SAP Business Data Cloud Reviews

My primary use case for SAP Business Data Cloud is understanding and analyzing business data from multiple sources to generate insight for decision-making. As a part of my certification learning, I focused on how SAP Business Data Cloud integrates data, maintains business context, and supports analytics through datasphere and SAP Analytics Cloud.

For example, in one scenario, I explored how sales, customer, and operational data from different systems can be unified into a trusted data layer, which can be used to create multiple dashboards and business reports. This helped me understand how organizations can improve reporting accuracy and make faster data-driven decisions.

What stood out to me most was the capability to work with a unified business data cloud while maintaining business context. Instead of looking at isolated data sets, the platform helps connect information from different sources, which makes reporting more meaningful and easier to understand.

I also appreciated how dashboards can provide a single view of key business metrics, making it easier to identify trends and support decision-making. From a learning perspective, the integration between data management and analytics was particularly impressive. One challenge I faced initially was understanding the overall architecture and how components such as SAP Datasphere, data models, and analytics fit together.

Since I am relatively new to this platform, there was a learning curve, but once I understood the data flow, it became easier for me to work with it.

To some extent, my experiences are mainly through training and learning scenarios, but SAP Business Data Cloud helped me understand AI and machine learning that can be applied to trusted business data rather than isolated data sets. Given my background in AI, NLP, and data analytics, one of the use cases that stood out to me is combining business data with predictive analytics to support forecasting and trend analysis.

For example, in my sentiment analysis and market forecasting project, I could see how a platform such as SAP Business Data Cloud could provide governed, high-quality data to improve reliability on AI models and business insights. Another use case was executing reporting and decision support where AI-driven insights can help identify patterns, anomalies, and opportunities more quickly than traditional reporting methods.

What I found most valuable was the connection between AI capabilities and trusted enterprise data. It reinforces the idea that successful AI projects depend not only on the model itself but also on the quality, governance, and business context of the underlying data.

Overall my experience has been positive, but I think SAP Business Data Cloud could be further improved on onboarding experience for new users, because the platform brings together multiple concepts such as data integration, governance, modeling, and analytics. There can be a learning curve for people who are new to the SAP ecosystem.

I would also appreciate more guided tutorials and examples and learning resources focused on real-world business scenarios. That would help new users become productive more quickly. Another area of improvement could be simplifying the configuration and modeling processes, especially for users coming from a non-SAP background. Making these workflows more interactive would improve adoption and reduce the time required to get started.

One area that could continue to evolve is AI experience. SAP Business Data Cloud already provides a strong foundation with trusted business data, but additional AI-driven recommendations, automated insights, and natural language analytics could make it even easier for business users to extract value from the data.

I also think expanding and simplifying integration with a wider range of third-party platforms and data sources would be beneficial, especially for organizations operating in a hybrid environment with both SAP and non-SAP systems. Overall, the platform is very strong in data management and analytics. The improvements I would appreciate are mainly around making advanced capabilities more accessible and reducing complexity for new users.

I have been working in the current field for twelve months. I have been building experience in analytics, AI, and cloud technologies for approximately a year through internships, projects, and certification, including SAP Business Data Cloud.

SAP Business Data Cloud was stable in my experience. During my training and hands-on exercises, I did not experience any significant downtime or reliability issues. Most challenges were related to learning the platform rather than platform performance.

Based on my training and understanding of the platform, SAP Business Data Cloud appears highly scalable. Its cloud-native architecture allows organizations to grow their business and analytics capabilities while maintaining governance, performance, and business context.

I did not directly interact with SAP Business support because my experience was all through certification training. However, I found documentation and learning resources helpful and comprehensive. More beginner-focused examples and real-world scenarios would make the learning experience even better.

Before learning SAP Business Data Cloud, I primarily worked with SQL, Python, Tableau, Excel, Google Cloud, and AWS-based solutions for analytics projects. I was not migrating from another enterprise data platform. SAP Business Data Cloud was my first-hand experience and exposure to a comprehensive enterprise data management and analytics platform.

I do not have production ROI metrics because my experience was in a training environment. However, it improved my efficiency in understanding data integration and analytics workflow, reduced the time needed to understand complex data architecture, and strengthened my abilities to work with data-driven projects.

I do not have direct experience with pricing or licensing because I have used SAP Business Data Cloud in a training environment. From my understanding, it is an enterprise-focused solution where costs can depend on usage, scale, and required capabilities. I was not involved in evaluating and negotiating licenses.

I was not involved in the formal evaluation process. I was familiar with solutions such as Snowflake, Google BigQuery, and Azure Data Services, but I chose to learn SAP Business Data Cloud because of its strong focus on enterprise data integration, governance, and analytics within the SAP ecosystem.

Since my experience with SAP Business Data Cloud has primarily been through certification training and learning projects, the biggest impact has been made on my understanding of enterprise data management and analytics.

One specific benefit was gaining a clear understanding of how organizations can integrate data from multiple sources into a single trusted environment for reporting and decision-making. It also improved my knowledge of data governance and data modeling and analytics workflow. From my project perspective, my background in data analytics and AI has become easier to connect with real data use cases. For example, I was able to better understand how business data could be structured and analyzed to support forecasting, trend analysis, and executive reporting.

While I do not have production metrics to share, it has significantly improved my ability to work with data-driven solutions and enterprise analytics concepts.

It definitely increased my confidence in handling enterprise analytics concepts. Before learning SAP Business Data Cloud, I mainly focused on the technical side of data analytics, such as data processing, machine learning, and visualization. Through SAP Business Data Cloud, I gained a better understanding of how data is managed and governed at the enterprise scale. As a result, I now approach projects with a stronger focus on data quality, integration, and business context, rather than just analytics itself. This helped me think more strategically about how data supports business decisions.

In terms of efficiency, having a structured framework for understanding data flow and data analytics processes reduced the time I spend on trying to connect different pieces of information. It also improved the quality of my work because I became more aware of the importance of trusted and well-governed data when generating insights.

The features that stand out the most to me are the ability to unify SAP and non-SAP data while preserving business context. This helps me create a trusted data foundation for analytics and reporting. Another feature I found valuable is the integration with SAP Datasphere, which makes data modeling, governance, and access management more streamlined.

