

Microsoft Azure Synapse Analytics and SAP Business Data Cloud are key players in the cloud data management and analytics sector. Microsoft Azure Synapse Analytics often seems to have an edge due to its broad integration capabilities and scalability, whereas SAP Business Data Cloud stands out for its advanced analytics features.
Features: Microsoft Azure Synapse Analytics is notable for its integration with Azure services, high data processing speeds, and support for Massively Parallel Processing, SQL pooling, and numerous connectors. SAP Business Data Cloud is valued for its advanced analytics, simplicity of use, and effective integration with other SAP products, all while providing strong AI and machine learning capabilities.
Room for Improvement: Microsoft Azure Synapse Analytics users have highlighted the need for better governance and schema management, improved initial setup, and more responsive technical support. Meanwhile, SAP Business Data Cloud requires enhanced data visualization, smoother integration with various systems beyond SAP, and more intuitive user interfaces.
Ease of Deployment and Customer Service: Microsoft Azure Synapse Analytics is primarily deployed in public cloud settings, benefiting from extensive cloud support, though variable customer service experiences have been reported. SAP Business Data Cloud similarly operates in public and hybrid clouds. Users of both platforms note Microsoft's broad support options and desire better direct customer support.
Pricing and ROI: Microsoft Azure Synapse Analytics operates on a pay-as-you-go pricing structure. While users find this model flexible, some also report it can be unpredictable and costlier for smaller enterprises. Its pricing is often seen as advantageous for larger organizations, showing cost benefits over on-premise solutions. SAP Business Data Cloud's pricing is perceived as high, yet users recognize the value delivered through its comprehensive toolset, which can justify the premium pricing in many cases. Both platforms necessitate mindful consideration of usage to manage costs effectively.
Some of my customers have indeed seen a return on investment with Microsoft Azure Synapse Analytics as they used it for analytics to drive decision-making, improving their processes or increasing revenue.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
It will definitely reduce the need for more staff to handle this technology.
They are slow to respond and not very knowledgeable.
This is an underestimation of the real impact because we use big data also to monitor the network and the customer.
I would rate the support for Microsoft Azure Synapse Analytics as an eight out of ten.
I would give the technical support for SAP Business Data Cloud a 10 out of 10.
On a scale from 0 to 10, I would rate their support 10 out of 10.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
Microsoft Azure Synapse Analytics is scalable, offering numerous opportunities for scalability.
For the scalability of Microsoft Azure Synapse Analytics, I would rate it a 10 until you remain in the Azure Cloud scalability framework.
Recovering from such scenarios becomes a bit problematic or time-consuming.
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.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.
Performance and stability are absolutely fine because Microsoft Azure Synapse Analytics is a PaaS service.
I find the service stable as I have not encountered many issues.
We have never integrated Microsoft Azure Synapse Analytics with Databricks, but we have mostly pulled data from on-premises systems into Azure Databricks.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
It has been reliable for reporting, analytics, and data integration activities.
This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.
Microsoft Azure Synapse Analytics is an excellent product because it includes both SIEM and orchestration capabilities with playbooks.
There is a need for better documentation, particularly for customized tasks with Microsoft Azure Synapse Analytics.
Databricks is a very rich solution, with numerous open sources and capabilities in terms of extract, transform, load, database query, and so forth.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
The cheapest tier costs about $4,000 to $4,700 a year, while the most expensive tier can reach up to $300,000 a year.
I think the price of Microsoft Azure Synapse Analytics is very expensive, but that's not only for Microsoft Azure Synapse Analytics—it's for the cloud in general.
I find the pricing of Microsoft Azure Synapse Analytics reasonable.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
From a planning license perspective, SAC on that side is very expensive if you need developer features.
SAP Business Data Cloud is at a disadvantage when compared to tools like Talend or Informatica, which are cheaper and more capable.
One of the most valuable features in Microsoft Azure Synapse Analytics is the ability to write your own ETL code using Azure Data Factory, which is a component within Synapse.
Microsoft Azure Synapse Analytics offers significant visibility, which helps us understand our usage more clearly.
For Microsoft Azure Synapse Analytics, the integration is the most valuable feature, meaning that whatever you need is fast and easy to use.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
| Product | Mindshare (%) |
|---|---|
| Microsoft Azure Synapse Analytics | 5.8% |
| SAP Business Data Cloud | 3.3% |
| Other | 90.9% |

| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 18 |
| Large Enterprise | 59 |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 23 |
| Large Enterprise | 69 |
Microsoft Azure Synapse Analytics integrates data warehousing and big data analytics seamlessly. It provides scalability and user-friendly features for efficient, real-time reporting and data management.
Azure Synapse Analytics is designed for seamless data integration, allowing users to scale their operations effectively while providing extensive analytics capabilities. It supports both traditional data warehousing and big data solutions with real-time reporting through an interactive interface that integrates well with Power BI. The platform's serverless flexibility optimizes cost while ensuring robust security, leveraging users' familiarity with SQL technologies. Scalability allows processing of large datasets efficiently, empowering companies to connect disparate data sources and support industry-specific needs. Despite its strengths, Synapse users often seek improved governance, schema management, and technical support. Enhanced integration with Microsoft and third-party tools, along with better data loading capabilities, are also desired.
What are the key features of Microsoft Azure Synapse Analytics?Azure Synapse Analytics is extensively implemented across sectors like healthcare, finance, marketing, and government. Organizations use it to build data pipelines, perform analytics modeling, and facilitate reporting. It supports data transformation, migration, and orchestration, enhancing business intelligence and decision-making capabilities by efficiently handling big data and connecting disparate data sources.
SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.
What are the most important features of SAP Business Data Cloud?
What benefits or ROI should users look for in SAP Business Data Cloud?
SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.
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