Intelligent data applications
Build and run next-generation applications
Intelligent data applications represent the next generation of self-learning and self-adapting applications that leverage built-in analytical and operational database capabilities to provide new experiences. These innovative applications take advantage of built-in algorithms for capabilities such as business functions, machine learning, graph processing, and spatial analysis. They are data-intensive by nature,requiring the ability to ingest and process data in any format from any source, in real-time as events occur, enabling process automation and ad-hoc business decision-making on both current and historical data.
Smart multi-model
Without boundaries, you can innovate smart, real-time solutions by storing, processing, and analyzing multiple types of data in a single, scalable solution.
Multi-model processing Use a unified database solution that stores, processes, and analyzes geospatial, graph, JSON documents, and more.
Native machine learning Augment and improve business processes with data-driven insights from embedded and external machine learning.
Hybrid transactional and analytical processing Innovate with modern applications that combine transactional and analytical workloads on a single data set.
Integrated multitier storage
Optimize performance, cost, and storage
Enable your applications to access all data independently of where it is stored and modify your database storage preferences to meet user expectations.
Control your data effectively in the cloud
Make data management more cost effective by assigning data to various storage and processing tiers based on its value, such as age, security, and usefulness.
Maximize data value and accessibility
Minimize the cost of managing and storing data by balancing data volume, storage costs, and processing performance with data tiering capabilities.
Transactional and analytical processing
Support any type of data
Run many different types of workloads, ranging from transactional to analytical, including multimodel and advanced analytics capabilities and machine learning.
Solve data management challenges
Simplify your platform for analytics data marts with machine learning, predictive analytics, and powerful analytical engines data search, rules, and analysis.
Hybrid database
Extend your data storage footprint
Expand the on-premise storage capabilities of SAP HANA by offloading data to the cloud, while helping to ensure your data is accessible to consumers as needed.
Support higher or variable workloads
Boost your computing capacity to optimally support your existing deployment of SAP HANA by offloading data processing workloads to SAP HANA Cloud.
Connect data across premises and clouds
Transform your data landscape with better agility and transparency by virtualizing access to your data across SAP HANA, SAP HANA Cloud, or other data sources.