--- title: SAP Datasphere Reviews meta_title: 'SAP Datasphere Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 170 reviews by the users' company size, role or industry to find out how SAP Datasphere works for a business like yours. aggregate_rating: rating_value: 4.2 review_count: 170 scale: '5' date_modified: '2026-08-12' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # SAP Datasphere Reviews **Vendor:** SAP **Category:** [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) **Average Rating:** 4.2/5.0 **Total Reviews:** 170 ## About SAP Datasphere SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere, and its open data ecosystem, is the foundation for a business data fabric. ## SAP Datasphere Pros & Cons **What users like:** - Users find SAP Datasphere's **ease of use** greatly enhances their productivity compared to other services. (43 reviews) - Users appreciate the **easy integrations** of SAP Datasphere, enabling seamless data access and enhanced analytics capabilities. (33 reviews) - Users value the **unified data management** capabilities of SAP Datasphere, enhancing data access and analytics efficiency. (29 reviews) - Users value the **intuitive analytics capabilities** of SAP Datasphere, simplifying data integration and enhancing insights generation. (22 reviews) - Users value the **seamless collaboration** SAP Datasphere offers, enhancing integration and data accessibility across SAP products. (21 reviews) - Users value the **seamless integration capabilities** of SAP Datasphere, enhancing data access across various sources effortlessly. (20 reviews) - Features (18 reviews) - Integrations (18 reviews) - Users value the **strong integration capabilities** of SAP Datasphere, streamlining data management across diverse sources seamlessly. (17 reviews) - User Interface (17 reviews) **What users dislike:** - Users are frustrated with the **slow performance** of SAP Datasphere, especially when handling large datasets and complex tasks. (25 reviews) - Users note the **expensive pricing** of SAP Datasphere, which can be a significant drawback for new users. (23 reviews) - Users often face **performance issues** with SAP Datasphere, particularly with speed and large dataset handling. (23 reviews) - Users face **integration issues** with SAP Datasphere, requiring middleware solutions and causing performance challenges, especially for beginners. (19 reviews) - Users find the **complex setup** of SAP Datasphere frustrating due to vague error messages and steep learning curve. (17 reviews) - Users find the **complexity of generating data models** in SAP Datasphere can be overwhelming, especially for newcomers. (16 reviews) - Users struggle with the **complexity issues** of SAP Datasphere, finding it challenging to generate insights and reports. (15 reviews) - Users face a **steep learning curve** with SAP Datasphere, particularly those unfamiliar with SAP’s ecosystem. (14 reviews) - Difficult Setup (13 reviews) - Not User-Friendly (10 reviews) ## SAP Datasphere Reviews ### 1. Centralized Platform with Room for UI Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Luís F. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 17, 2026 **What do you like best about SAP Datasphere?** I like SAP Datasphere's ability to unify data from multiple sources into a single, trusted layer while preserving business context. It simplifies data modeling, improves governance, and makes it much faster to deliver reliable insights. Its seamless integration with both SAP and non-SAP systems is especially valuable for building scalable and flexible analytics solutions. **What do you dislike about SAP Datasphere?** It has a steep learning curve, and performance can vary with complex models and large datasets. The user interface and documentation could also be more intuitive and easier to use. A more intuitive interface with clearer navigation and fewer steps for common tasks would help. For documentation, more practical examples, step-by-step guides, and better troubleshooting resources would make it easier to use. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere as a centralized platform to integrate and manage data. It solves data fragmentation by unifying data into a consistent layer, improves data quality and governance, reduces manual preparation, and speeds up access to reliable insights for decision-making. ### 2. Real-Time Data Integration with a Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Omar B. | CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** February 06, 2026 **What do you like best about SAP Datasphere?** I like using SAP Datasphere to integrate, process, and analyze data from multiple sources in real-time. It provides real-time insights that improve decision-making and project efficiency. I appreciate how the real-time processing and reliable data delivery allow me to access and analyze up-to-date data as soon as it's available, helping me make faster and more informed decisions. This also reduces errors and delays that used to happen with manual data handling, making my workflows much smoother and more efficient. Additionally, I found the setup was easy, which was a big plus. **What do you dislike about SAP Datasphere?** Advanced configuration is limited and the learning curve is steep. More flexible config for complex pipelines and better tutorials for advanced workflows would help. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to integrate, process, and analyze data from multiple sources in real-time. It allows real-time insights, improving decision-making and project efficiency. ### 3. Robust Multi-Tenant QA and Semantic Layer, But UI Latency and Error Clarity Need Work **Rating:** 4.5/5.0 stars **Reviewed by:** Ravindra N. | SDET - 2, Oil & Energy, Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about SAP Datasphere?** Spaces = clean isolation. I can spin a sandbox space per branch, wire connections, and run pipeline tests without stepping on prod models. It’s the right level of multi-tenant for QA. Semantic layer with teeth. Business entities/measures live in one place (dimensions, associations, units/currencies). We write “contract tests” against the model, not brittle SQL, if someone drops a KPI or changes a type, CI fails loudly. Virtualize first, replicate when needed. Being able to federate queries to S/4HANA/BW or stage extracts into HANA Cloud keeps performance decent while avoiding data sprawl. Our tests cover both paths using the same artifacts. Decent lineage & impact analysis. When a column rename lands upstream, lineage shows which views/calculations break. I can link an impact report to a failing test and the owner knows exactly where to patch. Transportable configs. Moving artifacts from dev -> test -> prod is predictable; we version transports next to our test code, so rollbacks are boring. BW Bridge for the real world. Legacy BW content doesn’t block us; we can validate migrated models side-by-side with new ones until parity tests pass. Tight with SAC. For UAT, we point a SAC story at the test space and stakeholders validate numbers without bespoke extracts. **What do you dislike about SAP Datasphere?** UI latency at scale. Big models make the modeling UI feel heavy; complex Data Flows are sluggish to edit. Error messages are terse. Federation/privilege errors often read like riddles, you end up checking remote system logs to learn what actually failed. Transform limits. Graphical transforms cover 80%; the last 20% still needs SQLScript or external prep. Transport gotchas. Dependency ordering can bite, miss one shared artifact and your pipeline deploy looks “green” but doesn’t run. **What problems is SAP Datasphere solving and how is that benefiting you?