS Enterprise Miner

Starburst Galaxy

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between SAS Enterprise Miner 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 SAS Enterprise Miner vs. Starburst Galaxy Report (Updated: December 2025).

Buyer's Guide

SAS Enterprise Miner vs. Starburst Galaxy

December 2025

Download the complete report

Helped 881,114 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

SAS Enterprise Miner

Ranking in Data Science Platforms

23rd

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Starburst Galaxy

Ranking in Data Science Platforms

10th

Average Rating

9.8

Reviews Sentiment

1.0

Number of Reviews

Ranking in other categories

Streaming Analytics (13th)

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of SAS Enterprise Miner is 1.6%, up from 0.7% compared to the previous year. The mindshare of Starburst Galaxy is 1.0%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Starburst Galaxy	1.0%
SAS Enterprise Miner	1.6%
Other	97.4%

Data Science Platforms

Featured Reviews

reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

Read full review

reviewer2750097

VP, Business Intelligence at a outsourcing company with 501-1,000 employees

Unified data access improves analytics and simplifies complex processes

I would like to see better alerting integrations for failures and errors in scheduled tasks and maintenance jobs. I also want support for more connectors such as Kinesis and Firehose, support for more file types such as Avro and JSON, and object storage message queue integration for object storage integrations. A single view of query execution and optimization details, rather than needing to toggle between the Galaxy and Trino UI, would be helpful. Additionally, enhanced control over account and environment variables that would be available in the Enterprise edition would be beneficial.

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

"he solution is scalable."

"The most valuable feature is the decision tree creation."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"The technical support is very good."

"I like the way the product visually shows the data pipeline."

"Good data management and analytics."

"The solution is able to handle quite large amounts of data beautifully."

More SAS Enterprise Miner pros

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

"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."

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

"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."

"Starburst Galaxy has improved our organization by unifying access to all major data sources, reducing the need for complex ETL processes."

"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 Galaxy has improved our organization by unifying access to all major data sources, reducing the need for complex ETL processes."

"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."

More Starburst Galaxy pros

Cons

"The ease of use can be improved. When you are new it seems a bit complex."

"Virtualization could be much better."

"The solution is much more complex than other options."

"The visualization of the models is not very attractive, so the graphics should be improved."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"Technical support could be improved."

"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

"The user interface of the solution needs improvement. It needs to be more visual."

More SAS Enterprise Miner cons

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

"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."

"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."

"Cluster startup time can be slow, sometimes taking over a minute."

Pricing and Cost Advice

"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

"This solution is for large corporations because not everybody can afford it."

"The solution must improve its licensing models."

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

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

25%

Educational Organization

11%

Manufacturing Company

10%

University

Financial Services Firm

26%

Computer Software Company

14%

Government

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	1

Questions from the Community

Ask a question

Earn 20 points

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?

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. On the AWS side this ...

See all answers

What is your primary use case for Starburst Galaxy?

I use the solution for processing large simulation datasets into aggregated datasets that can either be used for real-time data analysis or stored for later analysis.

See all answers

Comparisons

KNIME Business Hub vs SAS Enterprise Miner

Compared 19% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 12% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 8% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 8% of the time

Databricks vs SAS Enterprise Miner

Compared 8% of the time

More SAS Enterprise Miner Competitors

Starburst Enterprise vs Starburst Galaxy

Compared 35% of the time

Databricks vs Starburst Galaxy

Compared 18% of the time

Dremio vs Starburst Galaxy

Compared 15% of the time

Qlik Talend Cloud vs Starburst Galaxy

Compared 10% of the time

Dataiku vs Starburst Galaxy

Compared 9% of the time

More Starburst Galaxy Competitors

Product Reports

Buyer's Guide

Data Mining

January 2026

Download SAS Enterprise Miner product report

Buyer's Guide

Starburst Galaxy

January 2026

Download Starburst Galaxy product report

Also Known As

Enterprise Miner

No data available

Overview

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

SAS

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

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Information Not Available

Buyer's Guide

SAS Enterprise Miner vs. Starburst Galaxy

December 2025

Free Report: SAS Enterprise Miner vs. Starburst Galaxy

Find out what your peers are saying about SAS Enterprise Miner vs. Starburst Galaxy and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,114 professionals have used our research since 2012.

See our SAS Enterprise Miner 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.