

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
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.
In the meantime, I found solutions independently and provided two solutions to my client.
I am satisfied with the response time and quality.
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.
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.
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.
Integration needs improvement.
The integration with AI/ML in SAP BW4HANA is currently very limited, which is definitely an area that needs improvement.
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.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
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.
The best features include the ability to create data sources directly on tables, and perform mapping without creating info objects.
The capability to handle a large amount of data and perform ETL operations is most valuable.

| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 18 |
| Large Enterprise | 56 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 29 |
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 BW4HANA, a robust enterprise data warehousing and analytics platform, enhances business intelligence with performance and integration capabilities. It supports real-time reporting while integrating with SAP ERP systems.
SAP BW4HANA empowers data-driven decisions with its scalable architecture, providing businesses with extensive modeling and data transformation tools. Known for its powerful dashboard, the platform offers speed and user-friendly operations via the HANA database. It maintains performance while supporting Big Data and allows for customization tailored to specific organizational needs. It integrates effectively with SAP ECC systems, simplifying historical analysis and real-time reporting. Despite needing improvements in integration, better cost structures, and support for AI, its strengths in robust security, enhanced analytics, and extensive KPIs remain unmatched.
What are the key features of SAP BW4HANA?SAP BW4HANA is crucial in industries such as finance and retail, where businesses rely on data-driven insights for sales, financial reports, and operational analytics. Entities use it to generate detailed reports and perform KPI analyses, often integrating with analytical tools like Power BI and Tableau for enhanced data visualization and decision-making processes.
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