Multi-Model Processing
What is a multi-model database?
A multi-model database is a single, integrated data platform that can store, access, and process different types of data to carry out multiple tasks. With a multi-model database, you can unify various data types and models into a single solution, without having individual technologies for each specific purpose.
Why multi-model?
SAP believes that a single, integrated suite of solutions is more beneficial than having individual technologies for each specific purpose. The resulting patchwork solutions lead to silos that hamper business agility and innovation. A unified multi-model data platform can help overcome these challenges.
90
%
of decision makers
want to better leverage data insights for decision-making and automated processes.
7
different data types
on average are used by organizations to support business-critical initiatives.
92
%
of organizations
require technology patchworks to support initiatives involving diverse data.
SAP is Recognized as a Leader in The Forrester WaveTM: Multimodel Data Platforms, Q3 2021
Read the full report and discover how multimodel platforms help organizations deliver real-time, consistent, and trusted data to support new business requirements.
Why smart multi-model processing in SAP HANA Cloud?
Store, process, and analyze various data types and models in SAP HANA Cloud
Explore smart multi-model data types and models
Supercharge your business applications with spatial analytics from SAP HANA
Find out how you can use spatial analysis to get greater insight into your data to make smarter and faster decisions, save time and money, and increase revenue.
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.
Highly connected data processing in real time
Learn how SAP HANA speeds data-driven decisions and actions. As the data foundation of SAP Business Technology Platform, SAP HANA delivers enterprise-class graph data processing capabilities to analyze highly complex relationships in the context of your business data.
Learning resources for graph in SAP HANA
Discover the powerful graph engine in SAP HANA that allows analyzing complex relationships in business data stored in the SAP HANA database. Here is a comprehensive overview of the most recent enablement materials on the topic.
Get started with tutorials
Follow the beginners’ tutorials on our Developer Center and get first hands-on experience with graph capabilities in SAP HANA.
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.
Get Started with SAP HANA machine learning
Discover how SAP HANA Cloud and SAP HANA provide the right technology foundation for your machine learning initiatives.
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.
Gain business value from embedded machine learning in SAP HANA
Discover how SAP HANA can provide you with the right technology for your machine learning initiatives.
Getting started with SAP HANA Cloud
Learn the latest features and discover how to get started with 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 SAP HANA Python Client API for ML to trigger the required calculations in the SAP HANA Cloud straight from your preferred Python environment.
Performing data science with SAP HANA Cloud
Learn how data scientists from Python can leverage embedded machine learning, spatial, and other advanced processing capabilities in SAP HANA.
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.
See how customers are succeeding with smart multi-model processing in SAP HANA Cloud
Gained a holistic view of its equipment and benefited from lower maintenance costs and less downtime due to the early notification of abnormal events.

See how NHL analyses over 100 years of game stats with SAP HANA Cloud.

Team liquid uses SAP data and analytics solutions to show people the data, statistics, and information to build momentum and gain the edge to win.

Read how Open Grid Europe gains new geospatial capabilities with SAP HANA Cloud