TrustRadius Insights for SAP Datasphere are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Comprehensive Integration Capabilities: Reviewers highlight the system's robust integration features that enable seamless real-time data stream connectivity and sophisticated data modeling, ensuring efficient operations.
Security Features: The platform's advanced security measures, such as native connectivity, data federation, and adaptable modeling options, instill confidence among users regarding their data protection.
Dimensional Modeling and Graphical View Functionalities: The dimensional modeling tools coupled with graphical views are instrumental in centralizing data effectively and facilitating clear model visualization for users.
Simplified Processes: Users commend the platform for streamlining complex processes, leading to cost savings through enhanced efficiency and a more intuitive user experience.
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SAP Datasphere Reviews
28 Reviews
Mid-sized Companies (51-1,000 employees)
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We used SAP Datasphere to integrate data from various sources as we had on-premises data servers, cloud applications and IoT devices. This tool allowed us to present the data to non-technical people blatantly and improve the business processes, make better decisions and identify the lacking features in our current application. Overall, SAP Datasphere is a versatile and powerful tool that can help organizations to get more value from their data.
Pros
semantic modeling
data cataloging
data virtualization
Cons
built-in machine learning engine
ease of use
integration with other products
Likelihood to Recommend
We have been working on ecommerce company and we have several data servers and point-of-sale systems. We wanted to collect and integrate all this data to create a unified view of its customers, orders and inventory. And we also desired to use this data to power its BI dashboards and reports. Additionally, we wanted to predict the futuristic demand for the goods. Hence, we utilized SAP Datasphere for data catalogue and data governance policies; and created semantic models of the data, then we created the Power BI dashboards and reports to share the insight of data.
We use SAP as the inventory, and pricing database for all products globally at out company. I personally use it for web pricing and inventory, however the retail team can also separate things by retail, and warehouse. So we can have separate pricing for retail stores and web store.
Pros
Price adjustments
inventory allocation
sales reports
Cons
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
Likelihood to Recommend
SAP is best suited for large global corporations. It is a very complex software and is difficult to come by individuals who have sufficient enough knowledge to master the product. Globally our company only has 1 person to support us in IT for SAP. It is great if you use a more complex web host such as SFCC as you can make connections to SAP for returns, inventory, price updates, etc.
SAP helps me integrate, visualize and process data effectively and efficiently. Data retrieval and analysis using SAP is much easier and more robust comparatively. Also, it is easy to connect and join data at elsewhere and integrate them and/or remove the redundancies more smoothly. The cloud linkage and workflow are the best suite.
Pros
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.
Cons
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..
Likelihood to Recommend
SAP is quite good at combining data from several sources. It has the ability to connect to a range of databases, cloud services, and on-premises systems. Before transferring data to other systems for analytics or reporting, we can utilize it to transform and clean the data. SAP Datasphere is good for large volumes of data; small datasets get the stuff overcomplicated.
With SAP Datasphere, I am able to reduce manual data modeling, integration and visualization procedures through automation.
Pros
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.
Cons
Unfortunately, there’s no mobile application for SAP Datasphere.
The vendor offers free trial, but doesn’t offer freemium version.
Likelihood to Recommend
Based on my experience, SAP Datasphere best suit all business scenarios that encompass data. It has enabled me to automatically integrate, model and visualize data in real-time.
Effectiveness with getting insights for data collected from different sources. Elegant and robustness with data visualization for apps on the cloud. Tantalizing with ETL data virtualization.
Pros
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.
Cons
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.
Likelihood to Recommend
Excellent at ensuring data integrity by eliminating duplications. Built-in AI capabilities help with model evaluation and automating repetitive tasks.
Big Data and Metadata management across the entire organization is made easy by SAP Data Warehouse Cloud's capabilities. Easy to integrate and pull large volumes of data from multiple sources both on-premises and in the Cloud, and easily perform a friendly self-service analytics to make accurate, real-time informed business decision.
Pros
Easy to integrates data from multiple sources, both on-premises and in the Cloud.
Saves time with self-service analytical tools.
Easy to visualize data without coding.
Cons
Integrating and collecting data from non-SAP products its not easy.
Expensive product and with no free trial.
It will be superb with the availability of mobile application.
Likelihood to Recommend
SAP Data Warehouse Cloud has great integration capability to collect data from multiple sources and provide accurate data for analytics. Easy to use and quick to perform self-service analytics and make informed data-driven business decision, and also it provides excellent visibility to big data from a central place and easy to understand business data.
SAP Data Warehouse Cloud is our all-around provider for logistics and data management project implementation. It allows us to identify and address key stressors in our data architecture.
Pros
Easy to understand view of analytics
Proactive data manipulation
Cons
Better cohesive integration with other SAP Cloud areas
Additional machine learning and AI capabilities
Likelihood to Recommend
SAP Data Warehouse Cloud is perfect for analyzing our data from the ground up. It provides a unique view of how our business processes keep our key initiatives on track for quarterly reviews and auditing.
VU
Verified User
Manager in Information Technology (51-200 employees)
It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse. It has excellent and good self-service. It accelerates time to value in real-time. The state art data platform is very easy and simple to use
Pros
It has good and excellent self service
The use of state art data platform is very easy and simple
It is very easy and quick to develop
Cons
It is very costly
Likelihood to Recommend
It has excellent and good self-service. It is very easy and quick to develop. The state art of data is very simple and easy. It reuses existing BW models, customization, and transformations. It analyses all sorts of data. It is very simple to implement due to the built-in data lake.
