--- 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: '2026-08-09' parent\_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # SAP Datasphere Reviews & Product Details Claimed ###### Profile Status This profile is currently managed by SAP Datasphere but has limited features. Are you part of the SAP Datasphere team? [Upgrade your plan](https://sell.g2.com) to enhance your branding and engage with visitors to your profile! 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. * * * Seller [SAP](https://www.g2.com/sellers/sap) Discussions [SAP Datasphere Community](https://www.g2.com/products/sap-datasphere/discuss) Languages Supported Arabic, Czech, German, Greek, English, Finnish, French, Italian, Japanese, Korean, Dutch, Norwegian, Polish, Portuguese, Romanian, Spanish, Swedish, Turkish, Ukrainian, Chinese (Simplified), Chinese (Traditional) Solution Type All-in-One Overview by Savannah Voll Show More ## Value at a Glance Averages based on real user reviews. ### Time to Implement 5 months ### Return on Investment 11 months [ View More Pricing Information ](https://www.g2.com/products/sap-datasphere/pricing) ## Top-Rated Alternatives [ ![Snowflake](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Snowflake") Snowflake 4.6/5(764) ](https://www.g2.com/products/snowflake/reviews) [ ![Google Cloud BigQuery](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Google Cloud BigQuery") Google Cloud BigQuery 4.5/5(1,224) ](https://www.g2.com/products/google-cloud-bigquery/reviews) [ ![Amazon Redshift](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amazon Redshift") Amazon Redshift 4.3/5(404) ](https://www.g2.com/products/amazon-redshift/reviews) [ View All Alternatives ](https://www.g2.com/products/sap-datasphere/competitors/alternatives) ## User Insights Average based on 170 real user reviews. Implementation Time 5 months Perceived Cost $$$$$ [Log in to unlock pricing and user insights](/login) ## SAP Datasphere Integrations (16) What do users say about integrations? Integration information sourced from real user reviews. [ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Ansys Mechanical ](https://www.g2.com/products/ansys-mechanical/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Assembly by Quantum Workplace ](https://www.g2.com/products/assembly-by-quantum-workplace/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Databricks ](https://www.g2.com/products/databricks/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Google Analytics ](https://www.g2.com/products/google-analytics/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") HubSpot Sales Hub ](https://www.g2.com/products/hubspot-sales-hub/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Jenkins ](https://www.g2.com/products/jenkins/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Jira ](https://www.g2.com/products/jira/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Microsoft Power BI ](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Python ](https://www.g2.com/products/python/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SAP Analytics Cloud ](https://www.g2.com/products/sap-analytics-cloud/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SAP Ariba ](https://www.g2.com/products/sap-ariba/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SAP BW/4HANA ](https://www.g2.com/products/sap-bw-4hana/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SAP Cloud ERP (SAP S/4HANA Cloud) ](https://www.g2.com/products/sap-cloud-erp-sap-s-4hana-cloud/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SAP HANA Cloud ](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") SpendConsole ](https://www.g2.com/products/spendconsole/reviews)[ ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image") Tableau ](https://www.g2.com/products/tableau/reviews) Show More ![Arkajit D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Arkajit D.") AD Arkajit D. Chief Technology Officer Information Technology and Services Mid-Market (51-1000 emp.) 5/14/2026 "Powerful Data Unification, but Implementation and Tuning Take Real Effort" 4/5 What do you like best about SAP Datasphere? What I like best about SAP Datasphere is how effectively it helps unify fragmented enterprise data without forcing organizations to completely rebuild existing data landscapes. In our case, we were dealing with operational and analytics data spread across ERP systems, finance platforms, reporting databases, cloud applications, and custom operational tools supporting fintech workflows. One of the biggest challenges was maintaining a consistent view of business data across teams because every department was working from slightly different datasets and reporting logic. SAP Datasphere helped create a more centralized and governed data layer without disrupting existing operational systems. What stood out immediately was the balance between integration flexibility and enterprise governance. The platform made it easier to connect SAP and non-SAP environments while maintaining better control over data consistency, lineage, and business context. From a UI/UX perspective, the platform felt more business-oriented compared to traditional data engineering-heavy environments. Analysts and operational stakeholders could collaborate more effectively with data teams because the data modeling and access workflows were easier to understand. Another strong point was performance for enterprise-scale analytics workloads. Even with large operational datasets and cross-system reporting requirements, query handling and data accessibility remained reliable for most business intelligence workflows. Integrations were also a major advantage since the platform connected well with analytics ecosystems and reporting tools already being used internally. That reduced migration friction and improved adoption across teams. