SAP HANA and Oracle Database In-Memory compete in the high-performance database category, with each offering unique strengths. SAP HANA is favored for its integration and in-memory capabilities, while Oracle's columnar format provides superior performance for analytics.
Features: SAP HANA offers comprehensive real-time performance, with effective data compression reducing storage by 25-30%. Its in-memory computing speeds up data processing, making it ideal for integration and supplier relationship management. Oracle Database In-Memory excels with its columnar format that enhances rapid analytic query performance. It also supports multitenant features, beneficial for database consolidation, advantageous for data warehousing environments.
Room for Improvement: SAP HANA struggles with high costs and scalability issues. Its customization and integration with non-SAP systems need improvement alongside better partition handling. Oracle Database In-Memory could enhance its graphical user interface and user adaptability, with feedback indicating cost efficiency as a primary concern.
Ease of Deployment and Customer Service: Both solutions offer diverse deployment options, from on-premises to hybrid clouds. Oracle Database In-Memory users appreciate deployment flexibility. SAP HANA's technical support is responsive but inconsistent, while Oracle's could improve, though it generally meets expectations.
Pricing and ROI: Both SAP HANA and Oracle Database In-Memory are costly, limiting smaller businesses' adoption. SAP HANA's ROI is good due to integration and speed, though the high licensing cost is a drawback. Oracle's high cost comes with praised features, yet users should carefully assess ROI compared to competitors like Microsoft.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
The support is lacking and not worth the premium price.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
The main issue is the ecosystem, which lacks the widespread support that SQL enjoys.
Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.
It's a recurring subscription model, which is expensive compared to legacy systems with just a maintenance fee.
The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.
Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.
The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.
For more information on Oracle Database In-Memory, visit Oracle.com
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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