Dataiku vs. Saturn Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.3 out of 10
N/A
The Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
Saturn Cloud
Score 8.4 out of 10
N/A
Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment. Saturn Cloud is presented as flexible and straightforward for new data scientists while giving senior and experienced staff the capabilities and configurability they need.…
$10
hourly $5 credit purchase to start
Pricing
DataikuSaturn Cloud
Editions & Modules
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Business
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Enterprise
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Offerings
Pricing Offerings
DataikuSaturn Cloud
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataikuSaturn Cloud
Top Pros

No answers on this topic

Top Cons

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Features
DataikuSaturn Cloud
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
9% above category average
Saturn Cloud
8.0
16 Ratings
4% below category average
Connect to Multiple Data Sources10.04 Ratings7.915 Ratings
Extend Existing Data Sources10.04 Ratings8.114 Ratings
Automatic Data Format Detection10.04 Ratings00 Ratings
MDM Integration6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
4 Ratings
18% above category average
Saturn Cloud
8.2
17 Ratings
2% below category average
Visualization9.94 Ratings8.316 Ratings
Interactive Data Analysis10.04 Ratings8.217 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
4 Ratings
20% above category average
Saturn Cloud
7.9
17 Ratings
3% below category average
Interactive Data Cleaning and Enrichment10.04 Ratings8.316 Ratings
Data Transformations10.04 Ratings00 Ratings
Data Encryption10.04 Ratings7.513 Ratings
Built-in Processors10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
4 Ratings
3% above category average
Saturn Cloud
7.9
18 Ratings
6% below category average
Multiple Model Development Languages and Tools5.14 Ratings7.917 Ratings
Automated Machine Learning10.04 Ratings8.014 Ratings
Single platform for multiple model development10.04 Ratings8.017 Ratings
Self-Service Model Delivery10.04 Ratings7.814 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
4 Ratings
5% above category average
Saturn Cloud
8.1
12 Ratings
5% below category average
Flexible Model Publishing Options9.04 Ratings7.610 Ratings
Security, Governance, and Cost Controls9.04 Ratings8.511 Ratings
Best Alternatives
DataikuSaturn Cloud
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Medium-sized Companies
Posit
Posit
Score 9.8 out of 10
Posit
Posit
Score 9.8 out of 10
Enterprises
Posit
Posit
Score 9.8 out of 10
Posit
Posit
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataikuSaturn Cloud
Likelihood to Recommend
10.0
(4 ratings)
8.1
(21 ratings)
Usability
10.0
(1 ratings)
7.8
(5 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
User Testimonials
DataikuSaturn Cloud
Likelihood to Recommend
Dataiku
Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
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Saturn Cloud
Saturn Cloud is a powerful data science platform that offers numerous benefits to organizations. It simplifies and streamlines the development, deployment, and scaling of data science and machine learning models. The platform addresses common business problems such as scalability, collaboration, efficiency, and cost-effectiveness. With Saturn Cloud, organizations can easily handle large datasets and complex computations, collaborate effectively among data science teams, automate repetitive tasks, optimize workflows, and utilize flexible and cost-efficient cloud resources. By leveraging Saturn Cloud, organizations can accelerate their data science projects, improve productivity, and achieve better outcomes in areas such as predictive modeling, recommendation systems, fraud detection, and more.
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Pros
Dataiku
  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
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Saturn Cloud
  • Parallel Computing: Saturn Cloud helps us do multiple tasks at the same time, making our work faster and more efficient.
  • Easy Scalability: Saturn Cloud lets us adjust our computer power depending on our project's needs, without any hassle.
  • GPU Support: Saturn Cloud helps us work better with powerful machines, especially when we need them for complex tasks.
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Cons
Dataiku
  • End product deployment.
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Saturn Cloud
  • While Saturn Cloud offers a range of pre-built templates and workflows, there is currently limited support for customization. For example, users may not be able to modify the pre-configured environments that come with the templates, or may find it difficult to integrate their own custom libraries and tools. Offering more flexibility in this area could help users tailor the platform to their specific needs and workflows.
  • While Saturn Cloud offers a variety of pre-built environments for data science and machine learning workloads, some users may prefer to use custom Docker images instead. However, the platform currently has limited support for Docker, which can be a limitation for users who need to work with specific dependencies or custom libraries. Adding more robust support for Docker could help to make the platform more versatile and adaptable to a wider range of use cases.
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Usability
Dataiku
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
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Saturn Cloud
This is user friendly , better than its counterparts. Anyone familiar working with other cloud solutions for GPU will agree on this. Hence the rating of 10 was given to this. I personally love the fact that I get so much compute time for being a free user which is very efficient in terms of budget
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Support Rating
Dataiku
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
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Saturn Cloud
No answers on this topic
Alternatives Considered
Dataiku
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
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Saturn Cloud
Saturn Cloud provides an R server, that's super important. Even you can write R on CoLab with different settings, but it is inconvenient and slow. Saturn Cloud can give me a different IDE environment that I'm more used to, even if I'm using Python. Whereas CoLab is more dedicated to Jupyter notebook
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Return on Investment
Dataiku
  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
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Saturn Cloud
  • Although we are still in the implementation phase with Saturn Cloud, we anticipate significant positive impacts on our business objectives.
  • The platform is expected to enhance our computational capabilities with its easy access to top-tier NVIDIA GPUs, which should accelerate our AI and machine learning projects. We believe this will lead to reduced development times and faster deployment of our generative AI models.
  • While Saturn Cloud provides excellent computational resources and reliable uptime, I find that their user interface could be improved. The UI can be unintuitive at times, making it a bit challenging to navigate and configure certain settings. Enhancing the user interface to be more streamlined and user-friendly would significantly improve the overall experience. Having pre-configured stacks readily available would also save time and make the platform even more efficient to use.
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ScreenShots

Saturn Cloud Screenshots

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