--- 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. SAP Datasphere Simplifies Multi-Source Data Consolidation and Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Nijat I. | Full-stack Developer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** May 03, 2026 **What do you like best about SAP Datasphere?** SAP Datasphere was extensively used by me in data integration and reporting processes in which multiple datasets were required to be combined in a unified analytical view. Much of my usage involved dealing with datasets, connecting models, and checking that reporting output aligned with the rules of the source system. The biggest advantage provided by the application, in my view, was that it decreased the need for manual extraction and transformation of datasets. Rather than extracting the data in separate sets and then transforming them into a usable format, I could deal with the connected models directly. **What do you dislike about SAP Datasphere?** The learning curve is very steep, especially if you come from SQL-based or traditional independent data warehousing systems. It takes some time for you to be able to operate effectively once you know how models, spaces, and connections work. Another difficulty lies in the fact that debugging problems in the data may involve navigating many levels of abstraction. If the result obtained does not correspond to what was expected, determining at which level there is a problem may take some additional time. **What problems is SAP Datasphere solving and how is that benefiting you?** Before the introduction of SAP Datasphere, data from multiple sources had to be joined and processed before analyzing, causing inefficiencies and inconsistencies. However, in SAP Datasphere, the data integration layer is consolidated, meaning that reporting and analytics can now happen in a location close to the data governance models. This ensures fewer inefficiencies in preparing data for analysis and reporting. ### 2. SAP Datasphere A Powerful Platform for Data Integration and Real-Time Business Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Muzammil M. | Founder – Muzammil Graphic | Interior and Graphic Designer | Transforming Spaces and Brands Visually , Graphic Design, Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2026 **What do you like best about SAP Datasphere?** I used SAP Datasphere on a trial basis and I am currently learning it. From my experience, it is a very powerful tool for data integration and analytics. It helps bring data from different sources into one place and makes it easier to understand and use for business insights. Even during the learning phase, I can see how useful it is for companies because it simplifies complex data management. For buyers, it is a good investment if they want better data control, real-time insights, and a modern analytics solution. Overall, I am still exploring it, but I can already see strong benefits for business use. **What do you dislike about SAP Datasphere?** Since I am currently using SAP Datasphere on a trial basis and still learning, I find that there is a bit of a learning curve, especially for someone new to data modeling and SAP ecosystem. Some advanced features are not immediately easy to understand without proper guidance or tutorials. It takes time to explore and fully understand the workflow. However, this is expected for a powerful enterprise-level tool, and I am still in the learning phase. **What problems is SAP Datasphere solving and how is that benefiting you?** From my initial trial and learning experience with SAP Datasphere, I see that it solves the major problem of scattered and complex data across multiple systems. It helps bring all data into one connected environment, making it easier to organize, model, and understand for business insights. Earlier, working with data from different sources felt confusing and time consuming, but Datasphere simplifies this process by providing a more structured and centralized approach. For me, even at the learning stage, it is already helping me understand how businesses can get faster and clearer insights from their data. Overall, it feels like a game-changing tool for improving data management and decision making. ### 3. Zero-Copy Data Virtualization Made Easy **Rating:** 5.0/5.0 stars **Reviewed by:** kia n. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2026 **What do you like best about SAP Datasphere?** Zero copy of data - We virtualize the source data for consumption and curate it in Datasphere without copying. The data comes from multiple sources and it all gets harmonized into one layer. **What do you dislike about SAP Datasphere?** We use SAC for planning, and we rely on Datasphere as the backend to load data into SACP. What we don’t like about Datasphere is that whenever we make model changes, it breaks the real-time replication, and we then have to reload the data. **What problems is SAP Datasphere solving and how is that benefiting you?** We’re currently using Datasphere primarily as a data warehouse, and we plan to move toward seamless planning as well. Hopefully, this will enable us to take advantage of the AI capabilities in BDC, such as Joule and AI agents. We also hope to bring in Data Products and integrate BDC (Datasphere) with other lakehouse platforms like Databricks. ### 4. SAP Datasphere: a reliable solution for data **Rating:** 4.5/5.0 stars **Reviewed by:** Yosra M. | Consultante Salesforce, Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about SAP Datasphere?