I also appreciate the data analytics capabilities through SAP Data Cloud and SAP Analytics Cloud, where users can create dashboards and gain business insights from a single platform. Finally, the platform's support for AI and advanced analytics is very promising because organizations can use high-quality, governed data for forecasting, planning, and intelligent decision-making.

From my experience, the overall process was fairly straightforward. Once I understood the platform architecture and the relationship between SAP Datasphere and the analytic layer, the interface is designed to help users organize and model data in a structured way. The main challenge for me was the initial learning curve. Since SAP Business Data Cloud includes concepts such as data modeling, governance, semantic layer, and data integration, it took some time to understand how everything connects. However, after working through training exercises and other use cases for creating data models and building dashboards, it became much easier.

One additional feature I would highlight is the governance aspect. Having trusted, well-managed data is extremely important for analytics and AI use cases. SAP Business Data Cloud does a good job of maintaining data quality and business context across different sources.

One concept I found most valuable during my SAP Business Data Cloud training was its focus on preserving business data context and data segments. Rather than simply moving data from one system to another, the platform helps maintain meaningful relationships and business definitions associated with that data. In my training scenario, I learned how SAP Datasphere and the business data fabric approach ensure that the data remains consistent when it is integrated from different sources.

It reduces the risk of different teams interpreting the same data in different ways. What I found particularly helpful was the emphasis on data modeling, governance, and semantic layers. These capabilities help me maintain consistent business definitions and relations across systems, which is important for accurate reporting, analytics, and AI-driven insights.

Although my experience was in a training environment, I saw the value of connecting SAP Business Data Cloud with external platforms because it helped me reduce data silos and create a more unified view of business information. The biggest benefit is the improvement in data sharing, integration, and access to analytics across different systems.

On a scale of one to ten, I would rate SAP Business Data Cloud an eight out of ten. The platform provides strong capabilities for data integration, governance, analytics, and maintaining business context. I particularly appreciate its unified approach to enterprise data and its potential for AI-driven insights. The reason I would not give it a higher score is the learning curve for new users and some complexity around the set modeling. Overall, it is a very capable platform with a lot of value for organizations managing large-scale business data.

My advice is to start with a clear business objective and invest time in learning the platform architecture and data governance concepts. The learning curve is manageable with training, and the platform offers strong capabilities for data integration, analytics, and AI when used efficiently. I rate SAP Business Data Cloud an eight out of ten overall.

My main use case for SAP Business Data Cloud is to unify and manage enterprise data from SAP and non-SAP sources primarily for reporting, BI, and data integration.

A specific example of how I use SAP Business Data Cloud is for the consolidation of our SAP ERP system with business applications into SAP.

The best features SAP Business Data Cloud offers are unified data access, data governance, and data integration.

I find the unified data access feature most valuable day-to-day due to its strong governance and seamless integration with SAP, which helps support reporting and AI from a trusted data foundation. These features help reduce data errors and improve speed, accuracy, and business insights.

SAP Business Data Cloud has positively impacted my organization by improving data access and reporting through a centralized and governed data platform. Previously, teams spent significant time collecting and reconciling data from multiple systems, but now reporting becomes faster and more consistent, enabling better collaboration between finance and sales.

Since implementing SAP Business Data Cloud, reporting has become 30 to 50 percent faster as business data no longer needs to be manually consolidated from multiple systems. Additionally, we see fewer data inconsistencies due to standardized data storage, improving collaboration among finance, sales, and operations teams working from the same trusted data source. This helps management make faster and more accurate decisions.

I would like to see simpler deployment and out-of-the-box integration with non-SAP systems, as well as enhancements to the self-service analytic features in SAP Business Data Cloud. These improvements would reduce implementation effort and make the platform more accessible for business users.

I have been using SAP Business Data Cloud for the last two to three years.

SAP Business Data Cloud is stable and has been reliable for us, showcasing stable performance, good availability, and consistent results for our reporting and analytics needs.

The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues, making it adaptable to changing business needs.

Customer support for SAP Business Data Cloud has generally been positive, as we have received timely assistance with most issues, and complex cases have been handled effectively through SAP's escalation process.

I would rate customer support for SAP Business Data Cloud an 8 out of 10.

We did not use any other solution prior to this; from day one, we have been using SAP Business Data Cloud.

The setup cost for SAP Business Data Cloud was moderate to high, as expected for an enterprise platform. The licensing process was straightforward once our requirements were defined, and the operational benefits helped justify the investment.

We have seen a return on investment through time savings and efficiency rather than fewer employees; reporting has become 30 to 50 percent faster, and manual efforts have decreased, allowing teams to spend more time on analytics instead of data collection and reconciliation.

The setup cost for SAP Business Data Cloud was moderate to high, as expected for an enterprise platform. The licensing process was straightforward once our requirements were defined, and the operational benefits helped justify the investment.

Before choosing SAP Business Data Cloud, we evaluated options like Snowflake, Data Battery, and Microsoft Azure data services. We chose SAP Business Data Cloud because it integrates with our SAP landscape and provides stronger governance from the data.

My advice for others looking into using SAP Business Data Cloud is to focus first on business goals, prioritize data quality and governance, and start with a few high-value use cases. This approach helps demonstrate value quickly and makes implementation smoother. I would rate SAP Business Data Cloud an 8 out of 10 overall.

Public Cloud

Amazon Web Services (AWS)

SAP Business Data Cloud solution's main use cases center on AI-infused analytics. Previously, SAP Datasphere and SAP Analytics Cloud provided data analytics based on available data. However, when we want to incorporate non-SAP related data such as inflation prices, shipment delays, or currency exchange rates, we can now infuse these data points with our SAP data to identify lead times, shipment delays, vendor performance, or actual revenue based on currency conversion. These challenges are being resolved because we brought external, real-world data into our Databricks environment, processed it with algorithms, and then displayed the results on the SAP Analytics Cloud dashboard.

The improvements to our organization are significant. We can now integrate external data sources with our internal SAP systems to gain deeper insights into vendor performance, supply chain delays, and financial metrics affected by currency fluctuations. This capability enables us to make more informed business decisions based on comprehensive data analysis.

SAP Business Data Cloud has two most valuable features. First, the platform now includes a designed workflow that enables data to move from one place to another in a more manageable way, whereas previously the environment lacked this flow. Second, the data products represent a significant advancement. Previously, SAP provided business content that required installation and manual data pulling, though it came pre-configured. Now, the data products offer more manageable, refined, and usable work. This approach encourages adopting the standard version rather than pursuing customization, as SAP provides support for standard versions.

