SAP Datasphere vs. SAP Predictive Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Datasphere
Score 8.5 out of 10
N/A
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…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
SAP DatasphereSAP Predictive Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP DatasphereSAP Predictive Analytics
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
More Pricing Information
Community Pulse
SAP DatasphereSAP Predictive Analytics
Top Pros
Top Cons
Best Alternatives
SAP DatasphereSAP Predictive Analytics
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP DatasphereSAP Predictive Analytics
Likelihood to Recommend
7.8
(94 ratings)
9.0
(3 ratings)
Usability
8.0
(37 ratings)
6.0
(1 ratings)
Support Rating
9.0
(23 ratings)
7.0
(1 ratings)
Contract Terms and Pricing Model
8.4
(9 ratings)
-
(0 ratings)
Professional Services
8.8
(4 ratings)
-
(0 ratings)
User Testimonials
SAP DatasphereSAP Predictive Analytics
Likelihood to Recommend
SAP
One of the best use cases for SAP data sphere is ecommerce and retail business where a lot of locations are constantly generating a lot of data and we need to make important business decisions based on that data. SAP data sphere can help wit integrating multiple data sources and help with analytics, data processing, modeling and making business predictions
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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
SAP
  • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
  • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
  • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
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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
SAP
  • Need to have a good understanding of the SAP ecosystem to implement and use it.
  • From a cost perspective it can be little bit on the expensive side for enterprises.
  • The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.
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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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Usability
SAP
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
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SAP
the UI is a bit dated and available as a desktop tool mostly.
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Support Rating
SAP
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
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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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Alternatives Considered
SAP
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
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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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Contract Terms and Pricing Model
SAP
Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
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SAP
No answers on this topic
Professional Services
SAP
Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
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SAP
No answers on this topic
Return on Investment
SAP
  • Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
  • Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
  • SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.
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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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