** I use SAP Datasphere as a central platform to manage, structure, and leverage company data. I particularly like the ability to unify data from multiple systems while maintaining a clear and coherent structure. Its semantic layer makes the data easier to understand for business teams. I appreciate the features that facilitate daily work, such as graphical modeling that allows building business models visually without having to write complex code. The Data Flow feature is valuable because it allows creating transformation pipelines intuitively, ensuring good performance and clear governance. **What do you dislike about SAP Datasphere?** Even though SAP Datasphere brings a lot of value, some things could be improved. The interface sometimes lacks fluidity, especially when working on complex models or when multiple objects are open at the same time. Some actions take longer than necessary, which can slow down daily work. The interface could be faster; sometimes pages take a while to load, especially when opening multiple models. Some actions require too many clicks, which slows down the work. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere helps me gather data scattered across multiple systems and obtain consistent and reliable insights, avoiding contradictory data between teams. It also simplifies data preparation for analysis, reducing manual work. ### 5. Powerful Data Integration, But Steep Learning Curve **Rating:** 5.0/5.0 stars **Reviewed by:** Abilash B. | Data Science & BI Intern, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about SAP Datasphere?** I primarily appreciate how SAP Datasphere simplifies working with data while preserving business context. The business layer (semantic modeling) is a significant advantage, allowing me to build models that reflect business meanings, making reports easier to understand and ensuring consistency across teams. I really like the data virtualization feature because it lets me access data directly from source systems without the need for heavy data duplication, saving time and reducing storage overhead. Its tight integration with SAP tools, especially SAP Analytics Cloud, enhances the ease and speed of reporting once data models are ready. The mix of low-code and SQL-based modeling is quite practical for me as a data analyst, allowing me to quickly build or modify datasets without heavily relying on engineering teams. Lastly, I appreciate the governance and structure it enforces, as it ensures cleaner, more reliable data, even though it involves a bit of a learning curve initially. **What do you dislike about SAP Datasphere?** Learning curve – It takes some time to understand spaces, modeling layers, and how everything connects, especially if you’re new to SAP. Performance tuning – When working with large datasets or complex models, performance can slow down and needs careful optimization. Cost considerations – Since it’s a cloud-based platform, usage and storage costs can increase if not managed properly. Limited flexibility compared to pure coding tools – For very custom or advanced transformations, sometimes traditional SQL/Python-based tools feel more flexible. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to unify data from various sources, enabling smooth data integration and governance. It creates centralized models for consistent KPIs, supports virtualization to avoid duplication, and reduces IT reliance by allowing self-service access, greatly enhancing our data handling and reporting efficiency. ### 6. Spaces and SAP Metadata Handling Make Datasphere a Huge Win **Rating:** 4.5/5.0 stars **Reviewed by:** Aseem S. | Analytics Manager - Card Analytics Lead, Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about SAP Datasphere?** The best part for me is the “Spaces” setup. It finally solves that old headache where Finance or Marketing wants their own data playground, but without the risk of them accidentally breaking our core IT models. It’s a huge relief to give them real autonomy while I still keep the “governance” keys. I also really like that it doesn’t strip away the meaning of my SAP data. If you’ve ever tried moving SAP data into a non-SAP warehouse, you know what a nightmare it can be to rebuild all the logic. Datasphere just “gets” the metadata right out of the box, and that has saved us a ton of manual mapping work. **What do you dislike about SAP Datasphere?** The interface can feel really laggy. There’s a noticeable delay when saving models or switching between the Data Builder and the Business Builder, and it gets frustrating when you’re trying to move quickly. Pricing is also pretty confusing. It’s hard to predict how many “Capacity Units” you’ll actually burn through, so you end up constantly monitoring usage to avoid an unexpectedly huge bill. On top of that, the error messages are often far too vague—half the time I have to dig through forums just to understand what a basic validation error is even trying to say. **What problems is SAP Datasphere solving and how is that benefiting you?** It’s finally solving the “data silo” problem we’ve struggled with for years. Before this, our SAP data lived in a completely separate world from our non-SAP data, and getting the two to work together meant massive, messy ETL projects. Now we can largely leave the data where it already lives and just connect to it “virtually.” The biggest benefit for me is being able to pull a report that combines real-time S/4HANA sales data with external market trends in minutes instead of days. It’s helped move us away from “Excel Hell” and given us a single place where the numbers actually line up across the whole company. ### 7. Simple to Use, Quick Learning Curve, and Solid Performance **Rating:** 5.0/5.0 stars **Reviewed by:** Alex C. | Post Ph.D. - Researcher, Mid-Market (51-1000 emp.) **Reviewed Date:** April 27, 2026 **What do you like best about SAP Datasphere?