Third, the increased customization capabilities allow us to implement algorithms and develop solutions with greater freedom. We have the flexibility to program anything, bring in any data, or conduct analysis with more autonomy than ever before.

We have only scratched the surface of benefits from using SAP Business Data Cloud because it is new for us as well. SAP Business Data Cloud market does not have many available resources, so we brought in resources to train our team. For training purposes, we brought in international currency exchange data and shipment delays data related to ongoing geopolitical situations. We are currently processing this data with our open purchase orders and shipment information to identify what analyses we can perform. Although we have these capabilities available, we have not yet enthusiastically begun using them, but this will be included in our next quarter plan.

In my opinion, SAP Business Data Cloud could be improved in the availability of Joule, which is more focused towards data products. However, if Joule becomes more feasible with custom products, I believe that would significantly improve SAP Business Data Cloud and the AI roadmap that SAP is planning.

I have been working in the SAP analytics field for around seven years.

Regarding stability and availability of SAP Business Data Cloud, the system tenant availability is very good. We do face issues during quarterly releases when systems occasionally go down, but this occurs very rarely. Other than during these quarterly release periods, the availability is excellent.

The scalability of SAP Business Data Cloud solution is excellent because I have reviewed the roadmap extending to 2040 that SAP announced. Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed. Previously, the components were scattered around, but now there is a comprehensive roadmap available.

On a scale of one to ten, I would rate SAP's customer service and support as six.

My experience with deployment of SAP Business Data Cloud is that there were not many requirements. It is essentially a tenant setup requiring licensing only. We already had licensing for SAP Datasphere and SAP Analytics Cloud, so we simply switched off from one side and switched on to the other side, and then SAP Business Data Cloud became available. There were not many requirements for the deployment itself. However, I must note that the process is quite lengthy. When it comes to purchasing or licensing, the account manager available in Saudi Arabia takes much longer to process. When we have requirements, we want to close them as soon as possible, but the process took a few weeks or even months. This represents a drawback.

I started utilizing SAP Business Data Cloud this year because we changed our licensing category from an individual category to SAP Business Data Cloud. The name itself was announced this year. Previously, it was not a complete package; it operated as silos with SAP Datasphere as one component, SAP Analytics Cloud as a separate component, and SAP Joule as another separate component. From 2026, and in late 2025, SAP announced the launch of SAP Business Data Cloud as a complete package. The installation approach is different now. Previously, we purchased licenses through SAP BTP, but now there is another platform where we can buy licenses. SAP now provides a complete package as SAP Business Data Cloud.

I would assess the AI features of SAP Business Data Cloud as follows: previously, there were already two or three AI features available. We are currently using Joule as an SAP AI feature, which has natural language processing capability. Joule processes data based on the NLP model and provides analysis based on our requirements and scripts.

Regarding SAP Business Data Cloud's ability to eliminate silos between agents, the answer depends on who we call agents. Agents could be people from outside the organization or from inside the company, and this question contains some ambiguity.

I find that analytical agility in SAP Business Data Cloud is fundamentally about data products. In the agile framework, we have continuous delivery and cannot wait on a waterfall framework for one-by-one delivery. The agility is excellent and has improved significantly compared to the business content approach, which came with certain flaws. For example, some objects that were previously available were not synchronized between systems, with some available in S/4HANA and others not. We had to address these issues. The agility has genuinely improved in this version.

Our company absolutely uses Universal Business Context capability. We have been developing a product that could be utilized as a data product and as a third-party product available globally. If someone needs to use it, they can acquire or import our content and utilize it for their business scenarios or context.

This feature helps in maintaining data meaning and relationships across systems. It is not based solely on data but on architecture, where we develop an architecture that pulls data from our system. When we move toward third-party exportation, the data remains with us, and only the architecture or the flow becomes available to the other parties.

I have not used SAP Business Data Cloud Connect for data integration with partner systems.

We have used the data modernization features in our SAP Business Data Cloud system.

We do not have SAP BW objects because ours was a greenfield implementation. We directly started our journey from SAP Business Data Cloud. If we had BW, we would have used the BW bridge object.

SAP Business Data Cloud support for AI and ML has enabled new use cases in my company by providing amazing freedom to develop algorithms that were previously not available with SAP. Even in SAP Datasphere, we could bring non-SAP data, but we could not build AI-infused algorithms. However, in Databricks within SAP Business Data Cloud, we can write ML algorithms, train our models, have test cases available, bring in data sets, and have access to these capabilities. It provides so much freedom.

We are currently working with Microsoft, but we have not started with Snowflake because we already have SAP Datasphere, so we did not pursue Snowflake.

SAP Business Data Cloud is integrated with Microsoft. It is connected with Microsoft SQL Server to bring in non-SAP data.

This integration has affected my data processes in that it did not negatively impact data processing. However, the integration was quite difficult because SAP manages its own security, and we faced issues at the firewall level for whitelisting external IPs, as SAP handles this when a public cloud is available. We faced some difficulties at the firewall level, but the information provided in their guidance and help guides was clear. Overall, we integrated seamlessly.

For SAP HANA Cloud, we are using integration through CPI. We are using it, but not directly through SAP Business Data Cloud.

We have researched the Data Product Studio in SAP Business Data Cloud, but we have not begun using data products as a live feature. However, we are planning to use data products in a new quarter.

My advice to someone researching SAP Business Data Cloud is to consider whether you already have a source system or an SAP ERP in place. If so, I would strongly recommend SAP Business Data Cloud because the ecosystem it builds creates seamless integration between your source system and destination. You will not face connection and integration challenges, which is crucial in analytics as we need real-time analysis available for our data. SAP Business Data Cloud provides a very seamless experience. Additionally, the features SAP provides exceed what the market typically offers. The market usually provides either analysis or a planning tool. Within SAP Business Data Cloud, we have three things: AI-infused capabilities, analytical features, and planning tools all available. Within one package, we gain three benefits within the ecosystem. This is why I would strongly recommend SAP Business Data Cloud. I rate this solution eight point five overall.