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? One thing I disliked about SAP Datasphere is that while it is extremely capable for enterprise-scale data unification, the implementation and operational setup can become complex very quickly in real production environments like ours. At work, we use multiple operational systems across finance workflows, reporting platforms, customer analytics, and internally developed fintech applications. Bringing all of that data into SAP Datasphere required much more planning and governance alignment than we initially anticipated. A large part of the effort was not just technical integration, but also standardizing business definitions, reconciling conflicting datasets, and ensuring reporting consistency across teams. For example, transaction reporting, reconciliation dashboards, and operational KPIs were originally being calculated differently by finance, operations, and analytics teams. While SAP Datasphere ultimately helped centralize and govern those datasets effectively, building clean semantic models and optimized reporting layers took significant collaboration between data engineering and business stakeholders. Another challenge we experienced directly was performance tuning for complex analytics workloads. Standard dashboards and operational reporting worked well, but as teams started running cross-system analytics queries combining ERP data, operational metrics, and customer activity datasets, maintaining fast and consistent query performance required additional optimization work. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? SAP Datasphere solved one of the biggest operational challenges we were facing internally: fragmented and inconsistent data spread across multiple business systems. At work, our finance data, operational KPIs, customer reporting, compliance records, and product analytics were distributed across ERP platforms, cloud databases, BI environments, and internally developed fintech systems. Different teams often relied on separate reporting logic and disconnected datasets, which regularly created inconsistencies during operational reviews and leadership reporting discussions. One issue we repeatedly faced was during monthly reconciliation and compliance reporting cycles. Finance, operations, and analytics teams were pulling numbers from different systems, and even small mismatches between reports would trigger long manual validation exercises before decisions could move forward. After implementing SAP Datasphere, we were able to centralize and standardize those datasets into a more governed reporting layer, which significantly improved consistency and trust in the data being shared across departments. Another major improvement was visibility across teams. Product, operations, and leadership teams could access unified analytics dashboards without constantly depending on spreadsheet consolidation or engineering teams to manually prepare reports. That reduced reporting delays and made operational decision-making much faster. In day-to-day workflows, the platform helped create a more reliable data foundation for everything from transaction reporting and operational monitoring to executive-level business reviews, which had a direct impact on efficiency and cross-functional alignment. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Shashaank R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shashaank R.") SR Shashaank R. Student Research Assistant Small-Business (50 or fewer emp.) 5/3/2026 "Saves Time with Live Data Connections, but Setup Can Be Finicky" 3.5/5 What do you like best about SAP Datasphere? I like that I don’t have to move everything into one warehouse. It lets me connect live data from different places, which saves a ton of time. The modeling is pretty straightforward once you click around a few times. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? Same honest vibe: I don’t like how finicky the connection setup can be—it feels like every small error takes forever to track down and debug. The UI also sometimes lags or hides things I just used, which gets frustrating fast. And while it handles SAP data well, integrating non-SAP sources can be pretty clunky. The pricing model worries me too; I’m constantly second-guessing whether a query will unexpectedly spike costs. It works great when it works, but overall it’s not as smooth as I’d hoped. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? From my perspective, SAP Datasphere solves the headache of data silos and constant copying. Instead of moving everything into one warehousewhich wastes time and storage it connects live data across systems. That means fewer ETL pipelines breaking, and I can trust I’m looking at current info. The real benefit for me: faster answers without begging IT for extracts. I spend less time wrestling with data prep and more time actually analyzing. It’s not perfect, but the agility alone makes my day-to-day noticeably smoother. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite DC Delia Elizabeth C. Mid-Market (51-1000 emp.) 4/30/2026 "Efficient Automation with SAP Datasphere" 3.5/5 What do you like best about SAP Datasphere? I like that once the queries in SAP Datasphere are prepared and automated, I can schedule the 'refresh' to have updated data automatically. The queries that we automate and schedule work very well, which allows me to have a table already cleaned and transformed automatically every day. This allows us to save more than 70% of the time we used to spend downloading tables in SAP transactions and use that time for analysis and more productive tasks. The time savings really compensate for the investment we make in the product. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? At first, it is not so easy to understand and has a somewhat long learning curve for someone starting from scratch. Include default training at the beginning when the tool is going to be used. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? SAP Datasphere integrates data with SAP and consolidates information for intelligent use. It automates queries, scheduling automatic updates and saves more than 70% of the time we used before, allowing us to focus on analysis and more productive tasks. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: OrganicAI Translated ![Luís F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Luís F.") LF Luís F. Senior Software Engineer Small-Business (50 or fewer emp.) 2/17/2026 "Centralized Platform with Room for UI Improvement" 4/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More 4/27/2026 Validated ReviewerIncentivizedSource: G2 invite OM Oliwia M. frontend developer Small-Business (50 or fewer emp.) 4/26/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Simplified Data Integration with Business Context—But a Learning Curve" 3.5/5 What do you like best about SAP Datasphere? What I like most about SAP Datasphere is how it simplifies data integration across different sources while preserving business context, which makes analytics much more reliable and meaningful. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? While SAP Datasphere is very powerful, it can feel complex at times, and simplifying certain processes would make it even more efficient to use.It’s a powerful tool, but it can be a bit complex and not always the most intuitive at first, especially for new users without SAP background. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? SAP Datasphere addresses the challenge of fragmented data landscapes by unifying data from multiple sources into a single, governed environment. In many organizations, data is spread across different systems, which makes it difficult to ensure consistency, trust, and accessibility. Datasphere helps solve this by preserving business context and providing strong data modeling capabilities, allowing users to work with reliable, business-ready data. It also reduces the need for complex data replication, enabling more efficient data integration and real-time access. For me, this means spending less time on manual data preparation and troubleshooting inconsistencies, and more time focusing on analysis and delivering insights. It improves collaboration between technical and business teams, as everyone works on the same trusted data foundation. Overall, SAP Datasphere helps streamline data management processes, increases transparency, and supports faster, more informed decision-making in day-to-day work environments. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Roma B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Roma B.") RB Roma B. Nauczyciel Small-Business (50 or fewer emp.) 4/26/2026 "Clean, Intuitive UI and Seamless Integration Across SAP and Cloud Sources" 4/5 What do you like best about SAP Datasphere? I appreciate how SAP Datasphere brings together data from multiple SAP and non‑SAP systems in a unified, well‑structured environment. The UI is clean and intuitive, which makes modeling and exploring data far easier than in traditional warehouse tools. Its integration capabilities are a major strength—connections to SAP S/4HANA, BW, and cloud sources feel seamless and reduce the time spent on manual data preparation. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? While SAP Datasphere is powerful, it can feel overly complex for new users. The UI, though modern, sometimes hides key functions behind multiple layers of menus, which slows down navigation and data modeling. Integration with non‑SAP sources occasionally requires extra configuration or connectors that aren’t as seamless as advertised, adding setup time and maintenance overhead. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? SAP Datasphere helps centralize data that was previously scattered across multiple SAP and non‑SAP systems, reducing the time spent reconciling inconsistent datasets. With a unified semantic layer, it makes it easier for business teams to access and interpret data, which improves collaboration between technical and non‑technical users. Its integrations with S/4HANA, BW, and cloud applications also streamline data flows that previously required custom pipelines, cutting down on manual effort and ongoing maintenance. From a performance standpoint, the ability to virtualize or replicate data gives flexibility in how analytics workloads are handled, helping teams deliver insights faster. The platform also supports governance and lineage tracking, which reduces compliance risks and improves trust in reporting. These efficiencies translate into better ROI because analytics projects move from concept to delivery more quickly. The onboarding experience and guided modeling tools help new users ramp up without needing deep data‑engineering expertise. Meanwhile, the AI‑assisted modeling and transformation features support more intelligent data preparation, enabling teams to focus on analysis rather than plumbing. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Darek F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Darek F.") DF Darek F. web developer Mid-Market (51-1000 emp.) 4/26/2026 "Unified Data Modeling and Seamless Multi‑Source Integration" 4/5 What do you like best about SAP Datasphere? What I like best about SAP Datasphere is how easily it connects data from multiple sources without requiring complex integration work. The semantic layer and clear data modeling tools make it simple to maintain consistency across reports. Changes propagate quickly, which saves time and reduces errors. Overall, it streamlines data preparation and helps create reliable, unified analytics much faster. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? One of the main downsides of SAP Datasphere is that some integrations require additional configuration or rely on external tools, which slows down onboarding. Performance can also be inconsistent when working with larger datasets, especially during complex transformations. These issues sometimes interrupt the workflow and make it harder to maintain a smooth data pipeline. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? Before using SAP Datasphere, we struggled with scattered data sources and inconsistent reporting. Datasphere helps centralize our data and provides a unified semantic layer, which reduces manual preparation and eliminates discrepancies between teams. As a result, we can build analytics faster, automate more of the data pipeline, and make decisions based on reliable, up‑to‑date information. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Szymon F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Szymon F.") SF Szymon F. Application Development Analyst | Microsoft Dynamics AX Developer Mid-Market (51-1000 emp.) 4/23/2026 "Clean, Intuitive Data Unification with Strong Performance in SAP Datasphere" 3.5/5 What do you like best about SAP Datasphere? What I like best about SAP Datasphere is how it brings data from SAP and non‑SAP systems together in a unified, well‑governed environment. The interface is clean and intuitive, which makes modeling and exploring data straightforward even for mixed technical teams. Performance has been consistently strong, especially when virtualizing data without unnecessary replication. The onboarding experience is smooth thanks to clear workflows and strong integration with existing SAP landscapes. With the growing set of AI‑assisted features, it’s becoming even easier to build reliable, analytics‑ready datasets that accelerate business insights. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? The main downside of SAP Datasphere is that the UI can feel unintuitive at times, especially when navigating between modeling, connections, and spaces. Performance is generally good, but certain virtualized queries can be slow depending on the source system. Pricing can also be difficult to estimate, which makes ROI planning harder. Some onboarding steps require prior SAP knowledge, and the AI‑assisted features are still early in maturity compared to other platforms. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? SAP Datasphere helps us centralize and harmonize data coming from multiple SAP and non‑SAP systems, which used to be scattered across different teams and tools. By providing a governed, semantically consistent layer, it reduces the time spent reconciling KPIs and eliminates duplicate data preparation work. This has improved the reliability of our reporting and accelerated analytics projects, allowing business users to make decisions based on trusted, up‑to‑date information. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![AKHIL O.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "AKHIL O.") AO AKHIL O. Enterprise (\> 1000 emp.) 4/8/2026 "Centralized Data Management with Some Flexibility Challenges" 4/5 What do you like best about SAP Datasphere? I use SAP Datasphere as a centralized data platform to bring together data from different sources, making it easier to analyze and use for business decisions. It helps integrate data from both SAP systems and non-SAP sources, so everything can be accessed from one place without creating multiple disks. I appreciate that it addresses duplication, inconsistency, and confusion by providing a single platform where data can be integrated, modeled, and accessed in a governed way. I mainly use features related to data integration, modeling, and governance. The key tool I rely on is the data builder, which helps in creating data models, use, and transformation in a structured way. I prefer using it because it allows both rule-based transformations and graphical modeling, making it flexible depending on the use case. I also use the connections and data integration features to bring data from different sources, reducing the effort of building separate pipelines and keeping everything centralized. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? While SAP Datasphere is very powerful, there are a few areas where it could be improved. One challenge is flexibility compared to more open data platforms. For complex transformation or custom workflow, it can sometimes feel restrictive, especially if you are used to tools like Spark or Databricks, where you have more control over the logic and executions. Performance can also be a concern in certain scenarios, particularly when working with large datasets or complex models. Some queries or transformations may take longer than expected, and optimization options are not always task fair. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? I use SAP Datasphere to centralize and integrate data from various sources, solving the problem of fragmented data. It provides a consistent view for business decisions, reduces duplication, and grants access in a governed way, making analysis easier. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Elvis A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Elvis A.") EA Elvis A. Software Developer Mid-Market (51-1000 emp.) 4/7/2026 "Centralizes Data with Consistency, Minor Scale Challenges" 4/5 What do you like best about SAP Datasphere? I like how SAP Datasphere centralizes, models, and analyzes data from different systems, creating a unified data layer and enabling faster, more reliable reporting. It preserves SAP's business context while letting me combine data from multiple sources, making modeling faster and keeping everything consistent. I appreciate the handling of semantic modeling and data federation, allowing me to reuse SAP business logic and connect external sources without heavy ETL. The self-service modeling reduces back-and-forth with IT, and the interface is simple to navigate, making initial setup fairly easy. Review collected by and hosted on G2.com. What do you dislike about SAP Datasphere? Performing at scale, the complexity of the modeling layers, and the learning curve. SAP Datasphere can feel slow with large datasets, and managing Spaces, permissions, and semantic models sometimes becomes more complicated than necessary. Pricing based on consumption can also be unpredictable if you don't monitor usage closely. Review collected by and hosted on G2.com. What problems is SAP Datasphere solving and how is that benefiting you? I use SAP Datasphere to centralize and model data, solving fragmentation by maintaining SAP context and speeding up reporting. It reduces manual data prep and ensures data consistency, creating a unified data layer for reliable analysis. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ## Questions about SAP Datasphere? Ask real users or explore answers from the community Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights. [ Ask about SAP Datasphere ](https://www.g2.com/products/sap-datasphere/discussions/new) GU Guest User • Last activity over 1 year ago What is SAP Data Warehouse Cloud used for? 0 Upvotes 1 [ Join the conversation ](https://www.g2.com/discussions/what-is-sap-data-warehouse-cloud-used-for) [ View all Discussions ](https://www.g2.com/products/sap-datasphere/discuss) ## Pricing Insights Averages based on real user reviews. ### Time to Implement 5 months ### Return on Investment 11 months ### Perceived Cost $$$$$ [ View More Pricing Information ](https://www.g2.com/products/sap-datasphere/pricing) SAP Datasphere Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image") Snowflake 4.6/5(764) [ Compare Now ](https://www.g2.com/compare/sap-datasphere-vs-snowflake) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_5e530c81ef1a1d98fe6a0d6eede0397b/sap-bw-4hana.png "Product Avatar Image") SAP BW/4HANA 4/5(19) [ Compare Now ](https://www.g2.com/compare/sap-bw-4hana-vs-sap-datasphere) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_756e21e5ff45db664431b3ea10f16115/azure-synapse-analytics.jpg "Product Avatar Image") Azure Synapse Analytics 4.4/5(38) [ Compare Now ](https://www.g2.com/compare/azure-synapse-analytics-vs-sap-datasphere) ##### ##### SAP Datasphere Features Data Management Data Integration Data Integration Data Compression Security Data Governance Data Security Integration AI/ ML Integration BI Tool Integration Data lake Integration Deployment Cloud [ View More Features ](https://www.g2.com/products/sap-datasphere/features) ##### Categories on G2 [Data Warehouse](https://www.g2.com/categories/data-warehouse)[Data Fabric](https://www.g2.com/categories/data-fabric) ##### Explore More [What cloud security monitoring platforms actually cut down the manual checks security teams have to do across multiple cloud services every week?](https://www.g2.com/discussions/what-cloud-security-monitoring-platforms-actually-cut-down-the-manual-checks-security-teams-have-to-do-across-multiple-cloud-services-every-week)[Best-rated client success software for tech enterprises](https://www.g2.com/discussions/best-rated-client-success-software-for-tech-enterprises)[Best travel management software for small business](https://www.g2.com/discussions/best-travel-management-software-for-small-business) [Which brand protection software has the fastest time to value for mid-sized organizations while still meeting compliance and security requirements?](https://www.g2.com/discussions/which-brand-protection-software-has-the-fastest-time-to-value-for-mid-sized-organizations-while-still-meeting-compliance-and-security-requirements)[Which engineering document management platforms integrate with CATIA, SolidWorks and Pro/ENGINEER so design files stay linked to their documentation without manual synchronization?](https://www.g2.com/discussions/which-engineering-document-management-platforms-integrate-with-catia-solidworks-and-pro-engineer-so-design-files-stay-linked-to-their-documentation-without-manual-synchronization)[Pros and Cons Details](https://www.g2.com/products/sap-datasphere/reviews?qs=pros-and-cons) [Show MoreShow Less](javascript:void(0);)