** A single source of truth we can gate on. With the semantic layer, our CI asserts KPI contracts (types, units, grain, filters) before merges. Fewer “finance says numbers moved” surprises after releases. End-to-end data tests without glue. Spaces + connections let us seed data, execute Data Flows, and validate downstream views using the same APIs. We test live federation and staged extracts using one harness. Faster incident triage. Lineage + query logs cut MTTR, when a supplier feed changed a date format, impact analysis pointed to the three broken views in minutes. Lower flake from shared environments. Branch-scoped spaces killed cross-team collisions; nightly runs are stable because each pipeline has its own artifacts and credentials. Smoother modernization. BW Bridge lets us migrate incrementally; parity tests keep legacy and new models aligned until we switch consumers over with confidence. ### 4. Organized Data Management Made Easy **Rating:** 3.5/5.0 stars **Reviewed by:** priyesh k. | Residential Business Planner, Mid-Market (51-1000 emp.) **Reviewed Date:** February 26, 2026 **What do you like best about SAP Datasphere?** I really like the ease of usage with SAP Datasphere. Coming from a different field, it was really easy and handy to pick up, especially with the support from my colleagues. The transfer of knowledge in terms of this software is quite smooth, and I can easily learn from others. I also appreciate how we can save interfaces or views that we've built, which makes learning and usage more straightforward. **What do you dislike about SAP Datasphere?** I think sometimes when we have very, very large lists, scrolling down and selecting the right stuff is pretty hard. But then, there's a source dump interface which came in handy. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to organize large data sets of customer details, making it easier to select relevant information in the right order. ### 5. Very friendly Software **Rating:** 4.5/5.0 stars **Reviewed by:** Alaa K. | Team Leader – Repair Operations & Technical Excellence, Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2025 **What do you like best about SAP Datasphere?** Easy to use no need for prior specific education! Thanks for the SAP provideers and for my company to choose SAP. In addition, SAP Datasphere is a unified, cloud-based data service built on the SAP Business Technology Platform (BTP) that provides a comprehensive business data fabric for data integration, cataloging, semantic modeling, data warehousing, and virtualization across SAP and non-SAP data sources. **What do you dislike about SAP Datasphere?** Dislikes about SAP Datasphere include high costs and lack of scalability for small businesses, performance issues with large datasets, complex integration with non-SAP tools, a steep learning curve, intricate data modeling and setup processes, and frequent, sometimes disruptive UI changes. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves data silos, complex integration, and data governance challenges by providing a unified cloud-native platform for data integration, management, and analysis from diverse sources. It benefits organizations by creating a central, trustworthy data basis for faster, data-driven decisions, supporting self-service analytics, and enabling innovation through a scalable and secure data architecture ### 6. Powerful Data Integration with Room for Smoother Usability **Rating:** 4.5/5.0 stars **Reviewed by:** Oscar W. | Research Assistant **Reviewed Date:** February 16, 2026 **What do you like best about SAP Datasphere?** I appreciate SAP Datasphere for balancing technical flexibility with enterprise governance, which is especially important for our work. I like that it preserves SAP business semantics when integrating with systems like SAP S/4HANA. The data virtualization capabilities are great for accessing certain datasets while keeping sensitive clinical data protected. I also value the cloud scalability, which is beneficial when new grants come in. **What do you dislike about SAP Datasphere?** The learning curve is steep - it could be more simplified and there could be improved performance for mixed workloads. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere integrates disparate data sources and governs sensitive healthcare data effectively. It offers role-based access controls, balances technical flexibility with governance, and supports cloud scalability. Data virtualization protects clinical data and aligns with SAP business semantics. ### 7. Trusted SAP & Non-SAP Data Integration That Keeps Business Logic Intact **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** February 27, 2026 **What do you like best about SAP Datasphere?** I like that SAP Datasphere keeps the business meaning of SAP data when you bring it into your models. This makes the work easier because you do not need to rebuild logic that already exists in the source systems. I also like that you can join SAP data with non SAP data in one place. The visual modeling helps both technical and business users work together. It feels like a modern and trusted layer for analytics. **What do you dislike about SAP Datasphere?** I dislike that some features still feel slow or not fully mature. Complex modeling can require many steps, and performance is not always consistent with large data sets. The user interface can also feel confusing at times for new users. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the problem of bringing data from many systems into one trusted place. It keeps the business meaning of SAP data so I do not need to rebuild logic. It also makes it easier to combine SAP and non SAP data for reporting. This saves time, reduces manual work and gives faster and more reliable insights. ### 8. Effortless Automation and Seamless Integration with Datasphere **Rating:** 5.0/5.0 stars **Reviewed by:** Sree K. | Software Development Engineer in Test III, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2025 **What do you like best about SAP Datasphere?** What I appreciate most is the ease of integration. Since I work with automation frameworks such as Python and Jenkins, I need tools that can interact seamlessly with my scripts, and Datasphere does this very effectively through its CLI. I don't have to manually navigate the UI to deploy changes or set up a test space. I simply run a command and it's taken care of. This also contributes to the ease of implementation. Moving a new data model from development to a QA environment is straightforward because we can automate the entire upload process. It saves us a significant amount of time. I use Datasphere constantly, pretty much every time a developer commits code, and it manages the frequent updates without any issues. Honestly, what I value most is being able to skip the manual steps and manage the infrastructure as code. **What do you dislike about SAP Datasphere?** Honestly, the documentation for specific CLI commands can sometimes be a bit sparse. For example, when I encounter an unusual edge case while scripting a deployment, it often takes considerable effort to track down the exact flag I need. Additionally, when automation fails, the error messages returned by the CLI are often vague. Sometimes, it simply reports 'failed' without specifying which part of the JSON model was incorrect, which means I end up spending extra time debugging or combing through logs. Once everything is set up, it works very well, but troubleshooting during the setup phase can be frustrating. **What problems is SAP Datasphere solving and how is that benefiting you?** The main challenge this tool addresses for us is the manual effort and risk involved in validating data models. Whenever a developer updates a complex view, such as our profitability model, there is a significant risk of breaking calculations or mappings. Manually checking these changes is not only slow but also highly error prone. With this tool, I benefit from fully automated regression testing. By scripting deployments with the CLI, I can immediately run my Python tests against the updated model. This process helps catch issues like incorrect gross margin sums before they reach production. Ultimately, it saves me hours of manual work and gives us greater confidence in the accuracy of our data. ### 9. Seamless Data Integration and Governance with SAP Datasphere **Rating:** 4.0/5.0 stars **Reviewed by:** Shabarinath R. | Senior Product Security Specialist, Telecommunications, Enterprise (> 1000 emp.) **Reviewed Date:** November 15, 2025 **What do you like best about SAP Datasphere?