SAP Business Data Cloud serves as a pass-through solution for data in my project engagement. Whenever data needs to be fed from both SAP and non-SAP data sources, I use a functionality called Datasphere, which is now part of SAP Business Data Cloud, to pass the data through and expose it to different types of visualization tools, which could be both SAP and non-SAP.

In a particular scenario, the client needed historical data maintained in an Excel file, which is a non-SAP data source, along with actual data maintained through SAP S/4HANA standard tables. I created a pipeline and an analytic model in Datasphere that makes a union of data coming from the Excel file. I created a CDS view to obtain the actual data from SAP's standard extractors and standard tables. The CDS view and the data coming from Excel are unioned together, resulting in an analytic model that contains both historical and actual data. The data is passed through to SAC reports through a live connection, which provides real-time insights into this data. SAC stands for SAP's analytics cloud tool, and the data could alternatively be passed to non-SAP tools such as Power BI or Snowflake.

SAP Business Data Cloud is in partnership with Databricks now, which has made it easier to create AI-based models. That responsibility falls to Datasphere itself, which completes SAP Business Data Cloud. One of its biggest advantages after its merger with Databricks is that I can create models out of the views created in Datasphere, which can then be used in Databricks to create AI models. Those AI models can then be exposed to different kinds of tools. This is probably one of the biggest additions in SAP Business Data Cloud nowadays, though I am not certain how far it has reached because there are very few instances of such scenarios in real-time at the moment. However, I believe this is where Databricks and SAP Business Data Cloud see themselves heading in the future.

The biggest feature of SAP Business Data Cloud is replication flow. Replication flow can replicate data from any source into any source in delta as well as full form. It does not matter if data is being fetched from a non-SAP source and delivered to a non-SAP source; replication flow can be used. It is a technique and a kind of alternative in Datasphere where I can choose to do either a full upload or a delta upload. That is one of the biggest strengths of Datasphere.

Replication flow specifically helps my team by allowing us to fetch data from various sources without creating many objects. In that single object created, I can fetch data from multiple sources all at once, irrespective of what their source system is. Once the data is replicated, it can be fetched to any other source desired, whether it is SAC or a non-SAP visualization tool. This makes the task easier because not only do I not have to worry about creating many objects, but I can also ensure that the data is loaded all at once.

Apart from replication flow, data governance is also one of the strengths of SAP Business Data Cloud. I can see the complete data lineage of my model from beginning to end, and I can pick and choose any of the models desired. I can preview the data or the structure of that model anytime. In one complete screen, I can get the complete lineage of the flow, which is one of the biggest advantages in SAP Business Data Cloud.

SAP Business Data Cloud has provided centralized access in respect of the data governance part. It has managed to provide real-time insights due to its live reporting, and it has provided a unified, comprehensive interface wherein the data is in harmony, whether it is SAP or non-SAP. I manage to get harmonious data in every instance. At the very least, it is an AI-ready data platform, so in the future, if there are any AI-specific results desired, SAP Business Data Cloud's merger with Databricks makes that very possible. I can see it being a very interactive and AI-driven entity in the future.

SAP Business Data Cloud needs to be more reasonable in terms of costing. There is a new condition that SAP has provided to new clients desirous of purchasing SAP Business Data Cloud licensing, which is that they can only purchase it as a whole, including Datasphere and SAP Analytics Cloud. If clients desire to purchase only Datasphere or only SAP Analytics Cloud, they would not be entertained. This is one thing that could be improved. Secondly, SAP should try convincing clients to move to SAP Business Data Cloud with a more aggressive mindset so that SAP S/4HANA and SAP BW or SAP BW/4HANA become obsolete, and reliance is only on SAP Business Data Cloud for all reporting.

The user experience with SAP Business Data Cloud is satisfactory; it is a very user-friendly interface. Regarding the technical aspects, I feel they need to inculcate more flexibility when it comes to using Databricks. Currently, Databricks is only being merged for the purpose of creating AI models. If Databricks could be merged for ERP purposes as well, it could benefit them significantly because petabytes of data could be processed in seconds, something that Databricks is well equipped to do. Expanding Databricks' involvement would be very helpful.

I have been using SAP Business Data Cloud for almost a year.

Every time there was a particular report that used to be very slow, SAP Analytics Cloud and SAP Business Data Cloud managed to improve its performance. I was able to performance-tune it well and provide data to commonly used external sources such as Azure, Snowflake, and Power BI. This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.

SAP Business Data Cloud has a very layered and scalable architecture. It can easily be changed in the future if the client wants any major or minor changes to happen in its reports.

SAP is quite serious about making SAP Business Data Cloud its future. If any request or incident is raised to SAP for SAP Business Data Cloud, they are very active in their response.

Previously, the team used a completely non-SAP solution called Oracle E-Business Suite. It obviously had no AI capabilities and did not have the kind of data governance that Datasphere and SAP Business Data Cloud provide, which is why we switched.

Only SAP-specific options were evaluated since I am an SAP consultant. Nothing else was evaluated, but Datasphere and SAP Business Data Cloud CDS views built up on BW/4HANA were considered. Given the client's interest in investing in AI in the future, SAP Business Data Cloud was selected, considering that Datasphere was quite developed by the time I joined the project.

If data is coming from different types of sources and needs to be delivered to Azure, Snowflake, or any other kinds of sources, SAP Business Data Cloud would be a very logical solution. It is one of the best solutions for maintaining data integrity from different types of sources and delivering it to all the major ERP tools.

SAP Business Data Cloud is a new tool that is already evolving. I think we should all be excited to see where it is heading and how much potential it has.

Considering the robustness and reliability of the solution, SAP Business Data Cloud's merger with Databricks enhances its accuracy and reliability. It is constantly learning, so the more AI models it comes across, the more accurate and reliable it gets.

In terms of SAP Business Data Cloud's governance and security, it is very robust. Its data security is totally dependent on authorizations, and it is rigid in ensuring that spaces, objects, and reports are all authorization-relevant so that not anybody can access anything. In terms of governance, it can easily be governed because the complete flow of all the objects can be seen in a single screen. I would rate this review an 8 overall.

SAP Business Data Cloud serves as a central data platform while integrating with the data sources across both cloud and on-premises systems. This gives me the flexibility to work with the data regardless of where it resides.

I use SAP Business Data Cloud in a hybrid environment, and my primary cloud provider is Microsoft Azure. The platform integrates data from multiple sources, and Azure has worked well for scalability, connectivity, and data management requirements.