** Simplicity to use the different features. Short curve of learning how to use the different solutions. Performance ok and requirements easy to satisfy. **What do you dislike about SAP Datasphere?** The customization part is not so easy to learn and lacks of some powerful mechanisms to impleement complex tasks. The integration with other tools can be improved. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves the headache of having data scattered across separate systems like Salesforce, Excel, and ERPs by linking them into a single "business data fabric." It stops me from losing the original meaning of my data when I move it, which means I don't have to rebuild complex tax or currency logic from scratch. By using data federation, I can query information exactly where it sits instead of waiting for slow, manual transfers. This benefits me by giving me instant access to real-time insights so I can make decisions based on what is happening right now. I no longer have to be a technical expert to build my own dashboards because the system translates messy code into clear business terms like "Net Profit." Most importantly, it ensures I am always looking at the same numbers as my colleagues, which saves me from wasting time in meetings arguing over whose report is correct. ### 8. Centralizes Data with a Steep Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Andrei-Ayar T. | Frontend Web Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2026 **What do you like best about SAP Datasphere?** I like how SAP Datasphere helped solve the problem of fragmented data and made analyzing pricing, cost, and reporting metrics easier by centralizing data from multiple sources. It reduced the manual work for me and made it easier to reuse data models across different analyses, keeping the data consistent across teams. The centralization of data saved time and prevented our reporting from feeling scattered. Once we had the data modeled properly, the reuse across different analyses helped us to work more efficiently. **What do you dislike about SAP Datasphere?** It can feel a bit complex at first, especially when working with modeling, permissions, and setting things up. Performance sometimes hits a bottleneck with large or complex data. The platform sometimes lacks intuition, indicating a definite learning curve. Usability and onboarding could be improved, as some parts are not intuitive at first, so a clearer guide (maybe a wizard) and better documentation could ease adoption, especially for newer users. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere solves fragmented data issues by centralizing multiple sources for ease of reporting. It saves time by reducing manual work and enhancing data reuse, making analysis consistent and less messy. ### 9. SAP Datasphere Unifies SAP & Non-SAP Data with Cloud-Native Flexibility **Rating:** 5.0/5.0 stars **Reviewed by:** Aman S. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about SAP Datasphere?** SAP Datasphere is best known for its ability to unify SAP and non-SAP data while preserving business context. It offers a modern, cloud-native foundation that reduces the need for heavy on-premise infrastructure and provides strong flexibility through both real-time data federation and adaptable replication options. **What do you dislike about SAP Datasphere?** SAP Datasphere is criticized for its high licensing costs, slow performance with large datasets, and complex, non-intuitive UI. Users frequently struggle with sluggish interface response times and, in some cases, inadequate data integration with non-SAP sources, leading to a steep learning curve. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere addresses several critical challenges that traditionally hinder data-driven decision-making: Data Silos: It breaks down barriers between departments (e.g., Finance, HR, Sales) by integrating data from both SAP and third-party systems into a single access point. Context Loss: Unlike traditional ETL tools that strip away business logic, Datasphere preserves semantics like hierarchies, currency conversions, and relationship metadata from SAP applications. Dependency on IT: It reduces the "IT bottleneck" for report generation by providing low-code/no-code tools that allow business users to model and explore data independently. Data Inconsistency: It eliminates "KPI drift" where different departments use different versions of the same metric by establishing a unified semantic layer. Legacy Limitations: It solves the high maintenance costs and lack of agility found in aging on-premise systems like SAP BW through the BW Bridge, which enables a smooth transition to the cloud. ### 10. Powerful Data Foundation: But Come Prepared to Invest in It **Rating:** 4.5/5.0 stars **Reviewed by:** Ganesh P. | Bubble Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 07, 2026 **What do you like best about SAP Datasphere?