SAP HANA and Oracle Java DB compete in the database solutions category. SAP HANA seems to have the upper hand in enterprise-level performance and real-time analytics, while Oracle Java DB excels in simplicity and integration with Java environments.
Features: SAP HANA features high-speed transaction processing, advanced analytics, and integrated machine learning. Oracle Java DB offers easy integration with Java applications, efficient memory management, and robust handling of large data sets.
Room for Improvement: SAP HANA could improve by streamlining its deployment process, offering enhanced integration with non-SAP applications, and providing more pricing flexibility. Oracle Java DB may benefit from advanced analytics capabilities, better enterprise-level support, and enhanced scalability features.
Ease of Deployment and Customer Service: SAP HANA is complex to deploy due to its infrastructure needs but provides comprehensive support. Oracle Java DB allows for easier deployment by leveraging Java, though it lacks extensive enterprise-level support resources.
Pricing and ROI: SAP HANA involves higher initial costs due to its rich feature set and infrastructure demands, offering potential substantial ROI through advanced data capabilities. Oracle Java DB is more cost-effective initially, focusing on basic database needs with moderate ROI benefits.
Java DB is a relational database management system (RDBMS). Data is stored and queried via SQL or JDBC. Like other RDBMSs, Java DB can also be accessed through a persistence layer such as JPA, Hibernate, or JDO. Java objects can be stored in the columns of Java DB tables.
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.
We monitor all Relational Databases Tools 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.