IBM Watson Studio on Cloud Pak for Data vs. Saturn Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Watson Studio
Score 8.0 out of 10
N/A
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
Saturn Cloud
Score 9.1 out of 10
N/A
Saturn Cloud is a cloud data science platform for individuals and teams. Saturn Cloud provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a completely hosted environment. Saturn Cloud is designed to be straightforward and simple to use for the new data scientist, while giving senior and experienced staff the capabilities and configurability they need. Because data…
$0
per month
Pricing
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Watson StudioSaturn Cloud
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
8.1
22 Ratings
4% below category average
Saturn Cloud
8.6
11 Ratings
2% above category average
Connect to Multiple Data Sources8.022 Ratings8.510 Ratings
Extend Existing Data Sources8.022 Ratings8.711 Ratings
Automatic Data Format Detection9.921 Ratings00 Ratings
MDM Integration6.414 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
10.0
22 Ratings
17% above category average
Saturn Cloud
8.7
13 Ratings
3% above category average
Visualization10.022 Ratings8.812 Ratings
Interactive Data Analysis10.022 Ratings8.713 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
14% above category average
Saturn Cloud
8.8
12 Ratings
7% above category average
Interactive Data Cleaning and Enrichment9.922 Ratings8.712 Ratings
Data Transformations10.021 Ratings00 Ratings
Data Encryption8.020 Ratings8.89 Ratings
Built-in Processors10.021 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
11% above category average
Saturn Cloud
8.8
13 Ratings
3% above category average
Multiple Model Development Languages and Tools10.021 Ratings8.912 Ratings
Automated Machine Learning9.922 Ratings8.710 Ratings
Single platform for multiple model development9.922 Ratings8.812 Ratings
Self-Service Model Delivery8.020 Ratings8.610 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
8.0
22 Ratings
7% below category average
Saturn Cloud
8.8
8 Ratings
3% above category average
Flexible Model Publishing Options9.022 Ratings8.96 Ratings
Security, Governance, and Cost Controls7.022 Ratings8.88 Ratings
Best Alternatives
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.3 out of 10
Mathematica
Mathematica
Score 8.3 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Likelihood to Recommend
8.0
(65 ratings)
9.0
(16 ratings)
Likelihood to Renew
8.2
(1 ratings)
-
(0 ratings)
Usability
9.6
(2 ratings)
-
(0 ratings)
Availability
8.2
(1 ratings)
-
(0 ratings)
Performance
8.2
(1 ratings)
-
(0 ratings)
Support Rating
8.2
(1 ratings)
-
(0 ratings)
In-Person Training
8.2
(1 ratings)
-
(0 ratings)
Online Training
8.2
(1 ratings)
-
(0 ratings)
Implementation Rating
7.3
(1 ratings)
-
(0 ratings)
Product Scalability
8.2
(1 ratings)
-
(0 ratings)
Vendor post-sale
7.3
(1 ratings)
-
(0 ratings)
Vendor pre-sale
8.2
(1 ratings)
-
(0 ratings)
User Testimonials
IBM Watson Studio on Cloud Pak for DataSaturn Cloud
Likelihood to Recommend
IBM
It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
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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
IBM
  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
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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
IBM
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
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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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Likelihood to Renew
IBM
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
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Saturn Cloud
No answers on this topic
Usability
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
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Saturn Cloud
No answers on this topic
Reliability and Availability
IBM
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
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Saturn Cloud
No answers on this topic
Performance
IBM
Never had slow response even on our very busy network
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Saturn Cloud
No answers on this topic
Support Rating
IBM
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
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Saturn Cloud
No answers on this topic
In-Person Training
IBM
The trainers on the job are very smart with solutions and very able in teaching
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Saturn Cloud
No answers on this topic
Online Training
IBM
The Platform is very handy and suggests further steps according my previous interests
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Saturn Cloud
No answers on this topic
Implementation Rating
IBM
It surprised us with unpredictable case of use and brand new points of view
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Saturn Cloud
No answers on this topic
Alternatives Considered
IBM
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
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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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Scalability
IBM
It helped us in getting from 0 to DSX without getting lost
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Saturn Cloud
No answers on this topic
Return on Investment
IBM
  • Could instantly show data driven insights to drive 20% incremental revenue over existing results
  • Still don't have a real use case for unstructured data like twitter feed
  • Some of the insights around user actions have driven new projects to automate mundane tasks
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Saturn Cloud
  • Faster experimentation and model iteration: Saturn Cloud's scalability and user-friendly interface can help organizations to reduce the time required to set up and run experiments, as well as to iterate on models more quickly. This can help to speed up the development cycle and get products to market more quickly.
  • Increased productivity and efficiency: Saturn Cloud's built-in tools and pre-built environments can help to streamline data science workflows and reduce the time required to set up and configure environments. This can help data scientists to focus on higher-value tasks and improve overall productivity.
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ScreenShots

Saturn Cloud Screenshots

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