Dataiku vs Starburst Galaxy comparison

Dataiku and Starburst are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while Starburst is ranked #9 with an average rating of 9.7. Dataiku holds a 12.3% mindshare in Data Science Platforms, compared to Starburst’s 0.8% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

Dataiku

Read 12 Dataiku reviews

6,079 Views
5,897 Comparison Views

100% willing to recommend

Starburst Galaxy

Read 7 Starburst Galaxy reviews

591 Views
520 Comparison Views

100% willing to recommend

Dataiku

Starburst Galaxy

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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: August 2025).

Buyer's Guide

Dataiku vs. Starburst Galaxy

August 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

Dataiku

Ranking in Data Science Platforms

6th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Galaxy

Ranking in Data Science Platforms

9th

Average Rating

9.8

Reviews Sentiment

1.0

Number of Reviews

Ranking in other categories

Streaming Analytics (12th)

Mindshare comparison

As of September 2025, in the Data Science Platforms category, the mindshare of Dataiku is 12.3%, up from 10.3% compared to the previous year. The mindshare of Starburst Galaxy is 0.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Dataiku	12.3%
Starburst Galaxy	0.8%
Other	86.9%

Data Science Platforms

Featured Reviews

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The platform organizes workflows visually and efficiently

One of the valuable features of Dataiku is the workflow capability. It allows us to organize a workflow efficiently. The platform has a visual interface, making it much easier for educated professionals to organize their work. This feature is useful because it simplifies tasks and eliminates the need for a data scientist. If you are knowledgeable about AI, you can directly write using primitive tools like Pantera flow, PyTorch, and Scikit-learn. However, Dataiku makes this process much easier.

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Stephen-Howard

Sr Director, Technology at Spreetail

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.

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

"Cloud-based process run helps in not keeping the systems on while processes are running."

"The solution is quite stable."

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

"One of the valuable features of Dataiku is the workflow capability."

"If many teams are collaborating and sharing Jupyter notebooks, it's very useful."

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

"Our clients can easily drag and drop components and use them on the spot."

"The most valuable feature is the set of visual data preparation tools."

More Dataiku 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 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."

"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."

Cons

"I think it would help if Data Science Studio added some more features and improved the data model."

"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

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

"We still encounter some integration issues."

"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. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

"The license is very expensive."

"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."

More Dataiku cons

"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."

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

Pricing and Cost Advice

"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."

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

30%

Computer Software Company

15%

Consumer Goods Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	7

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

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.

See all answers

What needs improvement with Dataiku Data Science Studio?

There is room for improvement in terms of allowing for more code-based features. I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend ...

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

My company sells licenses for both Dataiku and Alteryx, and we have clients who use them. I engage with several companies in telecommunications, retail, and energy to assess how our clients are uti...

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

You pay for cluster uptime. It is important to be aggressive about autoscaling, as a single worker will get you a long way. I recommend never connecting a BI tool to your Galaxy cluster. Instead, w...

See all answers

What needs improvement with Starburst Galaxy?

As a hosted option, I wish I had more control over the cluster configuration, specifically regarding some of the more advanced options. Trino is extremely flexible and powerful, but some of this fu...

See all answers

What is your primary use case for Starburst Galaxy?

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. It is surprisingly useful to query SQL Server, a Google Sh...

See all answers

Comparisons

Databricks vs Dataiku

Compared 27% of the time

KNIME Business Hub vs Dataiku

Compared 20% of the time

Alteryx vs Dataiku

Compared 12% of the time

Altair RapidMiner vs Dataiku

Compared 10% of the time

Starburst Enterprise vs Dataiku

Compared 1% of the time

More Dataiku Competitors

Starburst Enterprise vs Starburst Galaxy

Compared 44% of the time

Databricks vs Starburst Galaxy

Compared 27% of the time

Dremio vs Starburst Galaxy

Compared 17% of the time

More Starburst Galaxy Competitors

Product Reports

Buyer's Guide

Dataiku

September 2025

Download Dataiku product report

Buyer's Guide

Starburst Galaxy

August 2025

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 offers advanced analytics solutions tailored for big data environments. It is renowned for its scalability and flexibility, enabling data-driven decisions.

Starburst Galaxy provides an efficient platform for conducting complex data analysis across multiple datasets. Its architecture facilitates seamless integration with existing data infrastructure, allowing organizations to harness the value of their data efficiently. Users appreciate its ability to perform intricate queries without the need for extensive data movement, fostering a more agile approach to data management and analysis.

What features make Starburst Galaxy unique?

Advanced Query Engine: Optimizes data processing to handle complex analytics efficiently.
Scalability: Easily adapts to growing data needs without compromising performance.
Integration Capabilities: Seamlessly connects with existing data systems for streamlined operations.

What benefits and ROI should users look for?

Cost Efficiency: Reduces storage and compute costs by optimizing queries and minimizing data movement.
Improved Decision-Making: Empowers users with quick access to critical insights for strategic planning.
Enhanced Performance: Delivers faster query responses, boosting productivity and time-to-value.

Starburst Galaxy is instrumental in industries such as finance, healthcare, and e-commerce, where large-scale data analysis is crucial. Organizations in these fields implement its features to accelerate data processing and gain a competitive advantage, turning vast amounts of information into actionable insights that drive industry-specific innovations.

Starburst

Sample Customers

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

Information Not Available

Buyer's Guide

Dataiku vs. Starburst Galaxy

August 2025

Free Report: Dataiku vs. Starburst Galaxy

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