Key benefits of an in-memory database
SAP HANA enables real-time data access and offers support for multiple data types and models.
What is SAP HANA in-memory database?
SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organisations, for quick decision-making, on premise and in the cloud.
Mike Sullivan, Head Coach Pittsburgh Penguins SAP HANA Cloud, is the processing engine for the NHL
We’ve relied on technology more than ever during this pandemic to interact with players. Speaking to the app, the condensed schedule has presented an increased importance on managing our players’ workloads. Closely tracking ‘Time on Ice’ and other metrics has been critical for us.
See how customers are succeeding with SAP HANA and SAP HANA Cloud
See how payment services provider ZPS has built a real-time monitoring model to support regulatory compliance using SAP HANA for SQL data warehousing.
Learn how Steinbeis turns information into insight in seconds by utilising the multi-model, machine learning and data compression capabilities of SAP HANA.
Find out how Black Horse One enjoys a high-performance data infrastructure with real-time data access and securely stores data from multiple sources in one place using SAP HANA Cloud.
See how Costain utilises data virtualisation capabilities of SAP HANA Cloud, SAP HANA smart data integration and other SAP BTP solutions to digitalise the infrastructure sector.
Explore how mLogica is hyperscaling Big Data analytics using the data lake service for SAP HANA Cloud and migrated data without reformatting or tailoring.
See how the Morocco Ministry of Health enabled real-time data collection and monitoring of KPIs during COVID-19 pandemic with SAP HANA.
Find out how the Province of Noord-Brabant significantly reduced the effort of data gathering and reporting by pulling multi-model data from its S/4HANA system and combining it with ESRI ArcGIS.
Learn how Acea built a hybrid data landscape with SAP HANA Cloud and its built-in data lake, benefiting from tiered storage options that keep costs down while maximising high-speed performance.
Explore how Geberit created a central point of data access using SAP HANA Cloud and can now connect and access multiple different data sources in their hybrid landscape without the need for middleware tools.
Discover how HARTMANN implemented scalable data modelling and persistence with SAP HANA Cloud and now benefits from its predictive analysis library and machine learning capabilities.
Find out how SAP HANA provided CP Rail a single source of truth with in-memory speed, best-in-class data compression, and custom app development as well as real-time, virtualised data access across IT systems.
Learn how this company dealt with a fast scaling data volume and now has instant access to data that once took a week to retrieve.
A pilot to harness sensor data and use it to monitor equipment health and predict potential malfunctions was built using SAP HANA Cloud.
Learn how Ferrara built a single source of truth with a native enterprise data warehouse and extended application services in SAP HANA and now enjoys real-time access to any data with combined transactional and analytic workloads.
Javid Qureshi, SAP Basis HANA Architect, Exxon Mobil
David Bertsche, Senior Data Scientist, Kaiserwetter Energy
Renee Ferree, Program Coordinator, City of San Diego
View best of data management 2021 for relational databases
Frequently Asked Questions
SAP HANA Cloud database offers the same power and performance that you might already be familiar with in SAP HANA. However, SAP HANA Cloud database is built natively for the cloud, which means greater connectivity and several new features. It’s also a database as a service, offering greater flexibility. With SAP HANA Cloud database, you don’t have to worry about managing hardware, operating systems, backups, and other types of maintenance. All of this is taken care of by SAP.
The top reasons for embracing cloud databases are faster access to data, consumption-based pricing, elastic scale, and a fully managed solution to reduce maintenance.
You can extend on-premise database landscapes to the cloud with expanded capacity—compute and storage—to begin your cloud journey.
* Gartner Magic Quadrant for Cloud Database Management Systems, Donald Feinberg, Merv Adrian, Rick Greenwald, Adam Ronthal, Henry Cook, 23 November 2020
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAP SE.
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