** What I like best about SAP Datasphere is how seamlessly it brings together data from SAP and non-SAP systems into a single, well-governed semantic layer. The unified modeling experience, strong business context, and built-in governance make it much easier to maintain trustworthy data across complex landscapes. Its ability to virtualize data without heavy replication also saves time, reduces overhead, and keeps data fresh. Overall, Datasphere lets teams get to insights faster with far less integration effort. **What do you dislike about SAP Datasphere?** While SAP Datasphere is powerful, a few areas still need improvement. The performance can slow down when working with large virtualized datasets, and some advanced features require additional configuration or licensing, which increases complexity. The UI, though improved, can feel less intuitive for complex modeling tasks. Integration with certain non-SAP sources also requires extra setup, and debugging data flows isn’t always straightforward. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere is helping us solve the challenge of fragmented data across multiple systems. Instead of managing separate data silos in SAP and non-SAP applications, we now have a unified data layer that allows consistent modeling, governance, and sharing. The semantic modeling capabilities preserve business context, reducing rework and improving data quality for analytics. It also simplifies data access through virtualization, which means we can analyze real-time data without heavy ETL jobs. This has reduced our data preparation time, improved reporting accuracy, and accelerated how quickly business teams can make decisions. Overall, it provides a more scalable and governed foundation for enterprise analytics. ### 10. Powerful Data Integration with Minor Usability Hiccups **Rating:** 4.5/5.0 stars **Reviewed by:** Giovanni M. **Reviewed Date:** November 11, 2025 **What do you like best about SAP Datasphere?** I appreciate the seamless integration SAP Datasphere offers with both SAP and non-SAP sources, which keeps the data context intact. The strong data modeling and semantic capabilities make it easy to build reliable analytical layers. Additionally, I value the real-time data access, which enhances collaboration between business and IT teams, allowing everyone to use the same trusted data without duplication or complex transfers. The data modeling layer and data federation features are particularly valuable because they enable us to combine data from multiple systems without moving it, saving time and maintaining data consistency across the organization. The transition from SAP Data Warehouse Cloud to SAP Datasphere has been beneficial, providing us with more advanced data integration, better governance features, and improved flexibility for managing complex data landscapes. The initial setup was generally smooth, especially for SAP integrations, and the guided setup, along with the available documentation, made the process manageable. **What do you dislike about SAP Datasphere?** Some configurations can be a bit complex, especially when setting up permissions and roles. Performance could also improve when handling very large or highly complex data models. Better documentation and examples would help new users get started faster. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to integrate and manage enterprise data, solving fragmented data issues. It unifies data for analytics, ensures consistency, and enhances collaboration between business and IT, while offering real-time access and strong data modeling capabilities. ### 11. Decision Making with real time data **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep P. | Business Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about SAP Datasphere?** Good and intuitive UI interaction with real-time data access and comprehensive data management functions. Integrates data from multiple sources for ease of dashboarding and enhanced data quality. **What do you dislike about SAP Datasphere?** Costs are pretty high for users. Shows less responsiveness and has performance latency issues. It is slow especially with large datasets. Third party integration is also a big challenge. **What problems is SAP Datasphere solving and how is that benefiting you?** It can collect and create a single virtual source of data from multiple other platforms ( on prem, third party and cloud). The ETL processes are well managed and provide simplified analytics landscape. ### 12. User-Friendly Experience with No Dislikes So Far **Rating:** 5.0/5.0 stars **Reviewed by:** Mehwish F. | Student assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about SAP Datasphere?** This tool is very user-friendly and truly amazing, making it accessible to anyone without the need for training or documentation. You can set up your workflows easily and without any complications. If you ever encounter any difficulties, the support team is responsive and helpful. I regularly use datasphere for both my company and personal needs. **What do you dislike about SAP Datasphere?** So far, there isn't anything I dislike. While there is room for improvement in terms of functionality and available options, it works well for beginners. However, if you try to implement more advanced logic, you might encounter strange errors, issues with caching, and longer rendering times. **What problems is SAP Datasphere solving and how is that benefiting you?** The platform offers a unified data landscape, providing a single logical view that brings together both SAP and non-SAP data sources. This enables faster insights by allowing real-time access to information, eliminating the delays typically caused by data replication. Data governance is also enhanced, with centralized control, comprehensive lineage tracking, and improved compliance measures. The solution preserves SAP context through seamless integration with SAP data models and semantics, ensuring consistency and reliability. Business users are empowered with intuitive tools that make data exploration and sharing straightforward. Additionally, the total cost of ownership is reduced thanks to minimized replication, lower maintenance needs, and decreased infrastructure overhead. ### 13. A user-friendly and powerful data management solution with room for simpler setup **Rating:** 4.0/5.0 stars **Reviewed by:** pulkit m. | Monitoring And Evaluation Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** October 14, 2025 **What do you like best about SAP Datasphere?** I think SAP Datasphere is very user-friendly compared to other enterprise data management tools. The interface is intuitive, and it allows seamless integration with different data sources. I particularly like how it combines data modeling, governance, and analytics capabilities within a single environment, making it easier to connect business users and technical teams. Its compatibility with SAP and non-SAP systems also adds great flexibility for organizations managing complex data landscapes. **What do you dislike about SAP Datasphere?** While SAP Datasphere is powerful, its initial setup and configuration can be quite complex for new users. The documentation could be more detailed, especially when it comes to advanced integrations. Additionally, performance can sometimes slow down when handling very large datasets, and pricing may be on the higher side for smaller organizations. A more streamlined onboarding experience and better customer support responsiveness would make it even more efficient. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere helps consolidate data from multiple systems into a unified and trusted environment. It eliminates data silos by integrating SAP and non-SAP sources, which enables more accurate and timely reporting across departments. The platform supports advanced data modeling, lineage tracking, and transformation features, allowing teams to make better business decisions based on consistent, real-time data. It has significantly improved efficiency by reducing manual data preparation and enhancing collaboration between business and technical users. ### 14. Experience reviewing SAP Datasphere for data integration and analytics. **Rating:** 4.0/5.0 stars **Reviewed by:** Tadas A. | Kayak Renting, Mid-Market (51-1000 emp.) **Reviewed Date:** September 24, 2025 **What do you like best about SAP Datasphere?