I like the vision of connecting the operational world and the data world with semantics. The platform enables companies to get semantically rich data out of SAP and use it for analytics and AI to generate various business value cases. It helps connect the SAP world to the data world both with Rep flow and delta sharing. Review collected by and hosted on G2.com.

BDC is still UI heavy in a world where agents do the coding and it still feels super slow and funky. For me, the initial setup was easy since I'm familiar with the data world, but I wouldn't say it's easy overall. The vision is great but the execution is not. Review collected by and hosted on G2.com.

Possibility to unify SAP and third-party data while completely preserving its business context and semantics. It is a business data fabric that serves up real-time, business-ready data. Review collected by and hosted on G2.com.

The platform is highly technical and requires specialized SAP expertise. General data engineers often struggle, and building or adjusting data models typically requires dedicated IT or data teams rather than being intuitive for business users.Despite marketing itself as an open data platform, users find connecting to non-SAP systems surprisingly clunky. Integrating third-party data often requires manual workarounds, leading to concerns about vendor lock-in. Review collected by and hosted on G2.com.

I like how SAP Business Data Cloud makes it easy to manage the data sources through its UI. It's a major help for us because we can easily locate the datasources and alter and update them. I find the centralized data management useful and the ease of using the UI is a big plus. The bulk operations feature is a time saver, and I kind of like it. The UI allows us to edit any attribute of a product and also perform bulk uploads of changes, which is comparatively easy. It's reliable and minimizes errors since everything happens in front of our eyes naturally. Review collected by and hosted on G2.com.

I find the limitations on how many transformations I can do with the data sources quite restrictive. It works great for lookup tables and smaller tables, but when it comes to other tables that might need heavy transformations, it feels limited. It would be really helpful if we could use coding, like SQL queries, to manipulate complex data. I also think there should be better integration with servers and applications for import/export operations. Review collected by and hosted on G2.com.

I use SAP Business Data Cloud for looking at insights across various attributes like product, revenue, and customer. It helps me differentiate between SAP and Non-SAP data, and all the data being in one place allows for quick user insights and decision making. I enjoy product analytics on it because it's simple and user-friendly. I find the analytics features to be a lifesaver, especially when sharing product metrics with leadership. The advanced product analytics, along with ML models for churn, LTV, and cohorts, and its large-scale data processing capabilities are impressive. The UI is better, and the features seem exponentially higher compared to Mixpanel. Review collected by and hosted on G2.com.

Modeling steps could be simplified. I feel it's mixing everything by not separating the data into fact and dimension tables. Review collected by and hosted on G2.com.

SAP Business Data Cloud is particularly valuable for enterprises that rely heavily on SAP applications, as it delivers a unified, trusted data foundation across the SAP ecosystem. It integrates data smoothly from systems such as SAP S/4HANA, SAP SuccessFactors, SAP Ariba, and SAP Customer Experience, helping reduce data silos and limiting the need for complex integration work.

By preserving the business context and semantics from SAP applications, organizations can work with consistent, business-ready data for analytics, planning, and AI initiatives. This supports faster decision-making, stronger data governance, and more accurate insights, while enabling business users to rely on trusted information without requiring extensive data preparation. Review collected by and hosted on G2.com.

While SAP Business Data Cloud provides strong, end-to-end integration across the SAP ecosystem, some organizations may still run into challenges around cost, complexity, and vendor dependency. The platform tends to deliver the most value when a company is already deeply invested in SAP technologies, which can make it less appealing for businesses operating in more diverse, non-SAP environments.

Implementation and ongoing governance often require specialized SAP expertise, and licensing costs can be substantial, especially for large-scale deployments. Additionally, organizations may find themselves more tightly tied to SAP’s roadmap, data architecture, and cloud services, which can limit flexibility when considering or adopting alternative analytics, data management, or AI platforms. Review collected by and hosted on G2.com.

I really value SAP Business Data Cloud for its highly valued functionality, allowing me to govern and contextualize data from SAP and non-SAP sources. It creates a trusted foundation, reducing data extraction costs, and offers seamless integration with SAP Data Studio. These features bring consistent data definition, stronger compliance, and security controls, enabling real-time data support and providing a better architecture. The trust in analytics and reporting is better, which helps avoid duplication and duplicate efforts. Review collected by and hosted on G2.com.

