SAP HANA and DuckDB are both prominent data management systems, competing in the high-performance data processing category. SAP HANA tends to have the upper hand due to its extensive features and robust support, while DuckDB stands out for its simplicity and cost-effectiveness.
Features: SAP HANA offers real-time analytics, complex data processing capabilities, and comprehensive integration options. DuckDB is recognized for its streamlined design, efficient querying, and SQLite compatibility.
Room for Improvement: SAP HANA requires enhancements in pricing flexibility and better integration with non-SAP systems. Users also seek improved user interface complexity reduction. DuckDB needs better scalability options, more extensive documentation, and improved multi-threading capabilities.
Ease of Deployment and Customer Service: SAP HANA's deployment process is complex, but it benefits from strong customer service and extensive support resources. DuckDB is easily deployable but lacks extensive customer service options, making it simpler but less supported.
Pricing and ROI: SAP HANA has higher setup costs and a significant return on investment relies on utilizing its comprehensive features. DuckDB's pricing is more attractive with lower initial investments, providing a quicker return on investment based on its affordability.
DuckDB is an in-process SQL OLAP database management system. Processing and storing tabular datasets, e.g., from CSV or Parquet files. Interactive data analysis, e.g., join & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g., appending rows, adding/removing/updating columns. Large result set transfer to client.
SAP HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.
The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.
The solution is structured into five groups of capabilities, categorized as:
There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.
SAP HANA Features
Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:
SAP HANA Benefits
SAP HANA provides many benefits for its users. These include:
Reviews from Real Users
According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.
Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.
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