** What I like best about SAP Datasphere is its seamless integration with core SAP applications combined with the ability to preserve business semantics and context in data models. This makes it much easier to create trustworthy, business-ready data products that can be used consistently across analytics and planning solutions. In addition, I value the flexibility to connect SAP and non-SAP data sources in one governed environment, enabling a holistic view of enterprise data without losing performance or control. **What do you dislike about SAP Datasphere?** What I dislike about SAP Datasphere is that it can feel complex and resource-intensive to set up, especially when integrating large volumes of non-SAP data. Some features are still maturing, and performance can vary depending on the data source. In addition, the cost model may become challenging as usage scales, which requires careful planning. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the challenge of bringing together data from SAP and non-SAP sources while preserving the business context. Instead of spending time rebuilding SAP semantics or duplicating data into separate warehouses, I can work with trusted, business-ready data directly in one environment. This reduces complexity, accelerates analytics and reporting, and ensures that business users have consistent and reliable insights for decision-making. ### 15. Good for mostly SAP-based companies, but still maturing **Rating:** 4.0/5.0 stars **Reviewed by:** Samandar B. | Data analyst and engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 22, 2025 **What do you like best about SAP Datasphere?** Best about SAP Datasphere. I like that it connect very smooth with SAP systems. I worked only once with this product, one of our clients using S/4HANA, and Datasphere made it easier to bring sales and finance data together without building so many ETL flows. Also the business layer is helpful, because we can show data in more “business words” not only technical. Most helpful about SAP Datasphere For me the most helpful thing is we can centralize SAP + other data in one place. In BigMoney Analytics, which is our small company that works with automation analytics of small and medium businesses, we don’t need to spend too much time building custom pipelines, because Datasphere already handle part of it. That save us time and help us deliver Power BI dashboards quicker to clients. Upsides of using SAP Datasphere Easy to connect to SAP sources, less headache. Business friendly modeling, not only for IT guys. Combine ERP operations with finance reporting. Faster time to deliver analytics, which our client like a lot. **What do you dislike about SAP Datasphere?** I only worked with SAP Datasphere one time, in a project for one of our clients. From this limited experience, the main thing I didn’t like was the performance when data stay virtualized. For bigger tables the queries was slow, and finally we needed to replicate part of the data which made the setup more heavy. Also the licensing and cost is not so clear, it looks like it can get expensive fast when you scale. Since it was just one project, maybe I didn’t explore everything, but I also felt non-SAP integrations are not so strong, we had to do extra work to connect other systems. It looks powerful, but at this stage I think the product is still maturing and missing some advanced functions compared to older SAP tools **What problems is SAP Datasphere solving and how is that benefiting you?** As I told above that I only used SAP Datasphere in one project with a client, but even from this limited case it was clear what kind of business problems it can solve. The main issue for the client was that their sales and finance data was inside SAP ERP, while some operational and external data was outside SAP in other systems. They wanted to combine everything into one reporting view, but before they did it mostly manual with Excel which was slow and error-prone. Using Datasphere we was able to connect directly to SAP data and also bring in some external data, then model it in a way that management could see the same KPIs across departments. This reduced confusion between sales and finance teams, and it also saved time for reporting. For us at BigMoney Analytics, the value was we could build Power BI dashboards faster and provide a more trusted version of the numbers for decision making. ### 16. A Smart Platform That Simplifies Data Management Across the Enterprise **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** November 06, 2025 **What do you like best about SAP Datasphere?** What I value most about SAP Datasphere is its ability to unify data from various sources in a consistent and transparent manner. The interface is both clean and intuitive, making it easy to navigate. Once you become familiar with the platform, creating data models or establishing connections is quite straightforward. The range of features available is impressive, particularly when it comes to data modeling, federation, and governance. I regularly use SAP Datasphere to prepare data for analytics and reporting projects, and I appreciate how seamlessly it integrates with SAP Analytics Cloud. SAP Datasphere simplifies the management of complex data environments, reducing the time required for manual preparation and enhancing the value of insights delivered to the business. **What do you dislike about SAP Datasphere?** One aspect of SAP Datasphere that I find less satisfying is its initial complexity for users accustomed to more traditional data warehouse systems. While the interface is modern, some features require a fair amount of patience to use effectively. For example, I had to spend additional time managing permissions and roles across different spaces within a large project. Performance can also be an issue, particularly when handling very large datasets or when multiple users are active simultaneously. Although the documentation has improved, it would still benefit from more comprehensive guidance for troubleshooting specific scenarios. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere helps me tackle one of the biggest challenges in data projects: bringing together and managing data from multiple systems while maintaining consistency and traceability. As a BTP consultant, I frequently handle scenarios where data needs to move smoothly between SAP and non-SAP sources, and Datasphere significantly simplifies this task. Its strong integration capabilities and robust data governance features save me considerable time and help minimize errors. I rely on it and consistently enhances project delivery. Overall, SAP Datasphere transforms fragmented data into valuable insights, making analytics projects more efficient and scalable. ### 17. Easy to Use with a Sleek UI Quick to Navigate **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Small-Business (50 or fewer emp.) **Reviewed Date:** February 24, 2026 **What do you like best about SAP Datasphere?** i like the easy user interface. it’s quite sleek and can find everything i want. i also like the low-latency of the system. i don’t have to wait for the data to appear. **What do you dislike about SAP Datasphere?** i don’t like the lack of support within SAP Datasphere. Sometimes, when i can’t find what i want on the platform, i don’t really have any helpful solutions for finding things. **What problems is SAP Datasphere solving and how is that benefiting you?** it helps me connect and manage my heterogenous day across my current hybrid environments. i also use it for semantic modelling and helps me preserve business logic and relationships. ### 18. Seamless Data Integration, Intuitive UI—But Setup and Pricing Can Challenge New Users **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Media Production | Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about SAP Datasphere?