I have used SAP Business Data Cloud Connect to integrate data with external partners for data sharing. The biggest benefits have been faster access to information, fewer manual steps, and more consistent data across systems. Overall, it has made data sharing more reliable and efficient.

The integration between SAP HANA Cloud and SAP Business Data Cloud has helped simplify data management by making data more flexible and consistent across platforms. It reduces manual effort, improves data quality, and supports faster reporting and analytics.

I have used the Data Product Studio in SAP Business Data Cloud to help organize and manage data products more efficiently. It provides better visibility, governance, and consistency, making it easier for teams to find and use trusted data.

The best features SAP Business Data Cloud offers in my experience are data integration, centralized data management, and analytics. What stands out most is the ability to bring data from multiple sources into one platform, which makes reporting more efficient and provides better business insights.

The data integration and centralized management feature of SAP Business Data Cloud has definitely made things easier. One of the biggest benefits is that my team spends less time collecting and validating data from different systems. Since the data is already centralized, reporting and analysis can be completed much faster. I have also seen fewer errors because using the common platform improves confidence in the data and reconciles information from multiple sources.

Using SAP Business Data Cloud, I was able to bring that data together in a centralized platform, which improves data consistency and makes reporting more efficient. This helped my business users access insights more quickly and reduces the time spent gathering and validating data.

I have seen better access to data and more efficient reporting since the implementation of SAP Business Data Cloud. By centralizing information from different systems, SAP Business Data Cloud has reduced manual effort, improved data consistency, and helped teams make decisions more quickly.

The accuracy of SAP Business Data Cloud helps surface insights more quickly and reduces manual effort. I still review important decisions, but I have not noticed any major issues with the quality of the output.

SAP Business Data Cloud does a good job of using my organization's data to provide relevant insights. The outputs are generally accurate because they are based on centralized business data, although I still validate important decisions and reports before acting on them.

Using the self-service analytics features in SAP Business Data Cloud has helped me change my data models quickly. The self-service analytics feature allows users to work with data more independently, which reduces reliance on technical teams and speeds up reporting and decision-making. I have seen faster access to insights and quicker response to business needs.

I use SAP Business Data Cloud to centralize and standardize the data from different systems. This helps maintain consistent definitions and relationships across data sets, which improves reporting accuracy and ensures everyone is working from the same source of truth.

The AI and ML capabilities of SAP Business Data Cloud have helped me gain insights from data more quickly and reduce manual analysis. They have improved reporting and helped business users make faster, more informed decisions.

For improvement, I would like to see more customizable dashboards, better reporting flexibility, and additional automation for data management tasks in SAP Business Data Cloud.

I gave it a nine because it has improved data integration and reporting significantly. The only reason it is not a ten is that I would like to see more reporting flexibility and automation.

I have been using SAP Business Data Cloud for about a year, primarily for data integration, reporting, and analytics.

SAP Business Data Cloud has been stable in my experience. I have not had any major downtime, and it has been reliable for reporting, analytics, and data integration activities.

SAP Business Data Cloud has scaled well for me. As my data volumes and reporting needs have grown, the platform has continued to perform reliably and support my requirements without major issues.

Customer support for SAP Business Data Cloud has been good overall. The team is knowledgeable and responsive, and most issues are resolved in a reasonable amount of time. For more complex cases, it can take a bit longer.

I would give customer support for SAP Business Data Cloud an eight out of ten. The team is responsive and knowledgeable, though complex cases can sometimes take a bit longer to resolve.

I do not have exact metrics, but I have definitely saved time by reducing manual data collection and reporting effort. The biggest benefits have been improved efficiency, better data consistency, and faster access to business insights.

I believe options from Microsoft and other data analytics firms may have been considered before choosing SAP Business Data Cloud, but I was not personally involved in that evaluation, so I cannot comment on the details.

I would recommend having a clear data strategy before implementation and focusing on the business outcomes you want to achieve with SAP Business Data Cloud. If your organization needs to centralize data and improve reporting and analytics, SAP Business Data Cloud is definitely worth considering.

I believe I have covered the key points about SAP Business Data Cloud. SAP Business Data Cloud has helped improve data accessibility, reporting efficiency, and decision-making. While there is always room for improvement, my overall experience with the platform has been very positive. I would rate this review a nine out of ten.

Hybrid Cloud

Microsoft Azure

Our main use case for SAP Business Data Cloud is that we are migrating from SAP BW for BW on HANA 7.5 Azure to SAP Business Data Cloud.

Currently, we are on version SAP BW for HANA SAP, specifically SPS 7.5 SPS 23 version, and our main objective is to migrate and upgrade our version to SPS 31 on SAP Private Cloud Edition. We will then be consuming SAP Business Data Cloud functionalities including data products and intelligent applications after we are on SAP Private Cloud Edition.

Regarding our use case and how we are planning to use SAP Business Data Cloud, we will be migrating our existing info providers or data providers into data products through the Data Product Generator. Whenever there is a new requirement, we will be building all new requirements in SAP Business Data Cloud by using data foundation services. At this point, we are consuming only BW on HANA providers as data products. Later, by using the Delta Share mechanism, we will be consuming them in Databricks for machine learning capabilities.

The best feature SAP Business Data Cloud offers is a zero delta sharing mechanism, which is more useful because we can consume the data from SAP Business Data Cloud without sharing the data to third-party tools. For example, if we are using Snowflake, we can consume the data through a Snowflake connector. Microsoft also has a connector for SAP Business Data Cloud so we can consume the data in third-party tools without loading the data.

Using these connectors has significantly impacted our workflow and data integration with third-party tools. Previously, we were loading data from SAP S/4 to Azure Synapse Analytics. Through SLT, we faced many issues loading the data due to huge volumes of data and RFC connections having limitations including time limitations. By using the zero delta mechanism, there is no need to copy; we can directly consume the data as a data product wherever we want in third-party tools without loading the data. This is a great feature provided by SAP Business Data Cloud.

In addition to this, SAP has provided Intelligent Applications, which are ready-to-consume tools where ready-made installed datasphere models and SAP dashboards are available. Based on a single click, if we have a requirement for working capital insights, we can simply click on the installation of Intelligent Applications so that all the readymade end-to-end flows will be installed in our environment.

