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 organisations to support business-critical initiatives.

92

%

of organisations

require technology patchworks to support initiatives involving diverse data.

SAP is Recognised as a Leader in The Forrester WaveTM: Multimodel Data Platforms, Q3 2021

Read the full report and discover how multimodel platforms help organisations deliver real-time, consistent, and trusted data to support new business requirements.

Why multi-model processing in SAP HANA Cloud?

Innovate without boundaries

View multi-model processing in action

Discover how SAP HANA Cloud, an intelligent and multi-model database solution, can help you at the front of the race and let you innovate without boundaries.

Store, process, and analyse various data types and models in SAP HANA Cloud

Explore multi-model data types and models

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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).

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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.

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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 analyse highly complex relationships in the context of your business data.

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Learning resources for graph in SAP HANA

Discover the powerful graph engine in SAP HANA that allows analysing 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.

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Get started with tutorials

Follow the beginners’ tutorials on our Developer Center and get first hands-on experience with graph capabilities in SAP HANA.

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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.

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Technical overview of machine learning with SAP HANA

SAP HANA supports a comprehensive environment for machine learning. View the main features available.

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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.

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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.

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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.

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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.