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.
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.
of decision makers
want to better leverage data insights for decision-making and automated processes.
different data types
on average are used by organisations to support business-critical initiatives.
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.
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.
Demo: How SAP HANA and Esri ArcGIS break down silos
See how SAP HANA and Esri can be used to elevate your organisation's geospatial capabilities. This demo shows how an energy supplier can respond quickly and decisively when a natural disaster strikes.
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.
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.
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.
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.
You can manage all your data in a single solution that combines in-memory performance with a large scale queryable data lake.
Advanced virtualisation capabilities combine with flexible data storage and process options to provide a single gateway to all enterprise data.
In the SAP HANA Cloud trial, you can test the SAP HANA database and the data lake services. The configuration of your SAP HANA Cloud database trial instance is 30GB of memory, 2vCPUs, and 120GB of storage. You can only have one database and one data lake instance (4vCPUs, 256GB of storage) in your SAP HANA Cloud trial account.
Each service within SAP HANA Cloud has its own minimal configuration. For the SAP HANA database, it’s 30GB memory and 120GB storage (with or without data). For the data lake, you have a minimum of 4 vCPUs and 1 TB storage on AWS or 4TB on Azure.
You gain secure access to on-premises data sources with SAP HANA smart data integration DP Agent. You can connect SAP HANA Cloud, SAP HANA database to on-premise databases using the Cloud Connector from the SAP Connectivity service