** SAP Datasphere has come a long way on the interface front. It's genuinely more usable than most SAP products, with a drag-and-drop modeler that business users can actually figure out, though it still takes time to get comfortable with the full platform. Where it really shines is in integrations. It connects deeply into the SAP world but has opened up significantly, with solid links to Snowflake, Databricks, and Microsoft Fabri, so you're not trapped in one ecosystem. Performance is strong under the hood thanks to HANA Cloud, and if you're migrating from older SAP systems, you'll feel the difference straight away. Pricing isn't entry-level, but the SaaS model means you're not writing a huge check upfront; you grow into it. The ROI makes most sense if SAP is already your core stack. On support and onboarding, be honest with yourself: this isn't a tool you roll out casually. It needs a real implementation plan and ideally a good partner alongside you. The most exciting part right now is AI. The whole platform is clearly being architected with AI at the center, feeding SAP's Joule assistant, enabling governed data access for AI agents, and building toward a future where your data actually powers intelligent decisions rather than just reports. That direction alone makes it worth watching closely. **What do you dislike about SAP Datasphere?** The complexity is real, and it doesn't apologize for it. Getting up and running takes significant time, money, and expertise. This is not a tool you hand to a team and expect results from quickly. Without a proper implementation partner, you'll struggle. The pricing lacks transparency. It's hard to predict what you'll actually spend as your usage grows, and costs can creep up in ways that are difficult to plan for upfront. It still feels very SAP-centric at its core. While the third-party integrations have improved, the platform clearly works best when you're living inside the SAP ecosystem. If you're not, you'll constantly feel like you're working against the grain rather than with it. The pace of change, while impressive, is also a double-edged sword. Features arrive frequently, but documentation doesn't always keep up, leaving teams to figure things out through trial and error or expensive consulting hours. And despite the progress on UI, it still carries that distinctly SAP-heavy feel, with navigating the platform feeling bureaucratic, with too many layers between you and what you're actually trying to do. For business users especially, the learning curve remains steep enough to push people back toward their old spreadsheets. **What problems is SAP Datasphere solving and how is that benefiting you?** The core problem it solves is data fragmentation. When you're running multiple SAP systems alongside non-SAP tools, your data ends up scattered, inconsistent, and siloed by department. Datasphere pulls that together into one governed environment, so everyone is finally working from the same version of the truth. That has a very practical benefit: less time arguing about whose numbers are right in meetings, and more time actually making decisions. Finance, operations, and sales can all see the same data without someone having to reconcile spreadsheets beforehand manually. It also tackles the shadow BI problem. When business users can't get what they need from IT fast enough, they build their own rogue reports and data models. Datasphere gives them enough self-service capability to meet their own needs, while IT retains governance and control. That balance is genuinely hard to strike, and it mostly works here. For companies modernizing away from legacy SAP BW systems, it provides a credible migration path without having to rip everything out at once. You can run a hybrid for a while and move gradually, which reduces risk significantly. Looking forward, having clean, governed, centralized data is the foundation for everything AI-related. Any intelligent automation or predictive analytics you want to build needs reliable data underneath it. Datasphere is essentially laying that groundwork, so the benefit isn't just what it does today, but what it makes possible tomorrow. ### 11. Centralizes Data with Powerful Integration, But Learning Curve Exists **Rating:** 5.0/5.0 stars **Reviewed by:** Pavithra P. | Operations Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about SAP Datasphere?** I like SAP Datasphere because it creates a single, reliable source of truth by integrating and modeling data efficiently. This makes reporting faster and more consistent. Its efficient data integration reduces manual work and speeds up data availability, allowing us to make faster, more accurate decisions and deliver reliable insights through tools like Power BI. **What do you dislike about SAP Datasphere?** Learning curve – Takes time to understand modeling and architecture Performance – Can slow down with large or complex datasets Cost – Pricing can be high for scaling usage Flexibility – Less intuitive for non-SAP or custom integrations **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to integrate data from multiple sources, create a single source of truth, and enable faster analytics. It solves data silos, inconsistent reporting, and manual data prep issues, improving governance and data quality. ### 12. Unified Data Access with SAP Datasphere but Complex Setup **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about SAP Datasphere?** I really appreciate that SAP Datasphere offers a single, trusted view of data across different systems without needing to constantly move or duplicate large datasets. I love how you can connect to data where it already lives and still analyze it as one unified model. I also value its flexibility, better cloud integration, and easier real-time access to data across multiple systems. **What do you dislike about SAP Datasphere?** It can be complex to set up, has a steep learning curve, and sometimes performance and permissions management can be challenging at scale. Simpler onboarding with guided setup for first-time data models and connections, better performance optimization tools for large virtualized datasets, and more transparent monitoring would improve SAP Datasphere. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to unify data from different systems for consistent analysis, solving data silos and improving reporting efficiency. It provides a single, trusted view across systems without data duplication, simplifying analysis and enhancing real-time accessibility. ### 13. Strong Data Integration That Save Time and Storage **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about SAP Datasphere?** First thing first — the data integration part is genuinely good. We had multiple source systems and connecting them was not that painful as I was expecting. The virtual data models are quite helpful, you don't always need to physically move data which saves lot of time and storage cost both. The UI is okay-okay types. Not very intuitive at first, I will be honest. It took me maybe 2-3 weeks to properly understand where things are and how the flow works. But once you get hang of it, navigation becomes manageable. Performance wise, for large datasets the query speed is satisfactory. Not blazing fast but not too slow also. For our reporting requirements it is meeting the expectations mostly. **What do you dislike about SAP Datasphere?** First and biggest pain point — documentation is really not up to the mark. Many times I searched for specific configuration steps and either got outdated SAP help portal pages or had to dig through multiple community threads on SAP Answers forum. For a product of this price range, documentation should be much better. Second thing — the initial setup and onboarding is quite overwhelming. There are so many concepts like Space management, Data Builder, Business Builder etc. For someone coming fresh it feels like too much at once. My organization had to arrange separate training sessions just to get team comfortable with basic workflows. Third — licensing and pricing structure is not very transparent. It is difficult to estimate costs beforehand, and for mid size companies this becomes a concern during budget planning. Also error messages are sometimes very vague. When something fails in data pipeline, the error description doesn't always tell you exact root cause. You end up spending hours just to figure out what went wrong. **What problems is SAP Datasphere solving and how is that benefiting you?** With SAP Datasphere, we were able to connect these different source systems at one place without actually moving all data physically. The federated query approach is genuinely helpful here. Reports are now more consistent and trustworthy. Another benefit is time saving in data preparation. Earlier our analysts used to spend significant time just cleaning and joining data manually in Excel or writing custom scripts. Now much of that transformation logic is sitting inside Datasphere itself, reusable and centralized. That alone saved considerable effort for our team on weekly basis. For me personally, the data lineage feature has been quite beneficial. When any discrepancy comes in report, I can trace back exactly where the data came from and at which transformation step something went wrong. Earlier this kind of investigation used to take very long. ### 14. A Powerful SAP-Centric Ecosystems **Rating:** 4.5/5.0 stars **Reviewed by:** Rishabh Y. | Teaching Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2026 **What do you like best about SAP Datasphere?** SAP Datasphere excels in its ability to seamlessly integrate with the broader SAP ecosystem. The architecture empowers business users with self-service data modeling, allowing for faster insights without needing constant IT intervention. The transition from SAP Data Warehouse Cloud has also brought improved governance and unified data access. **What do you dislike about SAP Datasphere?** SAP Datasphere comes with a steep learning curve. Additionally, the pricing and licensing structures can be difficult to navigate and optimize for mid-sized organizations. **What problems is SAP Datasphere solving and how is that benefiting you?** Datasphere solves the problem of data siloing across hybrid environments by acting as a comprehensive data fabric. It allows us to federate data across multiple cloud and on-premise sources without having to physically move or duplicate all of it. This benefits the organization by providing a single source of truth for reporting, reducing data redundancy, and accelerating our real-time decision-making processes. ### 15. Unified SAP & Non‑SAP Data Fabric for Real‑Time Insights and Strong Governance **Rating:** 5.0/5.0 stars **Reviewed by:** Ahmad J. | ICT Specialist 2, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about SAP Datasphere?** building a single business data fabric that unifies SAP and non‑SAP data, so it’s easier to access real‑time insights, strong governance, and give both IT and business teams a simple, intuitive way to collaborate side by side. **What do you dislike about SAP Datasphere?** The high costs make it less accessible for smaller organizations. Performance can also lag when handling very large datasets, and the overall user experience often feels complex, which slows adoption and makes collaboration across teams more difficult. **What problems is SAP Datasphere solving and how is that benefiting you?** By implementing a business data fabric, organizations can connect, model, and analyze data across SAP and non‑SAP systems without the need to move everything into a single repository. ### 16. Centralized Data Integration Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Gaurav G. | Senior Software Engineer ( SDE-2), Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about SAP Datasphere?