I would say there's a bit of complexity in its setup and architecture. Learning curve can sometimes be kind of a tedious process, considering that it has advanced modeling and requires deeper training. Obviously, the cost considerations take a lot of performance tuning. While documentation exists, it's the real-world use cases that can sometimes be improved. I would say it would accelerate decision making and reduce experimentation time. The initial setup was manageable, but not exactly like a plug and play. Certain things needed more effort like architecture planning, non-SAP integration, and the skill gap learning curve. The IT cost and complexity in its architecture for those aspects. Review collected by and hosted on G2.com.

I like how SAP Business Data Cloud provides a unified, governed, and analytics-ready data foundation across SAP and non-SAP systems. The seamless integration with the SAP ecosystem, especially core applications like SAP S/4HANA and SAP BW, makes accessing business-critical data straightforward. I appreciate having a single source of truth, which centralizes data and ensures consistent and reliable data across reports and teams, greatly reducing discrepancies and improving trust in analytics. The platform offers analytics-ready data that is well-structured and modeled, reducing the need for heavy preprocessing. Its strong data governance and security features include robust access controls and data lineage, ensuring data is secure, compliant, and traceable. The scalability and performance of SAP Business Data Cloud are impressive, as it can efficiently handle large volumes of enterprise data and support growing analytics needs. Additionally, it reduces data engineering efforts by simplifying data integration, modeling, and management, allowing teams to focus more on generating insights. Review collected by and hosted on G2.com.

While SAP Business Data Cloud from SAP SE is very powerful, there are a few areas where it could be improved: 1. Initial Setup and Learning Curve - The platform can be complex for new users, especially those unfamiliar with the SAP ecosystem, which slows down onboarding. 2. Performance with Very Large or Complex Queries - Query performance can sometimes be slower for complex transformations or very large datasets. 3. Limited Flexibility Compared to Custom Data Platforms - It may be less flexible than fully custom-built data architectures for specific use cases. 4. Integration with Some Non-SAP Systems Can Require Extra Effort - Integrating certain third-party or legacy systems may need additional configuration. 5. Monitoring and Troubleshooting Could Be More User-Friendly - Debugging and identifying root causes is not always straightforward. 6. Cost Can Be a Consideration - Licensing and operational costs may be high for smaller teams or organizations. Review collected by and hosted on G2.com.

I like that SAP Business Data Cloud provides a single, trusted view of data across the company. It's really helpful that we no longer have to stitch together numbers from different systems and hope they reconcile, as the data is modeled, standardized, and governed in one place. The biggest difference for me is how much smoother the day-to-day work feels. Review collected by and hosted on G2.com.

I find the complexity and learning curve of SAP Business Data Cloud quite a challenge. The platform is powerful, but the concepts like data products, semantic layers, and governance models aren't always intuitive for business users. The initial setup was fairly structured, but data modeling, harmonization, and governance design were especially challenging. Review collected by and hosted on G2.com.

What I like best about SAP Business Data Cloud is that it brings together governed data, SAP business context, analytics, and AI in one place. That makes it much easier to trust the data, break down silos, and turn insights into action faster across the business. Review collected by and hosted on G2.com.

What I dislike most about SAP Business Data Cloud is that it can feel complex to understand at first, especially for new users. The learning curve, setup effort, and dependency on the broader SAP ecosystem can make adoption slower than expected for some teams. Review collected by and hosted on G2.com.

I like the ability of SAP Business Data Cloud to create a single trusted data foundation across systems without heavy duplications. The seamless integration with SAP applications makes reporting faster, more reliable, and scalable. This helps teams move from reactive analysis to data-driven and insightful decisions. I appreciate its unified data modeling, built-in governance, semantic layers, real-time replication, and seamless integration with SAP ERP and analytics tools. These features ensure consistent metrics, accurate reporting, faster insights, and confident data-driven decisions across teams. Review collected by and hosted on G2.com.

The setup can be complex, especially for hybrid landscapes. Licensing clarity, cost transparency, and initial data modeling effort could be improved. Performance tuning sometimes requires specialized expertise, which can slow down smaller teams and adoption. Review collected by and hosted on G2.com.