TrustRadius

IBM Watson Studio on Cloud Pak for Data vs. Shakudo Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Watson Studio
Score 10.0 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
Shakudo Platform
Score 6.0 out of 10
N/A
The Shakudo platform ensures compatibility across data tools to allow companies to build the best data infrastructure for their needs. It supports over 60 popular data tools, and enables users to create the optimal data stack for any custom needs, and helps users to create a more reliable and performant stack. And it helps users to: Build a stack that works precisely for the company without worrying about maintenance costs or stability Using a single UI, let teams use and gain…N/A
Pricing
IBM Watson Studio on Cloud Pak for DataShakudo Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Watson StudioShakudo Platform
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
IBM Watson Studio on Cloud Pak for DataShakudo Platform
Features
IBM Watson Studio on Cloud Pak for DataShakudo Platform
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
3% below category average
Shakudo Platform
-
Ratings
Connect to Multiple Data Sources8.022 Ratings00 Ratings
Extend Existing Data Sources8.022 Ratings00 Ratings
Automatic Data Format Detection10.021 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
18% above category average
Shakudo Platform
-
Ratings
Visualization10.022 Ratings00 Ratings
Interactive Data Analysis10.022 Ratings00 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
15% above category average
Shakudo Platform
-
Ratings
Interactive Data Cleaning and Enrichment10.022 Ratings00 Ratings
Data Transformations10.021 Ratings00 Ratings
Data Encryption8.020 Ratings00 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
13% above category average
Shakudo Platform
-
Ratings
Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
Automated Machine Learning10.022 Ratings00 Ratings
Single platform for multiple model development10.022 Ratings00 Ratings
Self-Service Model Delivery8.020 Ratings00 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
6% below category average
Shakudo Platform
-
Ratings
Flexible Model Publishing Options9.022 Ratings00 Ratings
Security, Governance, and Cost Controls7.022 Ratings00 Ratings
Best Alternatives
IBM Watson Studio on Cloud Pak for DataShakudo Platform
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Watson Studio on Cloud Pak for DataShakudo Platform
Likelihood to Recommend
8.0
(65 ratings)
-
(0 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 DataShakudo Platform
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.
Verified User
Anonymous
Read full review
Shakudo
No answers on this topic
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.
Christopher Penn | TrustRadius Reviewer
Christopher Penn
Co-Founder and Chief Innovator
Read full review
Shakudo
No answers on this topic
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
Verified User
Anonymous
Read full review
Shakudo
No answers on this topic
Likelihood to Renew
IBM
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
No answers on this topic
Usability
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King | TrustRadius Reviewer
Isaiah King
Founding Member
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Shakudo
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
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
No answers on this topic
Performance
IBM
Never had slow response even on our very busy network
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
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
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
No answers on this topic
In-Person Training
IBM
The trainers on the job are very smart with solutions and very able in teaching
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
No answers on this topic
Online Training
IBM
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
No answers on this topic
Implementation Rating
IBM
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
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.
Verified User
Anonymous
Read full review
Shakudo
No answers on this topic
Scalability
IBM
It helped us in getting from 0 to DSX without getting lost
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Shakudo
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
Verified User
Anonymous
Read full review
Shakudo
No answers on this topic
ScreenShots

Shakudo Platform Screenshots

Screenshot of Shakudo Platform Dashboard UIScreenshot of Jobs use the same environment config as Sessions, so users can have the same dependencies and configurations available as they had during development. Jobs can be run on demand using Immediate jobs, or scheduled with a Cron expression using Scheduled Jobs. The integrated Job system can be used on its own, or it can be used to run code with tools like Airflow or Prefect.Screenshot of When deploying a project and publishing the results, Services help to deploy custom long-running programs like web servers to host results, or integrations can be used. From publishing processed data to S3 buckets, to hosting trained models on Nvidia Triton, to publishing dashboards in Apache Superset, it helps data scientists deploy their projects and their artifacts with minimal configuration or maintenance required