

Snowflake and SAP Business Warehouse compete in the data warehousing category. Snowflake appears to have the upper hand due to its superior cloud scalability, ease of use, and flexible deployment options.
Features: Snowflake offers features like Time Travel for data recovery, quick environment creation, and strong security compliance. Its cloud scalability and seamless integration with third-party ETL tools are notable. Users find it user-friendly and easy to set up. SAP Business Warehouse, on the other hand, is known for its integration with SAP applications and real-time data capabilities, although it may not be as intuitive to use.
Room for Improvement: Snowflake could improve transparency in data processing and pricing, and enhance integration with AI and machine learning. Users also desire better reporting analytics and automation tools. SAP Business Warehouse faces challenges with its complex setup, high licensing costs, and limited flexibility. Its programming language can be complex and integration with non-SAP tools might not be seamless.
Ease of Deployment and Customer Service: Snowflake primarily uses public cloud deployment, offering accessibility and flexibility on a global scale. Its customer service is known to be responsive and helpful. Conversely, SAP Business Warehouse often relies on private and on-premises cloud solutions, which can limit deployment speed and flexibility. While its technical support is efficient, it may not be as agile as Snowflake’s given its more traditional approach.
Pricing and ROI: Snowflake's pay-as-you-go pricing model can be costly if not managed, yet its performance and flexibility offer significant value. Many users experience ROI due to its scalability and ease of use. In contrast, SAP Business Warehouse tends to have higher pricing, which varies based on company revenue and usage tiers. Although immediate ROI might not always be evident, its deep integration with SAP ecosystems can justify the costs for large enterprises.
| Product | Market Share (%) |
|---|---|
| Snowflake | 16.1% |
| SAP Business Warehouse | 2.3% |
| Other | 81.6% |


| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
Reporting, analysis and interpretation of business data are crucial to preserve and enhance the competitive edge of companies by optimizing processes and enabling them to react quickly and in line with market needs. SAP Business Warehouse (SAP BW) provides tools and functions that enable companies to attain these goals. In SAP BW, you can integrate, transform, and consolidate relevant business information from productive SAP applications and external data sources. SAP BW provides you with a high-performance infrastructure that helps you evaluate and interpret data. Decision makers can make well-founded decisions and identify target-orientated activities on the basis of the analyzed data.
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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