

Snowflake Data Cloud and SAP BW4HANA both compete in data warehousing and management. Snowflake appears to have the upper hand with its scalability, flexibility, and ease of use in cloud-native environments.
Features: Snowflake Data Cloud offers unparalleled scalability with limitless storage expansion, superior performance through its distributed architecture, and flexibility allowing dynamic scaling of nodes or clusters. It supports various file formats and offers real-time streaming with Snowpipe. The inclusion of Snowflake Time Travel and zero-copy clone enhances data management and recovery. SAP BW4HANA integrates well with SAP ERP and offers preconfigured business content and metadata solutions. It supports historical trend analysis and provides real-time reporting capabilities. The solution's dashboard and predictive analytics functionality are valuable features.
Room for Improvement: Snowflake's geo-spatial querying capabilities are less developed, and its SnowSQL tool lacks intuitiveness. Users also desire a more transparent pricing model. Improving integration with third-party analytics tools and adding advanced machine learning functions are also needed. SAP BW4HANA could enhance its integration with non-SAP environments and cloud connectivity. Its flexibility in non-SAP environments and the need for improved openness for working with other platforms are areas for improvement.
Ease of Deployment and Customer Service: Snowflake primarily operates in the public cloud, offering robust scalability and receiving positive customer service feedback. However, there are some criticisms regarding slower response times. SAP BW4HANA provides deployment flexibility between on-premise and cloud, but users may experience slower support response compared to cloud-native solutions like Snowflake.
Pricing and ROI: Snowflake's pay-as-you-go pricing model is generally seen as reasonable, with many users reporting positive ROI from long-term use. However, estimating costs can be challenging. SAP BW4HANA, although considered expensive, often justifies its cost through comprehensive enterprise capabilities. SAP's traditional licensing setup offers less flexibility compared to Snowflake's cloud-based model.
In the meantime, I found solutions independently and provided two solutions to my client.
I am satisfied with the response time and quality.
We sought this documentation multiple times but faced difficulty in obtaining it.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Snowflake is highly stable and performs well even with large data sets exceeding terabytes, maintaining stability throughout.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Integration needs improvement.
The integration with AI/ML in SAP BW4HANA is currently very limited, which is definitely an area that needs improvement.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
When it comes to cloud support, the setup cost is very cheap compared to other platforms, such as Oracle or PostgreSQL, which typically require higher costs.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
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.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake has contributed to significant cost savings.
| Product | Mindshare (%) |
|---|---|
| Snowflake | 9.5% |
| SAP BW4HANA | 3.4% |
| Other | 87.1% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
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.
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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