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Starburst Galaxy vs TIBCO Data Science comparison

 

Comparison Buyer's Guide

Executive Summary

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

Starburst Galaxy
Ranking in Data Science Platforms
13th
Average Rating
9.8
Reviews Sentiment
1.0
Number of Reviews
7
Ranking in other categories
Streaming Analytics (17th)
TIBCO Data Science
Ranking in Data Science Platforms
25th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of Starburst Galaxy is 0.8%, up from 0.8% compared to the previous year. The mindshare of TIBCO Data Science is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Stephen-Howard - PeerSpot reviewer
Federated querying delivers integrated data at record speed and reduces processing time
The biggest win has been the ability to combine data from multiple sources and deliver it to the business at record speed. This capability has allowed us to query directly through Starburst Galaxy, enabling teams to access integrated data that would otherwise be hard to pull together. This has reduced both our ETL processing time and storage costs. We are answering questions that would have been hard, if not impossible, to answer previously because the data came from disparate, disconnected sources.
VS
A straightforward initial setup and good reporting but needs better documentation
It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

Quotes from Members

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

Pros

"Starburst Galaxy serves as our primary SQL-based data processing engine, a strategic decision driven by its seamless integration with our AWS cloud infrastructure and its ability to deliver high performance with low-latency responses."
"Starburst Galaxy has improved our organization by unifying access to all major data sources, reducing the need for complex ETL processes."
"Starburst Galaxy has improved our organization by unifying access to all major data sources, reducing the need for complex ETL processes."
"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 is becoming a cornerstone of our data platform, empowering us to make smarter and faster decisions across the organization."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The most valuable feature is the ease of setting up visualizations."
"The most valuable feature is the performance."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
 

Cons

"The most persistent issue is the cluster spin-up time."
"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."
"The scripting for customization could be improved."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"I would like the visualization for the map of countries to be more easily configurable."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
report
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
15%
University
7%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Also Known As

No data available
Alpine Data Chorus
 

Overview

 

Sample Customers

Information Not Available
Havas Media, Tipping Point Community, eviCore
Find out what your peers are saying about Starburst Galaxy vs. TIBCO Data Science and other solutions. Updated: August 2025.
865,140 professionals have used our research since 2012.