SAP Business Data Cloud has positively impacted my organization because previously, SAP was not integrated with SAP Databricks, which is strong in machine learning. This is a great feature provided by SAP so that customers using SAP as a source, S/4, no longer need to rely on other tools like Azure or any other remaining tools to work on machine learning capabilities since they are associated with Databricks. This will be a great feature in the cloud environment.

In terms of specific outcomes or metrics that show how SAP Business Data Cloud has benefited my organization, time has been saved compared to previously. It provides a broad perspective to the organization, and since most of the resources are handled by SAP, it reduces the effort for the company to maintain those resources. Since we have data harmonization, all the data resides in a single environment, making data accessibility easy for the company. In our case, it saved time, and going forward, it would be saving money for the client.

SAP Business Data Cloud can be improved by providing more use cases for intelligent applications. Currently, SAP is mainly handling data foundation services, and it should give more scope for customization. Previously, when upgrading from BW to BW/4HANA, there were data migration tools provided. However, currently, SAP does not provide any tool to migrate models from BW to SAP Business Data Cloud; we have to do a Greenfield implementation from scratch. If SAP provides a tool to migrate the existing flows in BW directly to SAP Business Data Cloud, it would be really helpful.

The needed improvements include focusing more on the data product level and enhancing the migration aspect. SAP should implement some mechanism where we can directly use the Data Product Generator, which is already available. However, for flows, a simplified tool from SAP would be necessary for migration.

My experience with pricing, setup cost, and licensing is that I feel SAP is still a bit more costly, but in terms of data security and governance, it is worth it for large businesses.

I have been using SAP Business Data Cloud for one year.

Regarding the stability of SAP Business Data Cloud, I cannot comment at this point because it is still an evaluating tool, but it comprises Datasphere and SAC, both of which are already stable.

In terms of scalability, SAP Business Data Cloud is a very great tool.

Customer support is good for now; however, since many customers are migrating to SAP Business Data Cloud, SAP needs to invest or focus more on the support side.

Previously, we only used SAP BW, specifically BW on HANA. Since SAP is providing cloud solutions, and the license for BW on HANA is expiring by 2027, we upgraded to SAP Business Data Cloud.

SAP Business Data Cloud is deployed in my organization as a Private Cloud Edition (PCE), also referred to as Public Cloud Edition, PCE, SAP PCE RISE.

Our company has a business relationship with SAP as a partner; we are investing in terms of personnel by encouraging employees to get certified in SAP Business Data Cloud and learn more. Most of our employees are certified in SAP Business Data Cloud.

I have seen a return on investment in terms of time saved; however, I cannot comment on the money saved at this point since we have only recently implemented this solution. In terms of employees, it will definitely reduce the need for more staff to handle this technology.

I did not purchase SAP Business Data Cloud through the Azure Marketplace; it was from SAP directly.

Before choosing SAP Business Data Cloud, we evaluated other options including Azure and Microsoft Fabric. However, most of our data stays in SAP S/4, and with our analytics and data warehouse solutions already on BW, which is a SAP tool, we felt that for governance and audit purposes, SAP Business Data Cloud is more reliable and worth our investment compared to Microsoft or other solutions.

I did not get the chance to implement the self-service analytics features in SAP Business Data Cloud to change my data models quickly.

I have not used the integration between SAP HANA Cloud and SAP Business Data Cloud; I did not get the chance to implement it.

Regarding my experience with SAP Business Data Cloud Connect to integrate data with external parties or third-party platforms, since it is a cloud mechanism, when using replication flows, there are issues with data loading performance-wise. SAP needs to improve on that functional level.

My advice for others looking into using SAP Business Data Cloud is that customers already using S/4HANA as the ERP tool, who have all their data in SAP, should consider it, even though it can be a bit costly because moving or consuming data into third-party tools makes it less appealing for customers to share their data externally.

Regarding additional thoughts about SAP Business Data Cloud, I see it as an emerging tool and a great option for customers wanting to explore data in machine learning and AI capabilities. I suggest it would be beneficial, but SAP also needs to improve from their end. Most maintenance is on SAP's side, and it can be challenging if there is a lack of support; they should maintain a minimum number of resources for support whenever needed. Since all services related to data foundation are maintained by SAP, they should concentrate more on the product side. Overall, I would rate my experience with SAP Business Data Cloud as a seven out of ten.

SAP Business Data Cloud's main use case and most powerful capability is strengthening the integration pattern between ERP and Azure Data Lake using BDC Delta Share. This has already been tested and worked end to end. The second use case involves a BW roadmap of migration to SAP Business Data Cloud.

The ERP to data lake integration pattern has traditionally involved multiple middleware systems: Managed Data Transfer, GoAnywhere, replicating data via SLT sidecar HANA database, and BusinessObjects Data Services. The integration use case aims to eliminate all of these systems and use BDC Delta Share directly from ERP, replicating via Cloud Connector SLT directly to data lake. This represents the main use case and the basis of TCO comparison. Additional use cases include BW on-prem to SAP Business Data Cloud migration, data lake migration, and Datasphere migration, which has its own greenfield parallel run path.

The most powerful use case is the integration piece with Delta Share to eliminate middle layers, followed by People Intelligence app and integration, which has also been tested with reporting on SAP Analytics Cloud dashboard on top of it, followed by BW roadmap migration to Datasphere, and then AIML capabilities, which is a nice to have.

BDC Delta Share has been one of the big impact areas for SAP Business Data Cloud, as integration has always been a pain point for organizations. Customer managed data products follow as another valuable feature. While standard data products are maintained by SAP, customer managed products help integrate native SAP data by joining tables directly using analytical views and joins for real-time reporting. The priority is integration by Delta Share, followed by customer managed data products, which help join SAP and non-SAP data and integrate them using modeling on analytical views in Datasphere and real-time consumption in SAC.

BDC Delta Share has brought down cost significantly. By eliminating the BODS and SLT layers, a 30 to 40 percent reduction in overall total cost of ownership has been achieved, followed by BW integration roadmap, which is longer-term. However, BDC Delta Share had a limitation of not allowing delta only. The delta only feature on replication flows was not available for standard ERP replication flows, which was a significant limitation. More accelerators are needed for how BW greenfield implementation can happen.

