IBM Watson Studio on Cloud Pak for Data vs. SAP Predictive Analytics

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
SAP Predictive Analytics
Score 7.0 out of 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A
Pricing
IBM Watson Studio on Cloud Pak for DataSAP Predictive Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Watson StudioSAP Predictive Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
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 DataSAP Predictive Analytics
Top Pros
Top Cons
Features
IBM Watson Studio on Cloud Pak for DataSAP Predictive Analytics
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
SAP Predictive Analytics
-
Ratings
Connect to Multiple Data Sources8.022 Ratings00 Ratings
Extend Existing Data Sources8.022 Ratings00 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
SAP Predictive Analytics
-
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
14% above category average
SAP Predictive Analytics
-
Ratings
Interactive Data Cleaning and Enrichment9.922 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
11% above category average
SAP Predictive Analytics
-
Ratings
Multiple Model Development Languages and Tools9.921 Ratings00 Ratings
Automated Machine Learning9.922 Ratings00 Ratings
Single platform for multiple model development9.922 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
7% below category average
SAP Predictive Analytics
-
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 DataSAP Predictive Analytics
Small Businesses
IBM SPSS Modeler
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Score 7.8 out of 10
IBM SPSS Modeler
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.3 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
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Score 7.8 out of 10
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Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Watson Studio on Cloud Pak for DataSAP Predictive Analytics
Likelihood to Recommend
8.0
(65 ratings)
9.0
(3 ratings)
Likelihood to Renew
8.2
(1 ratings)
-
(0 ratings)
Usability
9.6
(2 ratings)
6.0
(1 ratings)
Availability
8.2
(1 ratings)
-
(0 ratings)
Performance
8.2
(1 ratings)
-
(0 ratings)
Support Rating
8.2
(1 ratings)
7.0
(1 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 DataSAP Predictive Analytics
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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SAP
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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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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SAP
  • It doesn't require you to have a Ph.D. to build models!
  • You can use it to address a very large and wide dataset without worrying about sampling.
  • Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
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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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SAP
  • Working with this software is very simple and enjoyable for me as [an] IT consultant and expert, but it is a bit complicated for novice users.
  • Some big data takes more time‌to load, which I think could be faster
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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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SAP
No answers on this topic
Usability
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
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SAP
the UI is a bit dated and available as a desktop tool mostly.
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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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SAP
No answers on this topic
Performance
IBM
Never had slow response even on our very busy network
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SAP
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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SAP
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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In-Person Training
IBM
The trainers on the job are very smart with solutions and very able in teaching
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SAP
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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SAP
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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SAP
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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SAP
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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Scalability
IBM
It helped us in getting from 0 to DSX without getting lost
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SAP
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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SAP
  • Proper forecasting increases our credibility with partners and customers
  • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
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ScreenShots