** SAP Datasphere excels at bringing together data from both SAP and non-SAP systems into a single, unified model. Its integration with existing SAP environments, particularly S/4HANA and BW, is seamless and helps save significant time. I appreciate that it allows for live data access rather than depending on frequent data extracts, which ensures analytics remain consistent and current. Additionally, the interface has become far more intuitive than what was offered in previous SAP data tools. **What do you dislike about SAP Datasphere?** Setting up the platform can be somewhat complex for new users, and its performance may fluctuate based on the volume of data and the type of integration used. Certain advanced features, such as semantic modeling and large-scale data replication, could benefit from further improvement. Additionally, the pricing may be on the higher side for smaller projects or teams, especially when compared to other data warehousing solutions. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere effectively eliminates data silos by consolidating information from various systems, ensuring that reports and analytics remain current and accurate. As a result, less time is wasted searching for data, allowing for more focus on gaining insights that genuinely drive the business forward. The setup is straightforward and helps the team maintain efficiency and simplicity in their workflow. ### 19. Absolutely Love Everything About It **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Enterprise (> 1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about SAP Datasphere?** 1.EverythingI like how SAP Datasphere provides a unified data layer that simplifies access to data across different sources, including both SAP and non-SAP systems.” 2. “The integration capabilities are impressive — especially how it connects seamlessly with SAP S/4HANA and other cloud platforms.” 3. “I appreciate the data modeling and governance features, which make it easier to ensure consistency and reliability of data across teams.” 4. “It offers a strong balance between self-service analytics and centralized data management.” 5. “The real-time data access and synchronization reduce duplication and improve efficiency in reporting.” **What do you dislike about SAP Datasphere?** ⚙️ Technical / Performance Concerns 1. “The performance can sometimes lag when dealing with very large datasets or complex transformations.” 2. “Initial setup and configuration can be time-consuming, especially when integrating multiple non-SAP data sources.” 3. “Some advanced data modeling and transformation features still require technical expertise, which limits full self-service use.” 4. “Real-time data synchronization occasionally faces latency issues, depending on network or connector performance.” **What problems is SAP Datasphere solving and how is that benefiting you?** 1. “It solves the problem of maintaining multiple data copies by enabling direct access to live data, reducing redundancy and maintenance overhead.” 2. “It addresses the challenge of integrating SAP ERP data with cloud analytics tools efficiently. Now, we can model and analyze real-time business data without extensive manual data movement.” 3. “By combining data warehousing, governance, and semantic modeling in one platform, Datasphere simplifies our overall data architecture.” ### 20. Unified Data and Real-Time Insights with SAP Datasphere **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** October 14, 2025 **What do you like best about SAP Datasphere?** What I like best about SAP Datasphere is how it empowers organizations to manage and analyze data from multiple sources in a seamless and efficient way. Its cloud-native architecture allows for real-time data access and integration, eliminating the need for complex data movement or replication. I appreciate its ability to connect structured, unstructured, and streaming data, making it easier for teams to derive actionable insights quickly. The intuitive interface and advanced data modeling capabilities simplify data preparation, governance, and collaboration across departments. Additionally, the platform’s strong integration with other SAP solutions ensures consistency and reliability in analytics and reporting. By providing a single, unified view of enterprise data, SAP Datasphere helps organizations make informed decisions faster, optimize operations, and drive innovation. Its combination of scalability, flexibility, and real-time analytics makes it an essential tool for modern data-driven businesses. **What do you dislike about SAP Datasphere?** While SAP Datasphere offers powerful data integration and analytics capabilities, one area that can be challenging is its complexity for new users. The platform has a steep learning curve, particularly when working with advanced data modeling, transformations, or integrating multiple data sources. Even with documentation and tutorials, getting fully comfortable with all its features can take time and practice. Some users may find that certain configurations or connections require additional technical knowledge, which can slow down initial adoption. Additionally, while the platform is very flexible, this flexibility sometimes comes with the trade-off of having to manage more setup and maintenance tasks compared to simpler, more streamlined solutions. Performance can also vary depending on the volume and complexity of the data being processed. Despite these challenges, SAP Datasphere remains a strong tool for enterprise data management, but organizations should be prepared to invest in proper training and planning to maximize its potential. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the challenge of fragmented and siloed data across organizations by providing a unified, cloud-based platform for data integration, management, and analytics. Before using it, accessing and analyzing data from multiple sources often required complex ETL processes, manual consolidation, or waiting for IT support, which slowed decision-making. With Datasphere, I can easily connect structured, unstructured, and streaming data from different systems in real time, creating a single source of truth for analytics. This reduces data redundancy, improves accuracy, and enables faster insights. Its intuitive modeling and governance features also ensure that data is consistent and reliable, while collaboration tools make it easier for teams to work together on reports and dashboards. As a result, I can make informed, data-driven decisions quickly, optimize processes, and respond proactively to business needs, ultimately enhancing productivity and supporting strategic initiatives across the organization. ### 21. Comprehensive Data Integration and Management Platform. **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Automotive | Small-Business (50 or fewer emp.) **Reviewed Date:** October 07, 2025 **What do you like best about SAP Datasphere?** SAP Datasphere offers a powerful, unified environment for managing and integrating data from multiple sources throughout the enterprise. Its tight integration with SAP and non-SAP systems allows for real-time data access and transformation, which helps teams maintain data consistency and quality. Once you're used to it, the interface is simple to use, and the built-in data governance and lineage capabilities help to ensure compliance and transparency. The scalability and cloud-native design make it an excellent choice for large organizations that require flexibility and security. **What do you dislike about SAP Datasphere?** While SAP Datasphere is a robust platform, it comes with a steep learning curve, especially for users new to SAP’s ecosystem. Some advanced configurations require technical expertise, and initial setup or integration with legacy systems can take longer than expected. The pricing can be high for smaller teams, and performance may vary depending on data volume and connection type. Customer support is generally responsive but could be faster for more complex technical issues. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere addresses the issue of fragmented and siloed data across multiple systems. By providing a single, integrated platform for data integration, modeling, and governance, we can seamlessly connect SAP and non-SAP sources. This unified view of enterprise data facilitates better decision-making, improves reporting accuracy, and saves time on manual data preparation. The platform's real-time data access ensures that teams across departments work with the most up-to-date information, resulting in significantly improved operational efficiency and collaboration. Furthermore, the built-in data lineage and governance features improved compliance and audit readiness, giving us greater confidence in the quality and reliability of our data. ### 22. Seamless Connectivity and Intuitive Modeling with SAP Datasphere **Rating:** 4.5/5.0 stars **Reviewed by:** Manjinder S. | IT Manager, Enterprise (> 1000 emp.) **Reviewed Date:** November 21, 2025 **What do you like best about SAP Datasphere?** love that SAP Datasphere gives seamless connectivity to both SAP and non-SAP systems, lets you build business-friendly semantic models with no/low code, and keeps data consistent and governed. **What do you dislike about SAP Datasphere?** I dislike that SAP Datasphere can feel sluggish with large or complex models — its UI lags, error messages are vague, and some advanced transformations still demand SQL script. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere breaks down data silos by connecting SAP and non-SAP sources, adds a shared business layer, and enables trusted self-service analytics — giving faster, clearer, and more reliable insights. ### 23. Seamless Connectivity and User-Friendly Interface **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** November 05, 2025 **What do you like best about SAP Datasphere?** The platform offers connectivity to both SAP and non-SAP sources, which is very convenient. I appreciate the regular updates that come with the biweekly waves. The free oData and JDBC/ODBC interfaces make it easy to extract data from Datasphere. Additionally, the user interface is quite handy and user-friendly. **What do you dislike about SAP Datasphere?** The platform lacks integrations such as a general REST or oData INGRESS interface, which would allow data to be inserted directly from third-party platforms. As it stands, you still need to rely on middleware solutions like Integration Suite or Data Intelligence to achieve this. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere simplifies the process of extracting data from a variety of source systems, both SAP and non-SAP. It enables users to consolidate this information, making it easier to generate valuable insights and create reports based on enterprise data. ### 24. Unlocking Contract Insights with SAP Datasphere + Volody CLM **Rating:** 5.0/5.0 stars **Reviewed by:** Aman J. | Senior Product consultant, Legal Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 09, 2025 **What do you like best about SAP Datasphere?** I really like SAP Datasphere’s real-time data integration and how it connects multiple sources seamlessly. The self-service access and collaboration features make it easy for teams to work with complex data without heavy IT involvement. It’s fast, reliable, and delivers actionable insights that really help drive decisions. **What do you dislike about SAP Datasphere?** AP Datasphere could improve by handling large datasets faster, streamlining data integration, and adding more automation and visualization tools. Flexible pricing and simpler onboarding would also make adoption easier for organizations. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the problem of scattered enterprise data by bringing Volody’s contract data together with ERP, CRM, and procurement systems into a single platform, enabling real-time analytics, compliance tracking, and predictive insights ### 25. A solid tool for managing and integrating enterprise data **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** October 08, 2025 **What do you like best about SAP Datasphere?** SAP Datasphere makes it easy to connect and manage data across different systems without needing complex integrations. The interface is clean, and it works well with other SAP tools, making data modeling and sharing much smoother for teams. **What do you dislike about SAP Datasphere?** The initial setup can be a bit complex, and performance can slow down when handling very large datasets. It also takes some time to get used to all the features. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere helps bring data from different sources into one place, making it easier to prepare and analyze for AI and machine learning projects. It simplifies data access and improves data quality, which saves time and allows me to focus more on building and testing AI models rather than managing data manually. ### 26. Analytical review of SAP Datasphere **Rating:** 5.0/5.0 stars **Reviewed by:** Sayan H. | Market Research Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** February 18, 2025 **What do you like best about SAP Datasphere?** First & foremost as the next genaration SAP Data Warehouse cloud platform, it's really easy to use, haslots of new features that help Data professionals to play through it, Ease of Data Management, Semantic Modelling & it's implementation, Data Marketplace (to facilitate data sharing & collaboration within organization). SAP Datasphere peaked in these following points from it's previous versions are- Improved Data consistency, Faster insights, Data governence & streamline Data Integration. **What do you dislike about SAP Datasphere?** There is no such con I have encountered with SAP Datasphere till now, unless the Price point. I think it's really costly compared to it's competitor & older version as well. Hope it'll leave up to the mark. **What problems is SAP Datasphere solving and how is that benefiting you?** A unified platform for data modeling & analysis & a low-code to no-code interface for data preparation & analysis. ### 27. User Experience **Rating:** 4.0/5.0 stars **Reviewed by:** Aman R. | Process Manager - Data & Strategy, Enterprise (> 1000 emp.) **Reviewed Date:** January 03, 2025 **What do you like best about SAP Datasphere?** I recently started using DataSphere. I can say That It is a powerful tool that really helps us use and maintain our data effectively. Also, DataSphere is really fast with heavy data loads. Airflow can be created with Python **What do you dislike about SAP Datasphere?** In creating the Python airflow I think the code as the error message you'll get is very limited. I tried to execute a SQL query to look at a table. I couldn't find an editor (except for SQL View. But I don't want to create and deploy a view). So is it just me or is it impossible to write simple SQL queries, execute them and see and download the result? **What problems is SAP Datasphere solving and how is that benefiting you?** I have found the best use cases right now are as a middleware / data collector for handing off to Azure/PowerBI or Databricks. Without DS, doing this isn’t easy going, but with DS, it handles the delta and object transfer well. Compared to just ripping out tables on mass and having to glue it all together outside. ### 28. Unleashing the power of data through SAP Datasphere **Rating:** 5.0/5.0 stars **Reviewed by:** Harshitha R. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 02, 2025 **What do you like best about SAP Datasphere?** As SAP Datasphere is a cloud based data management solution which provides the organisation to manage , integrate and analyse the vast amount of data from multiple data sources and tends to provides the unified data collection source to enables the seamless data access, governance and insights. As a User, I felt it is effortless to use the SAP Datasphere tool. I would like to develop the dynamic application which requires the powerful data management solution to perform the real time data analysation , ensuring the data security to build a modern applications with the scalable architecture that supports both the on-premises and cloud based data systems and to be said one of the stand-out feature in the SAP Datasphere is virtualisation which enables in keeping the data accessibility at all the times with a notable characterstics such as reduce in latency , improved accessibility and minimizes the storage cost while ensuring the real time data availability for analytics. **What do you dislike about SAP Datasphere?