SAP HANA architecture
SAP HANA’s in-memory, column-oriented architecture is built for fast queries and high-speed transactions – but it also includes – database management, application development, advanced analytical processing, and flexible data virtualization.
The history of SAP HANA
In the mid-2000s, co-founder of SAP, Hasso Plattner, was on a mission. He wanted to develop a database that could process transactional and analytical data – and answer any business question – in real time. 2010, SAP HANA was born and now 31,000+ direct customers run on SAP HANA today.
How you manage with SAP HANA is much different than in legacy databases and most implementations will result in a smaller data footprint. Dedicate time to research the technology, explore success stories, read the blogs, and develop a list of implementation resources.
Legacy systems always have some outdated applications, custom code, and data that must be addressed in the migration planning.
On-premises, cloud, or hybrid are all viable with SAP HANA.
Determine the amount of memory your main data set will require. Plan the memory size for static and dynamic data as well as the disk size requirements for “persistent storage.”
This is a wonderful opportunity to remove bad, duplicate, and old data to streamline your systems and reduce your data footprint.
Well ahead of your go-live date, perform a proof of concept to validate the migration process and collect feedback on what worked and what needs to be changed.
SAP HANA frequently asked questions