IBM Watson Studio on Cloud Pak for Data vs. SAP HANA Cloud

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
SAP HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Pricing
IBM Watson Studio on Cloud Pak for DataSAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Watson StudioSAP HANA Cloud
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
IBM Watson Studio on Cloud Pak for DataSAP HANA Cloud
Features
IBM Watson Studio on Cloud Pak for DataSAP HANA 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
3% below category average
SAP HANA Cloud
-
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
17% above category average
SAP HANA Cloud
-
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
SAP HANA Cloud
-
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
12% above category average
SAP HANA Cloud
-
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
SAP HANA Cloud
-
Ratings
Flexible Model Publishing Options9.022 Ratings00 Ratings
Security, Governance, and Cost Controls7.022 Ratings00 Ratings
Relational Databases
Comparison of Relational Databases features of Product A and Product B
IBM Watson Studio on Cloud Pak for Data
-
Ratings
SAP HANA Cloud
8.1
15 Ratings
1% above category average
ACID compliance00 Ratings8.414 Ratings
Database monitoring00 Ratings8.115 Ratings
Database locking00 Ratings8.112 Ratings
Encryption00 Ratings8.012 Ratings
Disaster recovery00 Ratings7.914 Ratings
Flexible deployment00 Ratings8.213 Ratings
Multiple datatypes00 Ratings8.013 Ratings
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User Ratings
IBM Watson Studio on Cloud Pak for DataSAP HANA Cloud
Likelihood to Recommend
8.0
(65 ratings)
9.6
(308 ratings)
Likelihood to Renew
8.2
(1 ratings)
10.0
(11 ratings)
Usability
9.6
(2 ratings)
9.6
(29 ratings)
Availability
8.2
(1 ratings)
3.6
(1 ratings)
Performance
8.2
(1 ratings)
3.6
(1 ratings)
Support Rating
8.2
(1 ratings)
9.1
(251 ratings)
In-Person Training
8.2
(1 ratings)
-
(0 ratings)
Online Training
8.2
(1 ratings)
-
(0 ratings)
Implementation Rating
7.3
(1 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
3.6
(1 ratings)
Ease of integration
-
(0 ratings)
4.5
(1 ratings)
Product Scalability
8.2
(1 ratings)
4.5
(1 ratings)
Vendor post-sale
7.3
(1 ratings)
4.5
(1 ratings)
Vendor pre-sale
8.2
(1 ratings)
3.6
(1 ratings)
User Testimonials
IBM Watson Studio on Cloud Pak for DataSAP HANA 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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SAP
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
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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
  • Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
  • Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
  • Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
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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
Read full review
SAP
  • Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
  • Lack of clarity on licensing is one major challenge
  • Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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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
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
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Usability
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
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SAP
It is a very useful cloud database platform which provides you faster data processing, scalability , global availability and advanced analytical capabilities. It offers integrated environment for enterprise applications which helps you to manage multiple systems easily. For end user, it provides a simplified user experience with direct navigation and personalization
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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
so far, we didn't get any outage
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Performance
IBM
Never had slow response even on our very busy network
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SAP
so far good
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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
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
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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
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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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
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
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Contract Terms and Pricing Model
IBM
No answers on this topic
SAP
I don't have visibility in licensing
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Scalability
IBM
It helped us in getting from 0 to DSX without getting lost
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SAP
Limitation of training deliverable by organization
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Professional Services
IBM
No answers on this topic
SAP
We are still in process for the first applciaiton
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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
  • ROI has always been high in terms of the functionality that it offers and the security features it comes with.
  • Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.
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