** I felt difficulty in connecting the SAP Datasphere system with the third part Non-SAP systems however the system supports with the various integrations and connectors , but the fact of integrating with the systems other than SAP is not hassle -free . The SAP can pay attention at this space can provide the improved robust solution in connecting with the other systems. Apart from this I do not found any major challenges while using the SAP system . **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the critical business challenges by integrating/Unifying the data from the multiple data sources provides the user with a unified data to perform the real time data analysis and to make the data driven decisions to solve the complex business scenarios and used in solving the complicated data integration scenarios by reducing the time and effort needed to prepare the data and to access the data. It provides the collaborative sharing and fosters the cross-functional team supports. Through the functionalities supported by the SAP Datasphere I am able to deliver the powerful data driven business applications without any hassle. ### 29. SAP Datasphere use cases and how it helped me grow my business. **Rating:** 4.0/5.0 stars **Reviewed by:** Sumit C. | Director, Mid-Market (51-1000 emp.) **Reviewed Date:** February 04, 2025 **What do you like best about SAP Datasphere?** The best thing about SAP Datasphere is the ease it provides the new user and how efficiently it handles every task. The onboarding is so easy and makes the tasks look easier. I use this software daily to make my life easier. The implementation of SAP Data is so easy that a newbie could easily understand and integrate it in their business. The feature that it provides makes every easier. **What do you dislike about SAP Datasphere?** They could improve on the support they provide because it's a bit new software so sometimes it hard to understand. they could make the integration a bit easier. **What problems is SAP Datasphere solving and how is that benefiting you?** The best part about using this software on day to day basis is that it is the easiest software to use and the features that it provides makes everything easier. ### 30. SAP Datasphere review **Rating:** 5.0/5.0 stars **Reviewed by:** Manuel L. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 06, 2025 **What do you like best about SAP Datasphere?** I like how it makes my job much easier in comparison with other similar services. I have been working with it for s year now and I don't think I'm moving **What do you dislike about SAP Datasphere?** I found a steep learning curve but nothing unsolvable. Sometimes i don't find the interface much appealing but nothing related to how useful it is at all **What problems is SAP Datasphere solving and how is that benefiting you?** I think the main solutions SAP Datasphere is sobbing in my company are on a much larger scale such as unifying how many workers operate with it more or less ### 31. Seamless Data Management Software **Rating:** 5.0/5.0 stars **Reviewed by:** Nikhil S. | Growth Marketing Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** December 04, 2024 **What do you like best about SAP Datasphere?** All-in-One Solution: It’s amazing how everything you need—data integration, analytics, and governance—is packed into one platform. No more juggling multiple tools! Effortless Connectivity: I love how seamlessly it connects to both SAP and non-SAP systems, making real-time data access a breeze. Easy to Use: The interface is super intuitive, even for someone who’s not a data expert, which saves so much time. Great for Teamwork: The collaboration features make it so easy to share data securely and work together more efficiently. Built for the Future: Its cloud-based design means it’s fast, reliable, and scales as your business grows. Powerful Insights: It brings all your data together so you can actually use it to make better decisions, faster. **What do you dislike about SAP Datasphere?** Pricing: It’s on the expensive side, especially for smaller businesses or those just starting with data management. Learning Curve: Some of the advanced features can feel a bit overwhelming at first, especially if you’re not already familiar with SAP’s ecosystem. **What problems is SAP Datasphere solving and how is that benefiting you?** Faster decision-making and a complete view of business operations, Saves time and reduces errors, Helps maintain trust in data while meeting regulatory requirements ### 32. Data replication using Data Sphere **Rating:** 5.0/5.0 stars **Reviewed by:** Krishna A. | IT&D Senior manager Finance, Legal & Management reporting, Enterprise (> 1000 emp.) **Reviewed Date:** May 19, 2025 **What do you like best about SAP Datasphere?** Replication flows and easy of connectivity with ERP's and ease of implementation **What do you dislike about SAP Datasphere?** As of now i don't see anything which i dont like **What problems is SAP Datasphere solving and how is that benefiting you?** We have used datasphere to replicate data from SAP S4 to data lakes and use it for operational and management reporting ### 33. Very easy to use and user friendly **Rating:** 4.5/5.0 stars **Reviewed by:** Harshit B. | Network Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** February 05, 2025 **What do you like best about SAP Datasphere?** I started using this for data warehousing, as a layman it's quite easy to get a grasp of and use. Even the customer support is pretty good if you come across any issues. It comes with a lots of features that a company can use and the implementation is very easy. **What do you dislike about SAP Datasphere?** Although it's easy to use, it comes with a lot of features and it can be a little confusing sometimes. **What problems is SAP Datasphere solving and how is that benefiting you?** My company mainly uses it for data warehousing and as it has many features, it is really easy to use. ### 34. User friendly, reliant and central place for all data **Rating:** 5.0/5.0 stars **Reviewed by:** Krunal S. | Digital Marketing Executive, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** December 18, 2024 **What do you like best about SAP Datasphere?** I’ve been really impressed with this service. It offers quick support whenever I need it, has easy-to-use features, runs smoothly with minimal lag, and makes managing users a breeze. It’s been a great experience overall! **What do you dislike about SAP Datasphere?** I do not use it that much but Integration is a bit difficult for us. **What problems is SAP Datasphere solving and how is that benefiting you?** We were able to get work moving with less people and it allowed us to focus on bigger challenges. ### 35. Easy and untuitive specially in the areas of warehousing and integrating data accross sources **Rating:** 4.5/5.0 stars **Reviewed by:** Bikash S. | Produc Development Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** December 03, 2024 **What do you like best about SAP Datasphere?** I beleive the benifits depends on each use case of users, in my scenario i loved the easy of use when it comes to warehouses, we were able to get the work done by people who had minimal knowledge on large dataset handling **What do you dislike about SAP Datasphere?** We haven't yet faced anything that stands as a disadvantange on using SAP datasphere although it would be nice to have some AI on top of this which minimalizes manual efforts **What problems is SAP Datasphere solving and how is that benefiting you?** In my case we were able to get work going even with low skilled developers who had less experience with warehousing, this helped us in focusing bigger problems. ### 36. SAP Datasphere Platform for Data Modelling **Rating:** 3.5/5.0 stars **Reviewed by:** Panini K. | Consultant, Pharmaceuticals, Mid-Market (51-1000 emp.) **Reviewed Date:** December 06, 2024 **What do you like best about SAP Datasphere?