Overview
What is SAP Datasphere?
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…
SAP Datasphere Review
SAP Datasphere is best
Our Journey with Datasphere in the last 2 years.
SAP Datasphere Review
SAP Datasphere simplifies the traditional bw activities
Pros and cons of SAP Datasphere
SAP Datasphere Needs to Be cheaper
Datasphere review
SAP Datasphere... 2 years after
Actual problem, is the …
Single source of truth
My SAP Datasphere experience
Single version of truth
Data trace problems
Complex environment
SAP Datasphere: Unlock data invaluable feature
All Around Okay for Inventory & Sales Reporting
Horizon on Data Landscape
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Reviewer Pros & Cons
Pricing
What is SAP Datasphere?
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…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
27 people also want pricing
Alternatives Pricing
What is Cyral?
Cyral is a cloud-native Security-as-Code solution to protect the modern data layer. It allows engineering teams to observe, secure, and manage data endpoints in a cloud via a sidecar.
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is SAP Datasphere?
SAP Datasphere Video
SAP Datasphere Competitors
SAP Datasphere Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Supported Countries | Global |
Supported Languages | Global |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(235)Attribute Ratings
Reviews
(1-25 of 93)SAP Datasphere ease of use
- user friendly
- Comprehensive Integration
- Real Time Data Stream
- data transfer to external systems
SAP Datasphere Review
- Connectivity
- Data modeling
- Security
- AI
- More SQL functionality available in low-code solution
- Data persistence
SAP Datasphere is best
- Dimensional modeling
- Graphical view
- Improvements in SLT
Our Journey with Datasphere in the last 2 years.
- Native connectivity.
- Data Federation.
- Flexible modeling.
- More ETL capabilities in Data Flow.
SAP Datasphere Review
- Centralize data
- Data Modelization
- Source for SAC product
SAP Datasphere simplifies the traditional bw activities
- simplifies
- costeffective
- more friendly ui
- time dependent hierarchy
Pros and cons of SAP Datasphere
- A lot of integration point
- Increase size
- Easy to implement
- Connecting with SAP Datasphere is not easy
- Network issues
SAP Datasphere Needs to Be cheaper
- User Friendly
- Easy Data Integration
- Connection to SAP is seamless
- BW migrations via BW Bridge seems to be convoluted and not straight forward
- Need a certification program
- More capabilities similar to BW4HANA
Datasphere review
- Data integration
- Data exposure to sac
- Complex calculations
- Embed non SAP data
SAP Datasphere... 2 years after
Actual problem, is the integeration in nonSAP tools. The consumtption for openSQL Connection is not that smart as for SAP Analytics Cloud. We want an bi-directional functionality for all interfaces. Neither its an SAP Product or not.
- development speed
- performance
- connection to BW
- sql modelling
- integration in non SAP tools
- differentiation between BW and DS
- suitable for data integration
- strong space concept
- not suitable for ai
- not suitable for complex datamodells
Single source of truth
- sales reporting combining SAP tables
- SAP and non-SAP environment integration
- integration among multiple SAP instances
- connection to 3rd party can be easier (tableau instead of SAP)
- ecc and S/4HANA integration at the same time should be easier
My SAP Datasphere experience
Single version of truth
Data trace problems
Complex environment
- Integration
- Easy to implement
- Easy to learn
- Price
- Handling huge volumes
- Data variety
Well supported by SAP
Future of data platform in SAP
SAP Datasphere: Unlock data invaluable feature
- semantic modeling
- data cataloging
- data virtualization
- built-in machine learning engine
- ease of use
- integration with other products
All Around Okay for Inventory & Sales Reporting
- Price adjustments
- inventory allocation
- sales reports
- ease of use
- could use a refreshed UX experience
- data doesn't always flow back to SAP as we would want it to from salesforce
Horizon on Data Landscape
- Integrates data from diverse sources; both on-premises or in the cloud
- Catalog both structured and unstructured data assets.
- Assess and improve data quality
- Provides tools for tracking data chain
- Improve the User Interface to make the software more intuitive.
- Improve the integration process with other products to boost overall value
- Increase their documentation and user guide
Data Analysis with SAP Datasphere
- Data from numerous sources, both locally and on the cloud, is simple to integrate.
- Simplified and detailed data visualization tools.
- simple and rapid development
- Integrate previously existing data models.
- High cost and maintainence
- There are no free services available, no free demo application use cases which makes the user not have an overview how efficient it is.
- Virtual servers are sometimes laggy and slow..
SAP Datasphere is good for large volumes of data; small datasets get the stuff overcomplicated.
Thinking about SAP Datasphere. Just go for it!
- Catalogs data across all our platforms into a single and centralised hub.
- Data Discovery, Data Governance and of course real time visualisation of data.
- Includes access controlled mechanism to monitor data reading privileges.
- 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.
SAP Dataspehere as a new tool for your team
- Visualisation
- Data cataloguing
- Integrated services
- Not intuitive to set up
- Not for novice users
- Not enough of visual choices
- Data not always verified properly
SAP Dataspehere - world of data from SAP
- Data visualization on SAC
- Keeping the core clean using SAP BTP
- API support
- Nothing as such. Tool needs maturity
- SAP Datasphere allows me to make informed decisions by automating data modeling, preparation and visualization.
- Furthermore, SAP Datasphere offered prebuilt content and pre-integrated services like datalake and databases.
- It simplify data landscape through business data fabric.
- It offered a free trial.
- Too bad, SAP vendor does offer free trial but seldom do they offer freemium version.
- Unavailability of mobile application and deficiency in documentation for features.
SAP Datasphere: Harmonize Heterogeneous Data into Semantic Model when Making Business Decisions
- Accelerated implementation by offering built-in services such as data lake and databases.
- Unify data across multi-cloud and on-premise sources.
- SAP Datasphere is allocates at a fair cost estimation compared to alternatives such as Amazon Redshift.
- Accelerate time to value by reusing semantical definitions automatically.
- Unfortunately, there’s no mobile application for SAP Datasphere.
- The vendor offers free trial, but doesn’t offer freemium version.
Are you ready for the Datasphere?
- Replication of SAP data
- Ability to integrate with non-ABAP systems
SAP Datasphere Usage
- Reusable views
- Performance improvement
- Easy connectivity to backed end data
- Magnificent with data virtualization through data modeling.
- The efficiency with automation of repetitive tasks.
- Terrific with a collection of data from different sources, which makes business decisions simple.
- It requires skilled personnel with IT to use.
- Magnificent with data collection from various sources which makes decision making easy.
- Terrific with the elimination of data duplication for ensuring the integrity of our data.
Warehouse to all the relevant capabilities
- Data Integration
- Real time data
- Data lookup
- More seamless cloud integration
- More visual analytics
- Tackling more complex data