Databricks vs Saturn Cloud comparison

Databricks and Saturn Cloud are both solutions in the Data Science Platforms category. Databricks is ranked #1 with an average rating of 8.3, while Saturn Cloud is ranked #17 with an average rating of 10.0. Databricks holds a 9.3% mindshare in Data Science Platforms, compared to Saturn Cloud’s 0.7% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Saturn Cloud users who would recommend it.

Databricks

Read 93 Databricks reviews

18,865 Views
8,112 Comparison Views

96% willing to recommend

Saturn Cloud

Read 6 Saturn Cloud reviews

914 Views
366 Comparison Views

100% willing to recommend

Databricks

Saturn Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Databricks and Saturn Cloud are both influential products in the data processing and machine learning sector. Databricks holds a competitive advantage in pricing and support, attracting those mindful of costs, whereas Saturn Cloud's functionality and scalability make it appealing to users seeking potent features.

Features: Databricks offers seamless data integration, collaborative workspaces, and robust cloud-based analytics capabilities, making it suitable for complex data analysis. Saturn Cloud emphasizes scalability, rapid environment deployment, and ease of use, catering to users requiring flexibility and fast setups.

Room for Improvement: Databricks could improve by simplifying its initial deployment complexity and reducing setup costs to enhance accessibility. Additionally, offering more intuitive user interfaces could benefit newer users. Saturn Cloud may enhance its support for integration with additional big data tools and could provide more comprehensive documentation to help new users understand the platform's full potential.

Ease of Deployment and Customer Service: Saturn Cloud is distinguished by its user-friendly setup and strong customer support, which simplify deployment for quick scalability. Databricks offers a comprehensive deployment model, although its initial setup can be complex, necessitating more oversight but ultimately providing significant long-term advantages.

Pricing and ROI: Databricks generally presents higher initial setup costs but ensures substantial ROI through comprehensive data processing and scalability. Saturn Cloud offers competitive pricing, making it attractive for budget-conscious organizations seeking cost-effective flexibility with strong ROI potential.

To learn more, read our detailed Databricks vs. Saturn Cloud Report (Updated: December 2025).

Buyer's Guide

Databricks vs. Saturn Cloud

December 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

Databricks

Ranking in Data Science Platforms

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)

Saturn Cloud

Ranking in Data Science Platforms

17th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of Databricks is 9.3%, down from 18.8% compared to the previous year. The mindshare of Saturn Cloud is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Databricks	9.3%
Saturn Cloud	0.7%
Other	90.0%

Data Science Platforms

Featured Reviews

Satyam Wagh

Consultant at Nice Software Solutions

Unified data workflows have cut ticket processing times and are driving faster business insights

Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.

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Alessandro Trinca Tornidor

Sviluppatore software at TeamSystem

Good for creating POCs, training machine learning models, and experimenting without local resources

The project I’m currently working on relies on CUDA, but my local PC does not have any Nvidia GPUs. I’ve found the computational resources and ease of use provided by Saturn Cloud invaluable. Also, there are many ready-to-use Docker images and a rich documentation portal with useful examples. The dashboard for creating a new virtual environment contains almost all the features I needed: environment variable definitions, git repositories cloning directly from the new resources page, and an edit field to define a custom script during the boot process. For this reason, Saturn Cloud.io is a very good solution for creating POCs, training machine learning models, and generally experimenting a bit without worrying about local resources.

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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

"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."

"The integration with Python and the notebooks really helps."

"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."

"Databricks' capability to process data in parallel enhances data processing speed."

"It helps integrate data science and machine learning capabilities."

"There are good features for turning off clusters."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

"I like cloud scalability and data access for any type of user."

More Databricks pros

"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."

"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."

"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."

"It offered an excellent development environment while not touching our production cloud resources."

"They provide a centralized space for data, code, and results."

"There is plenty of computational resources (both GPU, CPU and disk space)."

Cons

"The connectivity with various BI tools could be improved, specifically the performance and real time integration."

"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."

"This solution only supports queries in SQL and Python, which is a bit limiting."

"Databricks' technical support takes a while to respond and could be improved."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."

"It should have more compatible and more advanced visualization and machine learning libraries."

"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."

More Databricks cons

"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."

"We'd like to have the capability for installing more libraries."

"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."

"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."

"Public Clouds integration and sandbox environments would be a true game changer."

Pricing and Cost Advice

"The solution is affordable."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

"It is an expensive tool. The licensing model is a pay-as-you-go one."

"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

More Databricks pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

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What do you like most about Saturn Cloud?

There is plenty of computational resources (both GPU, CPU and disk space).

See all answers

What needs improvement with Saturn Cloud?

My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer. Users could bid on unused compute capacity, potentially leading ...

See all answers

What is your primary use case for Saturn Cloud?

I'm leveraging a cloud-based platform for competitive machine learning. Tight deadlines and resource-intensive models demand powerful hardware. The cloud provides scalable GPUs and RAM, letting me ...

See all answers

Comparisons

Dataiku vs Databricks

Compared 6% of the time

Microsoft Power BI vs Databricks

Compared 5% of the time

Dremio vs Databricks

Compared 4% of the time

Informatica PowerCenter vs Databricks

Compared 4% of the time

Alteryx vs Databricks

Compared 3% of the time

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Amazon SageMaker vs Saturn Cloud

Compared 19% of the time

H2O.ai vs Saturn Cloud

Compared 13% of the time

Amazon Comprehend vs Saturn Cloud

Compared 11% of the time

SAP Predictive Analytics vs Saturn Cloud

Compared 10% of the time

Domino Data Science Platform vs Saturn Cloud

Compared 9% of the time

More Saturn Cloud Competitors

Product Reports

Buyer's Guide

Databricks

January 2026

Download Databricks product report

Buyer's Guide

Saturn Cloud

January 2026

Download Saturn Cloud product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

Saturn Cloud

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.

Buyer's Guide

Databricks vs. Saturn Cloud

December 2025

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