** On-demand instant support serivce Availability of next-gen functionalities User friendly UI/UX with minimal latency Ease of user management **What do you dislike about SAP Datasphere?** Expensive vis-a-vis the competitors Missing few standard modules, hence, have to build few modules from scratch COnnectors can be more efficient in pulling data **What problems is SAP Datasphere solving and how is that benefiting you?** It assists in bringing instant insights via efficient data modelling Improve internal process efficiencies Increase business outcomes ### 37. Best solution for multiple usecases **Rating:** 5.0/5.0 stars **Reviewed by:** madhulika t. | Lead Lending Operations, Enterprise (> 1000 emp.) **Reviewed Date:** December 05, 2024 **What do you like best about SAP Datasphere?** It is very easy to work with and get the data insights to analyse the data sets. **What do you dislike about SAP Datasphere?** The experience is good so far, but integrating with legacy systems can be worked upon. **What problems is SAP Datasphere solving and how is that benefiting you?** So I work on industry data and sap datasphere helps me bring out the insights from the datasets. ### 38. Highly impresses with its AI feature and smarter way to manage things. **Rating:** 4.0/5.0 stars **Reviewed by:** Swati P. | Senior Talent Sourcer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 13, 2025 **What do you like best about SAP Datasphere?** It is easy to pull data from other sources and a smarter way to manage things. It has Advanced Analytics, AI and Strong Data Security. **What do you dislike about SAP Datasphere?** It is expensive and also not very easy-to-use software like other competitors. **What problems is SAP Datasphere solving and how is that benefiting you?** It is easy to integrate and we can collect data from various sources. ### 39. Review about my experience with SAP Datasphere **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.) **Reviewed Date:** January 03, 2025 **What do you like best about SAP Datasphere?** SAP Datasphere is a good management tool which helps in simplifying and handling of business and organization data with its easy to use interface and real time insights providing features. **What do you dislike about SAP Datasphere?** The only thing to dislike SAP datasphere is its setup cost and its interlinking with SAP ecosystem as in my opinion it works best only with SAP ecosystem. This is the only downside. **What problems is SAP Datasphere solving and how is that benefiting you?** It helps in data warehousing or you can say data storing with real time insights about the data stored it may be about product or organisation. Regarding benefits I can say it's simple integration in SAP ecosystem which gives a very good user experience. ### 40. Comprehensive data management and analytics platform **Rating:** 4.5/5.0 stars **Reviewed by:** Kumar G. | Senior Business Analyst(ANS Commerce), Mid-Market (51-1000 emp.) **Reviewed Date:** January 02, 2025 **What do you like best about SAP Datasphere?** It has robust integration, advance analytics along with strong governance, which has made it into a comprehensive solution. It harnesses data effectively to unlock actionable insights Once setup is done its easy to use **What do you dislike about SAP Datasphere?** 1. High cost 2. Complexity in setup 3. Occasional performance or integration challenges **What problems is SAP Datasphere solving and how is that benefiting you?** Addresses critical data challenges such as siloed data and scalability. Helps me find actionable insights and to enhance operational efficiency, and improve decision-making ### 41. Great **Rating:** 5.0/5.0 stars **Reviewed by:** Rishav p. | Warehouse Executive, Enterprise (> 1000 emp.) **Reviewed Date:** February 17, 2025 **What do you like best about SAP Datasphere?** Its easy to use and available in google play stote and we can use it easily **What do you dislike about SAP Datasphere?** No dislike but its not available for all software **What problems is SAP Datasphere solving and how is that benefiting you?** I can track all my records and all data is visible in simple way ### 42. Awesome Software In Industry **Rating:** 5.0/5.0 stars **Reviewed by:** Sanjay K. | Senior Executive , Logistics and Supply Chain, Mid-Market (51-1000 emp.) **Reviewed Date:** December 06, 2024 **What do you like best about SAP Datasphere?** In SAP data analytics makes simple and we create own data by selecting database creations **What do you dislike about SAP Datasphere?** No it's has nothing to dislike SAP in best software for Industry. **What problems is SAP Datasphere solving and how is that benefiting you?** Data collected in one window,and managing all the data on my own types ### 43. Seamless and easy integration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** December 11, 2024 **What do you like best about SAP Datasphere?** I think it's east-to-use and seamless integration features are the best for making real-time data access a breeze. **What do you dislike about SAP Datasphere?** I have not seen any disadvantages till now except the expensive pricing. **What problems is SAP Datasphere solving and how is that benefiting you?** The data service helps businesses to improve strategies in accessing scalable data without duplication. ## SAP Datasphere Discussions - [What is SAP Data Warehouse Cloud used for?](https://www.g2.com/discussions/what-is-sap-data-warehouse-cloud-used-for) - 1 comment - [View SAP Datasphere pricing details and edition comparison](https://www.g2.com/products/sap-datasphere/reviews?filters%5Bsentiment_snippet%5D=1526725&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+16%3A46%3A51+-0500&secure%5Bsession_id%5D=6b9a2a64-a4cd-4509-a513-95a762aad605&secure%5Btoken%5D=6e26a7fb4785dafc5f5bd241d665abb8c0211124b708a5dcf1a7d1361713a41a&format=llm_user) ## SAP Datasphere Integrations - [Ansys Mechanical](https://www.g2.com/products/ansys-mechanical/reviews) - [Assembly by Quantum Workplace](https://www.g2.com/products/assembly-by-quantum-workplace/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Google Analytics](https://www.g2.com/products/google-analytics/reviews) - [HubSpot Sales Hub](https://www.g2.com/products/hubspot-sales-hub/reviews) - [Jenkins](https://www.g2.com/products/jenkins/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Python](https://www.g2.com/products/python/reviews) - [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) - [SAP Ariba](https://www.g2.com/products/sap-ariba/reviews) - [SAP BW/4HANA](https://www.g2.com/products/sap-bw-4hana/reviews) - [SAP Cloud ERP (SAP S/4HANA Cloud)](https://www.g2.com/products/sap-cloud-erp-sap-s-4hana-cloud/reviews) - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) - [SpendConsole](https://www.g2.com/products/spendconsole/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) ## SAP Datasphere Features **Data Management** - Data Integration - Data Discovery - Multi - Platform - Metadata **Data Management** - Data Integration - Data Compression - Built-In Data Analytics - In-Database Machine Learning - Data Lake Analytics - ETL - Extract Transfer Load - Data Capture and Transfer - Real-Time Analytics - Reporting/Analytics **Analytics** - Data Analytics **Integration** - AI/ ML Integration - BI Tool Integration - Data lake Integration **Security** - Compliance - Governance - Data Protection **Deployment** - Cloud **Performance ** - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Security** - Data Governance - Data Security **Agentic AI - Data Fabric** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Parallel Processing - Ad hoc Analysis - Multiple Data Sources - API - In-Database Processing - Monitoring - Real-Time Reporting - Data Synchronization - Real-Time Monitoring - Data Connectors - Performance Metrics - Ad hoc Reporting - Alerts/Notifications - Access Controls/Permissions - Drag & Drop - Data Visualization - Data Import/Export - Match & Merge - Data Transformation - Secure Data Storage - Data Extraction - AI Copilot - Customizable Reports - Activity Dashboard - Data Migration - In-Memory Processing - Data Mapping ## Top SAP Datasphere Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - 4.3/5.0 (371 reviews)