SAP Business Data Cloud is still in a phase of considerable evolution with a long roadmap. SAP has planned many releases and features, especially around accelerators for migrating and upgrading BW, which has end-of-life support in 2030, onto SAP Business Data Cloud. A strong roadmap exists for the next six to eight months. The BW journey will be tricky for organizations with heavy legacy BW footprints. Since this is a greenfield implementation, it is not easy to implement on the go. How organizations choose to move from BW on-prem to BW PCE and conduct greenfield Datasphere implementation to retire BW because of end-of-life support is going to be a critical decision, and how SAP helps organizations accelerate that journey over the next three years will be critical.

BDC Delta Share had a limitation of not allowing delta only, as the delta only feature on replication flows was not available for standard ERP replication flows. This was a significant limitation that prevented organizations from migrating from BODS to replication flows. As a result, it mandates loading the entire history from source, which is not recommended and not possible. SAP is planning to overcome this limitation in the next one or two quarters with releases enabling delta only. Additionally, more accelerators are needed for how BW greenfield implementation can happen. The ABAP stack does not work, customer exits do not work, and all custom ABAP logic has to be rewritten. Accelerators for how history data can be migrated are needed. SAP has releases planned for the next two quarters around accelerating the BW migration roadmap to Datasphere. Along with that, they need to increase their scale-out capabilities on cloud, as they have limited hardware capacity on cloud. This scale-out is due in the next two or three quarters, which will help organizations speed up.

Engagement with SAP Business Data Cloud has been ongoing for close to the last three quarters since its launch at Sapphire last year, with work on project assignments for the last three quarters, spanning six to eight months.

The documentation for SAP Business Data Cloud is comprehensive. The initial setup and prerequisites are complex but documented thoroughly. The native front end includes SAP Analytics Cloud, Delta Share, and analytical models already existed on Datasphere. The documentation SAP has provided is detailed as needed. Following the documentation takes time, and getting the notes implemented on an ERP system is complex and cumbersome, but there is no issue with the documentation that is available.

SAP Business Data Cloud is rated a nine on ten as of now from a long-term strategy perspective. It will evolve, and from an overall five-year or six-year roadmap, SAP looks to integrate Joule, integrate Databricks AI, and bring it all together into SAP Business Data Cloud, RISE, or the Private Cloud Edition. From a long-term strategy perspective, this was much needed for SAP and is the way forward. This represents a big leap from an organization's SAP analytics and AI strategy for the next five years on BTP and SAP Business Data Cloud.

Like any other products, there are product challenges and limitations. Organizations have their own custom variations and corner scenarios. There will always be situations and limitations that SAP Business Data Cloud cannot handle, though SAP has plans to release features in the next two or three quarters. The rating of nine on ten is based on the overall long-term strategy rather than the current capability. Long-term, SAP wants to reduce the number of hops and allow organizations to keep their legacy BW investments and data lake investments in place while simultaneously onboarding to SAP Business Data Cloud without completely disregarding their current investments. For these reasons and from a strategy perspective, a rating of nine on ten is justified.

A sandbox implementation was completed using public cloud, which included a Datasphere component, an SAP Business Data Cloud cockpit, and an SAC tenant deployed on public cloud. Connection to an on-prem SAP using a cloud connector was established, connecting to on-prem S/4 using Cloud Connector to replicate the end-to-end Delta Share via the embedded SLT on S/4. A private cloud edition is available for BW as a component, while the Datasphere and SAC components are deployed on public cloud.

SAP Business Data Cloud AI, whether integrated with SAP Databricks or an organization's enterprise Databricks, is governed through access control driven by Unity Catalog. Organizations need to take this through their Infosec architecture approvals and alignments before onboarding the journey. Joule, whether enabling Joule agents on top of ERP or agentic agents which SAP has a roadmap to release close to 200 agents in the next two to three quarters, requires organizations to align and get approval from their architecture and Infosec teams. Access is then governed using the Unity Catalog, which is part of the SAP Business Data Cloud roadmap. The overall review rating is nine on ten.

Public Cloud

Microsoft Azure

I have been working with SAP Business Data Cloud for a while now, and the main use cases for it are to streamline data integration and automate processes to improve efficiency.

I use SAP Business Data Cloud to ensure that data keeps the same meaning and relationships when it moves between different systems.

The best features in SAP Business Data Cloud from my perspective include its user-friendly interface and powerful analytics capabilities. I also utilize the AI within SAP Business Data Cloud.

I have used the self-service analytics features in SAP Business Data Cloud to change my data models quickly. I have also used SAP Business Data Cloud's Connect to integrate data with external parties or third-party platforms.

Moving my old BW data to SAP Business Data Cloud greatly improves my daily data operations by making them faster and easier.

SAP Business Data Cloud support for AI/ML has enabled new cases in my organization. Connecting SAP Business Data Cloud to Databricks has changed the way my team manages and moves data. At the moment, I am using the integration between SAP HANA Cloud and SAP Business Data Cloud.

In terms of stability, I find SAP Business Data Cloud stable. On a scale of one to ten, where ten is the best, I would rate the overall stability of SAP Business Data Cloud an eight.

Regarding scalability, I find it scalable.

My experience with the technical support team has been positive, and I would evaluate them as effective. On a scale of one to ten, I would rate the tech support a seven.

Prior to adopting SAP Business Data Cloud, I worked with different products and solutions from competitors. The key differences, both pros and cons of SAP in comparison to Azure technologies are significant.

Regarding the pricing aspect, setup cost, and licensing of SAP Business Data Cloud, I think it is excellent. Although it might be too early to assess fully, I have seen some return on investment so far.

When it comes to the initial setup, I am involved in the setup process and the deployment part. My company has a business relationship working with an SAP partnership.

Regarding the pricing aspect, setup cost, and licensing of SAP Business Data Cloud, I think it is excellent. Although it might be too early to assess fully, I have seen some return on investment so far.

Regarding the pricing aspect, setup cost, and licensing of SAP Business Data Cloud, I think it is excellent.

For other organizations considering SAP Business Data Cloud, I would share the advice to take full advantage of its capabilities. Given my experience with SAP technologies and SAP Business Data Cloud specifically, I would recommend planning thoroughly before implementation. I would overall rate SAP Business Data Cloud as a product and solution a nine.

We are a implementing SAP Business Data Cloud for one of our customers, a UK customer.