** I use SAP Datasphere as a Centralized Data Integration product for our data assets and find it very user-friendly. It effectively pulls data from various SAP and non-SAP sources, providing a single unified view of our business data, solving painful enterprise data problems. Additionally, I appreciate that it was very easy to set up initially and get running. It's a great product, and I hope they keep doing the great work. **What do you dislike about SAP Datasphere?** It is a bit expensive and there is a learning curve to use it. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere pulls data from various SAP and non-SAP sources, providing a unified business view. It's user-friendly, solving painful enterprise data problems. ### 17. 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. ### 18. 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. ### 19. User-Friendly Interface with Easy Navigation **Rating:** 5.0/5.0 stars **Reviewed by:** Ricky A. | Project Management- Network Quality Design, Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2026 **What do you like best about SAP Datasphere?** I love SAP Datasphere for managing databases and procurements because it's been great and easy to navigate. I find the interface user-friendly, which makes tasks straightforward. I also appreciate the simplification, easy access, data protection, and analytics capabilities it provides. Its smooth setup, aided by the interface and an accessible knowledge base, is a plus for me. **What do you dislike about SAP Datasphere?** I think the time it takes for a user to be logged out is too short, with just a few minutes of no movement or interaction. **What problems is SAP Datasphere solving and how is that benefiting you?** I find SAP Datasphere simplifies access, enhances data protection, and offers analytics capabilities. ### 20. 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 ### 21. 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. ### 22. Centralization and Speed, But Diagnosis to Improve **Rating:** 4.5/5.0 stars **Reviewed by:** Larbi K. | Concepteur Développeur Confirmé **Reviewed Date:** February 18, 2026 **What do you like best about SAP Datasphere?** I appreciate the ease of use of SAP Datasphere and the time savings it provides. The integration, preparation, and availability of data are done more quickly, with fewer manual manipulations. I like being able to quickly integrate multiple sources, model the data simply, and share it easily. This reduces manual tasks, limits errors, and speeds up the production of reliable analyses. **What do you dislike about SAP Datasphere?** The tracking of flows and the diagnosis of errors could be more detailed: more explicit logs, more comprehensive alerts and monitoring. **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to centralize and model reliable data, resolving data dispersion and ensuring a single, up-to-date data source. It reduces manual tasks, limits errors, and accelerates the production of analyses. ### 23. Seamless Setup and User-Friendly Design **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Mid-Market (51-1000 emp.) **Reviewed Date:** April 17, 2026 **What do you like best about SAP Datasphere?** I like SAP Datasphere for its ease of organization and ease of use. The user experience design is quite simple and nice. The initial setup was seamless with no problems at all. The customer support is impeccable. Moreover, it is our go to tool, and is frequently used in our daily operations. The UI/UX makes it very easy to integrate in our daily operations. **What do you dislike about SAP Datasphere?** There is nothing to dislike about the SAP Datasphere platform, specifically because it solves all the major organisational issues related to all kinds of data needed for smooth operations. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere helps me organize individual projects according to different stakeholders and understand the project status and overview, with exact and quick data ### 24. 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. ### 25. 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. ### 26. Intuitive UI Makes SAP Datasphere Accessible **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** May 21, 2026 **What do you like best about SAP Datasphere?** I find the UI of SAP Datasphere really intuitive. Despite my data team having no previous experience with any SAP tools, it wasn't hard for us to quickly get used to it, set replication flows, and understand the CDS views dictionary. **What do you dislike about SAP Datasphere?** That o have to use to extract my data from SAP **What problems is SAP Datasphere solving and how is that benefiting you?** I use SAP Datasphere to get data from SAP into my data lake easily. The intuitive UI made it easy for my data team to set up replication flows and work with it, even without prior SAP experience. ### 27. Reliable Self-Service Analytics and Fast Real-Time Data Access **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about SAP Datasphere?** It’s a reliable self-service analytics tool with a clean, intuitive UI/UX, straightforward SAP integration, and fast, real-time access to data. The cloud pricing feels fair, and the enterprise support is strong as well. **What do you dislike about SAP Datasphere?