SAP HANA DB is a high-performance in-memory database designed for real-time processing of large amounts of data. It is a column-oriented database, which means that data is stored in columns rather than rows, making it well suited for data analysis and reporting.

SAP HANA DB is used for a variety of business applications, including analytics, data modeling, and real-time data processing. It can be used for traditional transactional tasks such as order processing and inventory management, as well as more advanced analytical tasks such as data mining and predictive modeling.

SAP HANA DB is based on a highly scalable, distributed architecture that makes it possible to process very large volumes of data with high performance. It can be deployed on-premise or in the cloud and is available as a standalone database or as part of the SAP S/4HANA enterprise resource planning (ERP) system.

Related technologies include SAP Business Warehouse (SAP BW), a data warehousing and reporting tool that integrates with SAP HANA DB, and SAP BusinessObjects, a suite of business intelligence (BI) and analytics tools that can be used to visualize and analyze data from SAP HANA DB and other sources.

BITS experts have deployed SAP HANA DB in a wide range of projects. A selection of case studies and references can be found below.


Conception, planning, control and execution of a data center move with production-critical infrastructure

BITS organized and coordinated the relocation of the IT landscape from one data center to a new data center for a globally active corporation in the automotive industry (data center migration). The project comprised around 150 applications and 600 servers, some of which had production-relevant effects, and was supported by us over a period of 3 years.

Cost savings by reducing the amount of memory consumed by SAP systems, establishing monitoring and increasing performance

The goal of the SAP project was to reduce existing storage consumption and thereby save costs in the seven-digit range per year, both in the short term and in the long term.

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