Dataiku vs Starburst Galaxy comparison

Why PeerSpot?

Dataiku and Starburst are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.3, while Starburst is ranked #7 with an average rating of 9.3. Dataiku holds a 4.4% mindshare in Data Science Platforms, compared to Starburst’s 1.5% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Dataiku

Read 21 Dataiku reviews

7,894 Views
7,736 Comparison Views

100% willing to recommend

Starburst Galaxy

Read 12 Starburst Galaxy reviews

2,464 Views
1,873 Comparison Views

100% willing to recommend

Dataiku

Starburst Galaxy

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Dataiku 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 Dataiku vs. Starburst Galaxy Report (Updated: September 2026).

Buyer's Guide

Dataiku vs. Starburst Galaxy

September 2026

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Helped 920,929 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

Dataiku

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Dataiku is 4.4%, down from 10.5% 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 (%)
Dataiku	4.4%
Starburst Galaxy	1.5%
Other	94.1%

Data Science Platforms

Featured Reviews

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly

In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.

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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.

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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

"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."

"I rate the overall product as eight out of ten."

"Dataiku has positively impacted my organization, specifically in one project where we performed migration from AWS to Dataiku, speeding up the solution by close to 40% and reducing architecture costs by almost 70%, which was a significant benefit and greatly impacted our operations."

"I like the interface, which is probably my favorite part of the solution; it is really user-friendly, colorful, and I think it is really beautiful and well-designed."

"Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."

"The best features Dataiku offers include the ability for users to use the node without having to code and the functionality related to low-code/no-code."

"Data Science Studio's data science model is very useful."

"I believe the return on investment looks positive."

More Dataiku pros

"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."

"Starburst Galaxy has positively impacted my organization by allowing us to rethink the strategy for data and architect data differently; instead of having multiple data marts and siloed data marts, we have a unified vision, and that is how it is changing."

"Starburst Galaxy is becoming a cornerstone of our data platform, empowering us to make smarter and faster decisions across the organization."

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

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

"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."

"<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>"

"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."

More Starburst Galaxy pros

Cons

"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code."

"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

"Dataiku is down a lot of times, and we have to wait for sometimes five, ten, or fifteen minutes, after which it gets working again, and during those times, we are unable to get our work done."

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

"Dataiku's scalability is not one of the best solutions to scale."

"We still encounter some integration issues."

"Maybe on the interface in general, the information can easily get lost."

More Dataiku cons

"I think there are areas of improvement with respect to AI adaptability, and also in general, the amount of connectors working with other tools are areas where it can be expanded."

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

"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 can be slow, sometimes taking over a minute."

"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."

"<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>"

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

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

More Starburst Galaxy cons

Pricing and Cost Advice

"Pricing is pretty steep. Dataiku is also not that cheap."

"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

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	6
Midsize Enterprise	2
Large Enterprise	13

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 Dataiku Data Science Studio?

The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my personal projects, I used the thirty-day free trial. Regarding my company, I did not ha...

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What needs improvement with Dataiku Data Science Studio?

I have no suggestions for improvements because it's all good; it just sometimes lags a lot, and I don't know if the server is full or what, but it sometimes takes a lot of time while loading and re...

See all answers

What is your primary use case for Dataiku Data Science Studio?

My main use case for Dataiku involves ETL pipelines, mainly for data analysis, and I majorly use SQL queries for that. For ETL pipelines and data analysis, I had to create the output by combining a...

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

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Product Reports

Buyer's Guide

Dataiku

November 2026

Download Dataiku product report

Buyer's Guide

Starburst Galaxy

October 2026

Download Starburst Galaxy product report

Also Known As

Dataiku DSS

No data available

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Dataiku

Starburst Galaxy enhances data management with fast querying, flexible data integration, and efficient cost handling, offering seamless connectivity to numerous data platforms and formats.

Starburst Galaxy stands out for its exceptional query speed and flexibility, offering effective federated querying and cluster management. It facilitates connection to multiple data warehouses and supports writing to varied formats. The intuitive interface simplifies navigation and administration while segmenting expenses for better cost management. Users can efficiently perform query federation across data systems and the compatibility with AWS Glue ensures quick onboarding. Its SQL-friendly architecture, object storage, and indexing capabilities make it highly valued.

What are the key features of Starburst Galaxy?

Federated Querying: Efficiently performs cross-database queries connecting multiple data sources like Amazon S3 and Google Sheets.
Cluster Management: Simplifies the administration and optimization of clusters, enhancing operational efficiency.
Data Integration: Supports numerous data warehouses, promoting seamless data integration and real-time analysis.
Compatibility with AWS: Offers improved user experience with quick onboarding and seamless integration services.
Object Storage: Provides robust data storage and management capabilities with effective indexing.

What benefits or ROI should users look for?

Cost Efficiency: Effectively manages expenses by segmenting costs, optimizing resource allocation.
Data Accessibility: Facilitates easy and flexible access to large datasets for analysis and reporting.
Scalability: Supports expansion and scaling to handle growing datasets and increased data sources.
Enhanced Analytics: Integrates with analytics tools like Tableau and Power BI for comprehensive insights.

Starburst Galaxy is widely used in sectors that require extensive data analysis like finance, health, and retail. It efficiently supports connecting and analyzing data from varied sources, allowing companies to perform real-time analysis and comprehensive reporting, thereby enhancing decision-making processes.

Starburst

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

Information Not Available

Buyer's Guide

Dataiku vs. Starburst Galaxy

September 2026

Free Report: Dataiku vs. Starburst Galaxy

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