** If you’re new to SAP data modeling concepts, the learning curve can feel steep. It also has limited out-of-the-box AI features compared to other platforms. Its dependency on the SAP ecosystem is noticeable, and the UI could be more polished and flexible. **What problems is SAP Datasphere solving and how is that benefiting you?** It solves the problem of unifying fragmented data spread across SAP and non-SAP platforms. It helps me spend less time building and maintaining pipelines, and more time delivering insights. ### 28. 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. ### 29. 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. ### 30. SAP Data sphere **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 06, 2025 **What do you like best about SAP Datasphere?** SAP Datasphere is a powerful platform for data management and integration, offering real-time access to reliable business data. It allows organizations to bring together data from various sources and facilitates advanced analytics. On the downside, setting it up can be complicated, and its performance might fluctuate when handling large volumes of data. **What do you dislike about SAP Datasphere?** One aspect I find less appealing about SAP Datasphere is that it can be difficult for beginners to set up and manage. Integrating data and optimizing performance often demand a certain level of technical skill, and I have noticed that there can sometimes be latency issues, especially when working with very large datasets. **What problems is SAP Datasphere solving and how is that benefiting you?** What I find challenging about SAP Datasphere is that it can be difficult for beginners to set up and maintain. Integrating data and optimizing performance often demand a certain level of technical skill, and I have noticed that there can sometimes be latency issues, especially when working with very large datasets. ### 31. 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. ### 32. 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. ### 33. 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 ### 34. Unified Access and Seamless Integra“Powerful Platform to Simplifytion Make Analytics Effortless **Rating:** 4.5/5.0 stars **Reviewed by:** VEER s. | Application Architect , Chemicals, Enterprise (> 1000 emp.) **Reviewed Date:** November 06, 2025 **What do you like best about SAP Datasphere?** I like SAP Datasphere’s unified access, strong governance, and smooth integration that make building trusted, scalable analytics fast and simple. It's very simple and easy to connect with DB **What do you dislike about SAP Datasphere?** Some users find SAP Datasphere complex to set up, with a steep learning curve, higher costs, and occasional performance slowdowns on large, intricate data models. **What problems is SAP Datasphere solving and how is that benefiting you?** SAP Datasphere centralizes data from multiple systems, applies consistent governance, and streamlines modeling. This reduces manual integration work, improves data accuracy, and enables faster, more reliable analytics and reporting across the organization. ### 35. Very handful and productive **Rating:** 5.0/5.0 stars **Reviewed by:** Dennis E. | Accounts Receivable Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2025 **What do you like best about SAP Datasphere?** I like the fact that it lets me manage data from my own personal company in a very meticulous way, to the point I'm able to analyze a lot more data in a short time **What do you dislike about SAP Datasphere?** I don't have anything I particularly dislike from SAP Datashpere, I find it very useful and I highly recommend it to various users in order to manage data **What problems is SAP Datasphere solving and how is that benefiting you?** It enables me to manage more data from ehat other softwares or programs let me do. I don't have the same functionality I find in this program/software. ### 36. SAP Datasphere platform is for Sap database that is S4 Hana **Rating:** 5.0/5.0 stars **Reviewed by:** Kamil H. | MDG CONSULTANT , Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** December 11, 2024 **What do you like best about SAP Datasphere?** It is a next generation data warehouse cloud where user can access from anywhere anytime basically it is realtime data access and deliver a best experience for intergration , data vertualizstion , data catalog , data model , process modeling , Ui modeling . It enables data professionals to easily distribute **What do you dislike about SAP Datasphere?** It is bit difficult to learn, and we have to remeber lots of t-codes to access easily and comming to certification the certifications is a lot expensive so normal people can't afford. **What problems is SAP Datasphere solving and how is that benefiting you?** I am using for Sap master data Governance that is MDG. erlier sap dose not have its own data base so in that time it bit difficult to access all the data in real time and also it is not reliable now sap has its own datasphere that is S4 hana now we can access data from anywhere anytime and we can make data more pure with the help of MDG because of there layer of approval function so now datasphere make a very important role in sap. ### 37. A Handy Tool for Data Integration, but Not Without Its Quirks" **Rating:** 4.5/5.0 stars **Reviewed by:** Akshay Y. | Software Developer - 2, Mid-Market (51-1000 emp.) **Reviewed Date:** December 17, 2024 **What do you like best about SAP Datasphere?