SAP HANA and Oracle Database In-Memory are competitors in the real-time data processing and analytics category. Based on the comparisons, SAP HANA has the upper hand in integration, simplicity, and memory capabilities, while Oracle shines with its performance optimization and security features.
Features: SAP HANA enhances application performance with real-time data processing and comprehensive memory capabilities, allowing for rapid querying and data analysis. Its in-memory capabilities provide advanced integration and flexibility in managing large datasets. The solution supports supplier relationship management and real-time reporting. Oracle Database In-Memory offers superior performance for real-time analytics, using columnar storage to boost query speeds in data warehousing environments. Its performance enhancements are well-suited for enterprises with significant transactional needs, while the platform is recognized for its security features.
Room for Improvement: Areas for improvement for SAP HANA include better customization, improved integration capabilities, and high pricing concerns. Users desire enhancements in its interface and scalability due to the solution's high cost. Oracle Database In-Memory seeks improvements in AI enhancements, scalability, and support. It also struggles with flexibility and large dataset handling, requiring a more user-friendly design and cost-effective scaling.
Ease of Deployment and Customer Service: SAP HANA can be deployed on various setups, including on-premises and hybrid clouds, though initial deployments can be complex. Customer service receives mixed reviews, with some reports of delays and high costs. Oracle Database In-Memory offers deployment flexibility across cloud models and on-premises, but its customer service requires improvements in response times and efficiency when compared to SAP HANA.
Pricing and ROI: SAP HANA's pricing based on CPU and memory size can be costly, especially for small to medium enterprises, but provides significant ROI through performance gains for larger organizations. Oracle Database In-Memory, also cost-intensive, offers slight cost reductions in cloud environments, making it somewhat more adaptable in pricing while delivering high performance and integration capabilities.
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 community support is better than the official SAP support.
Time to respond to SAP support is an issue, and finding the right person and handling the whole process are problems too.
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
The scalability rating is based on the ability to expand.
There is enough scalability offered by SAP to meet our deployment needs.
We recently faced customer data loss during the cluster handover or failover fallback.
We have not had any problems in the last seven to eight years.
Regarding stability, they are using legacy systems and have implemented SAP HANA.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
The problem is the price; it's too expensive for what it actually delivers.
Many customers still prefer Oracle, possibly due to cost or familiarity, despite SAP mandating that they have to go to SAP HANA.
Licensing costs with SAP HANA are very high.
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.
SAP is not a cheap company, and its licenses are expensive.
I would rate the price for SAP HANA as high.
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.
One of our dashboards using Excelsius was previously developed on normal BW on Oracle data, which took 10 minutes to open. After developing the same calculation views using those tables and replacing them with calculation views in Excelsius, the dashboard opened in seconds.
The concept enhances speed, allowing the database to serve and move data quickly.
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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