We are using Datasphere from SAP Business Data Cloud and have integrated it with Databricks using the SAP Business Data Cloud Connect service. We have included SAP Analytics Cloud within this package.

We installed all the data packages available on SAP Business Data Cloud and leveraged several out-of-the-box applications from SAP for modeling purposes.

Our business decisions are taken quickly using SAC dashboards. We import all standard data products from S/4 directly with SAP Business Data Cloud, which provides data governance. We pull additional tables from S/4 through a normal connection and perform modeling in Datasphere.

Data is shared through SAP Business Data Cloud Connect from S/4 to Databricks using Delta Sharing. We have connections with CRM through Microsoft CRM via open connectors. We use a CPI tool to connect other third-party systems to Datasphere.

Datasphere serves as the central point of contact for all data, integrating both third-party systems and SAP, which makes reporting easier.

We use Datasphere from SAP Business Data Cloud for data warehousing and have integrated it with Databricks using the SAP Business Data Cloud Connect service.

All the services are available under one service, and the usability is easy with a user-friendly interface.

Connecting to Databricks using SAP Business Data Cloud Connect is particularly useful, and having all the architecture in one place is beneficial.

The data products provided by SAP Business Data Cloud are valuable. We installed all the data packages available and leveraged several out-of-the-box applications from SAP.

I see intermittent slowness in connectivity and data sharing to Databricks.

While installing the data products and data packages, the error messages are not clear. Improvements in this area would be helpful.

We receive error messages only after two days while installing standard data products, which was one of the major issues I encountered during implementation.

More clear error messages when connecting to S/4 would be beneficial. The error messages were not straightforward, so we had to contact SAP multiple times.

I would not say the system is stable at this point because we receive new updates and fixes from SAP every week. Many parts still need to be worked on in terms of stability.

I have been using SAP Business Data Cloud for approximately six months.

I would not say SAP Business Data Cloud is stable at this point because we receive new updates and fixes from SAP every week. Many parts still need to be worked on in terms of stability.

Scalability is generally easy in cloud environments because of cloud infrastructure benefits. However, on-premises deployment is completely dependent on client decisions.

I have contacted technical support twice or three times.

Technical support is good in terms of responding and providing fixes.

I raised support tickets primarily for data package installations where we missed installing a few SAP notes. They shared information about places where we had authorization gaps.

Initial setup requires purchasing SAP Business Data Cloud licensing. Once that is completed, you receive all tenant details through the SAP for me portal. After that, you must create formations, and within formation creation, you must include all the services you require. That is how the setup is completed on SAP Business Data Cloud.

There were some challenges, but most of them were not complicated. The process was straightforward.

Challenges occurred in terms of formation creation, specifically when creating multiple formations and removing objects from formations. We faced some issues in those areas, but they were resolved quickly.

The licensing cost is quite expensive. Since it is bundled with multiple items, the minimum cost itself is quite high. Many customers were hesitant to move because of the pricing.

We did not leverage AI services. We were only interested in integrating the data. I have no experience with AI on data.

Some requirements are still mandatory for certain clients, so they are proceeding with SAP Business Data Cloud.

Most prefer on-premises deployment, but some prefer cloud as well.

Decisions are most likely based on pricing and licensing. When compared to on-premises, cloud pricing would be better for scalability. On-premises might cost more in the scaling aspect, but that depends on the security requirements of each client.

I would rate this solution an 8 overall.

SAP Business Data Cloud is our primary solution to centralize business data from multiple sources and provide trusted analytics for reporting and decision making.

We recently consolidated financial and operational data from different business systems into a unified platform, which allowed the management team to access dashboards properly and generate reports without manual data combination from multiple sources.

SAP Business Data Cloud offers several best features, such as unified business data management, data governance and quality control, real-time analytics and reporting, and strong security and compliance capabilities.

The real-time analytics feature has been particularly valuable for our team because it provides real-time visibility into business performance and operational metrics. During monthly financial reviews, our management team needs up-to-date sales and revenue data from different business units. Instead of waiting for manual reports, SAP Business Data Cloud provides a unified dashboard with current data, allowing management to easily identify trends and make decisions based on the solution's insights.

SAP Business Data Cloud has improved data accessibility, increased reporting capabilities, and strengthened data governance across all departments. Improved data accessibility and reporting have had a noticeable impact on both productivity and decision making. Before this solution, our team often had to gather information from different systems, but now users can access trusted, up-to-date data from a centralized platform.

SAP Business Data Cloud provides strong AI capabilities and robust access control, with data governance mechanisms that are helping our organization. The solution delivers accurate and reliable output, and the recommendation features are helping us identify trends and business opportunities while reducing manual analysis efforts.

We have used the self-service analytics capabilities in SAP Business Data Cloud to make adjustments to data models and reporting requirements without going through lengthy deployment cycles, which benefits us through faster decision making.

We use SAP Business Data Cloud's centralized data governance and standardized data model capabilities to ensure that data maintains the same meaning and relationships when it moves between different systems, creating a single source of truth and improving reporting accuracy.

Connecting SAP Business Data Cloud with platforms like Snowflake, Google Cloud, or Microsoft solutions has simplified data management for our team, enabling us to access and analyze data without complex manual data movement, reducing data issues and improving data consistency.

Scalability is excellent, as it can accommodate growing data volumes.

SAP Business Data Cloud works very well for us and operates very smoothly.

The initial setup requires some time to implement and could be more simplified for faster deployment. Apart from this, everything is perfect.

Apart from the initial setup that requires expertise, everything is very well aligned and provides proper use cases.

I have been using SAP Business Data Cloud for more than two years.

Customer support is responsive and knowledgeable, providing technical troubleshooting steps and assistance with troubleshooting or any operational issues.

We have not switched from any previous solution. From day one, we have been using SAP Business Data Cloud.

The initial setup requires some time to implement and could be more simplified for faster deployment.

The implementation team is handled by a different team, not by me.

We have seen great ROI with this solution and are able to save time and money due to reduced report preparation time by 50 to 60 percent and faster access to business insights.

The setup cost looks perfect, and no change is required as of now.

We have not conducted an evaluation of other options.

My advice would be to start by clearly defining data governance and business analytics objectives, and you should invest time in data quality and planning. A phased-wise implementation approach would be best for results. I would rate this solution a 9 out of 10.

Public Cloud

Other