** To be honest, want to pull in data from different places very easily, especially from SAP sources like S/4HANA and SAP BW, Iyou should definitley go for SAP Datasphere. The built-in connectors save a lot of time. The data modeling tools are also pretty straightforward, and we can create views without writing tons of code. Also, the business data layer is handy for keeping data terms consistent across different reports, which makes things less confusing. But yeah, you need to be really have more patience. **What do you dislike about SAP Datasphere?** I think, this is very beginning for me, but so far, what I have felt is that the interface is okay, but it can feel limited if you’re used to full ETL tools. **What problems is SAP Datasphere solving and how is that benefiting you?** The data replication option is really good when we need faster access to frequently used data. We can connect with SAP S/4HANA, SAP BW, and third-party cloud sources saves us from constantly switching between tools. Also, being able to create views and transformations visually speeds up data prep, especially when building reports in SAP Analytics Cloud. It will take time initially, but trust me, you can do a lot of stuff even combining more SAP tools. ### 38. Versatile platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 21, 2025 **What do you like best about SAP Datasphere?** I like that Data sphere is very versatile and I used it in a collaborative environment across a wide variety of teams ranging both technical and non-technical business areas **What do you dislike about SAP Datasphere?** Options to connect to multiple data sources apart from the options already there would be a great asset to an already emerging technology would be nice **What problems is SAP Datasphere solving and how is that benefiting you?** Gathering processing cleaning analysing and storing large amount of data for later use by data scientists and lists to build reports and models. Nothing else. ### 39. 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. ### 40. 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. ### 41. 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 ### 42. 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 ### 43. Datasphere is User friendly and Open Ecosystem. **Rating:** 5.0/5.0 stars **Reviewed by:** Bansee B. | Legal Tech Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** December 18, 2024 **What do you like best about SAP Datasphere?** It is most useful for businesses to maintain their data in most seamless manner. And it also integrates with surrounding systems and helps in data analysis. **What do you dislike about SAP Datasphere?** I don't dislike anything as such about SAP Datasphere. However it be costly for small businesses. **What problems is SAP Datasphere solving and how is that benefiting you?** It makes data management easy and as it can integrate with surrounding system, it reduces the complexity and extra training period. It makes a centralized repository of the data and it helps in analysis of data at ease. It is also beneficial to be part of SAP ecosystem. Data security is a plus. ### 44. 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 ### 45. Easy Integration with SAP Ecosystem **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya T. | Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** February 05, 2025 **What do you like best about SAP Datasphere?** I've been using SAP Datasphere for a while now, and honestly, it’s a pretty solid tool if you're already working with SAP systems. It makes connecting with SAP S/4HANA, BW, and other SAP products way easier, and I really like the Business Data Fabric approach since it cuts down on unnecessary data duplication. It’s not perfect, but honestly if you’re deep in the SAP ecosystem, it makes life a lot simpler. **What do you dislike about SAP Datasphere?** SAP Datasphere is great for SAP integrations but pulling in non-SAP data can be tricky. Little bit costly. **What problems is SAP Datasphere solving and how is that benefiting you?** Ease of use and Security ### 46. 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. ### 47. Central cloud platform to connect data **Rating:** 5.0/5.0 stars **Reviewed by:** Emilio S. | Digital Transformation | Líder operaciones ventanilla de exportación y tecnología, Mid-Market (51-1000 emp.) **Reviewed Date:** May 28, 2025 **What do you like best about SAP Datasphere?** Integrate data from multiple sources and preserve the meaning of the data **What do you dislike about SAP Datasphere?** The cost of the tool ecosystem is very high for the size of medium organizations. **What problems is SAP Datasphere solving and how is that benefiting you?** Avoid moving data unnecessarily by analyzing it where it is without replicating it. ### 48. Amazing product **Rating:** 5.0/5.0 stars **Reviewed by:** Nikunj K. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2025 **What do you like best about SAP Datasphere?** It has amazing integration capabilities and you can extract data from multiple sources **What do you dislike about SAP Datasphere?** Nothing so far but if we had capability to integrate with Tableau and Power BI nothing like it. **What problems is SAP Datasphere solving and how is that benefiting you?** Analytics and self service and semantic layer ### 49. 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. ### 50. 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. ## 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%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+22%3A47%3A41+-0500&secure%5Bsession_id%5D=4a7dcf25-fa81-43f9-b49c-261bb8ccf4e3&secure%5Btoken%5D=2d94ff6202f4017922f15a791237442546f018bbceaf68a7db11bc74d6731443&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) - 4.6/5.0 (714 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)