

SAP Business Warehouse and Dremio are key players in the data analytics and management sector. Dremio seems to have an edge due to its scalability and advanced query engine, offering flexibility and speed, which outweighs SAP BW’s structured, enterprise-level focus.
Features: SAP Business Warehouse offers robust data warehousing capabilities, integration with SAP applications, and transformation features that simplify data extraction and reporting. Dremio provides fast SQL query execution, seamless integration with data lakes, and a self-service model for rapid insights and enhanced flexibility.
Room for Improvement:SAP BW users suggest enhancing real-time reporting, simplifying integration with other systems, and reducing dependency on SAP environments. Dremio could improve by further developing its complex analytical features, lowering learning curves for new users, and increasing compatibility with more data types and sources.
Ease of Deployment and Customer Service:SAP Business Warehouse requires significant initial setup due to complex integration, offering extensive support for implementation. In contrast, Dremio features a cloud-native architecture that eases deployment and offers quick customer service response times, aiding easier adaptation and troubleshooting.
Pricing and ROI:SAP Business Warehouse involves high upfront and ongoing costs due to its infrastructure and licensing, but it delivers comprehensive capabilities over time. Dremio offers a more cost-effective subscription model with faster ROI due to quick deployment and superior performance, making it an appealing alternative for organizations focused on speed and flexibility.
| Product | Market Share (%) |
|---|---|
| Dremio | 6.6% |
| SAP Business Warehouse | 2.3% |
| Other | 91.1% |


| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 5 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.
Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.
What are Dremio's most valuable features?Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.
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.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.