Intelligent applications
Build and run next-generation applications
Intelligent 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.
Explore multi-model data types and models
Incorporate similarity into solutions
Take advantage of in-memory database technology to execute fast similarity searches as well as combine the results with other types of business data. The vector engine enables generative AI use cases such as retrieval augmented generation (RAG) for large language models (LLMs).
SAP HANA as an enterprise geodatabase
Discover how SAP HANA provides real-time geo-enabled analytics across huge volumes of spatial and business data, and how you can benefit from SAP HANA as the Esri ArcGIS enterprise geodatabase in cloud, on-premise, or hybrid deployments.
Enhance graph traversal with the knowledge graph engine
Discover the latest multi-model engine in SAP HANA Cloud that allows businesses to connect corporate knowledge and answer complex questions using data stored in a graph. Learn about key concepts and the differences between property and knowledge graphs.
Get started with a property graph tutorial
Follow the beginner tutorials on the SAP Developer Center and get hands-on experience with property graph capabilities in SAP HANA Cloud.
Document store for JSON documents guide
The document store in SAP HANA is a feature you can use to store JSON artifacts and perform all standard operations on JSON documents, such as filtering, aggregation, and joining JSON documents with SAP HANA column or row store tables.
Technical overview of machine learning with SAP HANA
SAP HANA supports a comprehensive environment for machine learning. View the main features available.
SAP HANA machine learning resources
Machine learning capabilities have continuously evolved over time. Explore our hands-on tutorials, background information, and updates on recent enhancements.
Getting started with SAP HANA Cloud
Learn the latest features and discover how to get started with the predictive analysis library (PAL) and automated predictive library (APL) in SAP HANA Cloud.
Hands-on tutorial: APL in SAP HANA Cloud
Learn how to automatically train machine learning models within SAP HANA Cloud without extracting the data and how to use the Python client SAP HANA to trigger the required calculations in the SAP HANA Cloud straight from your preferred Python environment.
Enterprise search developer guide
Enterprise search allows you to search all structured data in an app in a unified way and contains tools for creating and changing search models.
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.