SAP and Esri Partner to Advance Geospatial Capabilities in SAP HANA Cloud

From governments monitoring environmental trends to retailers optimizing supply chains, geospatial technology is more important than ever. With organizations looking to solve increasingly complicated challenges, geospatial data plays a key role in shaping strategy. Organizations need the best possible tools in their hands to drive innovation based on geospatial insights. SAP and Esri make this innovation possible.

Esri, the global leader in geographic information system (GIS) technology and location intelligence, has recently certified SAP HANA Cloud as a fully managed cloud database as a service (DBaaS). This means that Esri's ArcGIS technology fully supports SAP HANA Cloud and has been engineered to take advantage of its latest features. Together, Esri's cloud-enabled geospatial solutions and SAP HANA Cloud elevate an organization's geospatial capabilities to new levels. With ArcGIS technology deployed in SAP HANA Cloud, users gain the following:

• High performance with a built-in spatial engine optimized for ArcGIS Enterprise and ArcGIS Pro
• A single point of real-time access to all data (publication geodatabases, SAP data, and non-SAP data)
  
• Scalability to boost compute and storage capabilities whenever needed
  
• Operational efficiency by eliminating mundane database administrative tasks—all with a lower total cost of ownership
  

With support for ArcGIS Enterprise (version 10.8.1 and later) and ArcGIS Pro (version 2.6 and later), organizations can deliver powerful geospatial capabilities with SAP HANA Cloud.

The partnership began two decades ago, with SAP and Esri continually working together to bring “The Science of Where” to the intelligent enterprise. As each company's technology has evolved, Esri and SAP have worked diligently to maintain and grow their joint offerings. To best address the needs of their customers, Esri and SAP strive to give organizations the exact tools they need to solve their most pressing business challenges.

Now, with ArcGIS Enterprise and ArcGIS Pro fully supporting SAP HANA Cloud, organizations gain the cutting-edge tools they need to harness the full power of their geospatial data in a managed cloud environment. Here's how organizations benefit from this integration.

Geospatial analysis gives new dimensions to what's learned from data by showing trends that would otherwise remain hidden. With SAP HANA Cloud's multimodel processing and the spatial engine, organizations can store, process, model, and analyze spatial data directly in the database, dramatically improving response to complex spatial queries. This high-value data is immediately consumed by ArcGIS Enterprise, providing near real-time insights and analysis to end users.

When data is isolated, it's impossible to get the full context of all the challenges an organization faces. SAP HANA Cloud breaks down silos and gives easy access to the data needed for analysis in ArcGIS. That's because SAP HANA Cloud unites operational and locational data—from both SAP and non-SAP sources—in a single, managed environment. With powerful connection capabilities and virtualization, all data sources can be connected through a single point of access. 

With powerful transactional and analytical processing capabilities, SAP HANA Cloud gives real-time access to data across departments and locations, without having to deal with siloed data that's difficult to find and access. Deliver results immediately to business stakeholders without having to use the extract, transform, and load (ETL) method to write, test, and approve.

The availability of and demand for geospatial data are growing rapidly in every industry. At the same time, the need to balance performance and cost is critical. Now users don't have to sacrifice performance for the sake of cost or flexibility when trying to get insights from all the data. 

SAP HANA Cloud's built-in data lake gives additional flexibility when storing critical location data that ArcGIS Pro relies on for advanced analysis. With the data lake, data can be easily transitioned from high-performance, in-memory storage to this lower-cost, warm storage option. Geospatial data can be tiered up or down based on need, giving organizations full flexibility when it comes to cost and performance. This capability can be particularly useful when consuming streams of data from Internet of Things (IoT) devices supporting a supply chain network or a fleet of vehicles. SAP HANA Cloud gives you a place to seamlessly store and retrieve this data.

When an organization needs to boost its compute or storage capabilities, SAP HANA Cloud scales to meet that demand. This way, there are no disruptions when using ArcGIS to solve challenges. Organizations can scale down just as easily when needed. 

Together, SAP HANA Cloud and ArcGIS deliver a powerful, fully managed cloud environment that cuts down on redundant administrative tasks. Instead of focusing on time-intensive maintenance, IT departments can focus on strategic tasks, allowing organizations across a range of industries to save on both costs and resources. 

During a natural disaster, utility companies need the best performance possible from their geospatial platform so that they can respond quickly to mitigate damage by gaining insights through location intelligence. With ArcGIS, these organizations can pinpoint problem areas, monitor repair progress, and loop in stakeholders across departments.

SAP HANA Cloud's spatial engine powers these insights. During these high-volume peaks, SAP HANA Cloud scales to meet any demand. Utility companies that are inundated with new data during peak times no longer need to bring in additional hardware or IT support to address these short-term, high-demand scenarios.

Together, Esri and SAP ensure that organizations are ready for any challenge. From the built-in spatial engine to the scalable compute and storage capabilities, SAP HANA Cloud is the ideal database for running ArcGIS technology. Deploy these two solutions together to unlock the full geospatial power of data.