The document outlines the evolution of SAP HANA as the core engine for S/4HANA, highlighting its features such as in-memory processing, real-time analytics, and the integration of OLAP and OLTP. It discusses the regular release strategy, showcasing advancements in infrastructure, development tools, and functionality enhancements over time, particularly focusing on service packs and cloud deployment. Key improvements noted include user experience upgrades, enhanced backup strategies, and support for multi-tenant environments.

1. HANA – the backbone and engine
for S/4HANA
Chris Kernaghan
Principal Consultant

2. 2

3. HANA History
3
SAP HANA SAP BW
Powered
by SAP
HANA
Business
Suite
powered
by SAP
HANA
Simple
Finance
powered
by SAP
HANA
SAP S/4
HANA
2011 2012 2013 2014 2015
• In Memory
platform
• Real time
analysis
• Real time
reporting
• Real time
Business
• OLAP & OLTP
together
• SAP Hana
Enterprise Cloud
• Instant financial
insight
• No aggregates
• Single Source of
truth
• Simplified data model
• New user experience
• Advanced processing
• Choice of deployment

4. HANA Release strategy
SAP HANA SP XX . XX . XX
Service Packs
• Released every 6 months from a single delivery stream.
• Cumulative and downwards compatible
• Linked with Client tools
Revisions
• Released on demand
• Sometimes linked to client tools – check release notes
Data Centre Release
• Released every 6 months, after being run on Production systems for 2+ weeks
• Recommended for Production systems between
Maintenance Revisions
• Used to keep customers on lower support packages to get defined subset of
fixes
• Only valid for 3 months
4
Revision Maintenance Revision

5. SAP HANA within the stack
5

6. Example S/4 HANA Landscape
6
SuccessFactors
Ariba
SAP
Hana
Cloud
Platform
S4 Landscape Customer
DMZ
HANA
DB/CI
Application
Server(s)
Gateway/Fiori
Server
SLT
Server
PI
Server
User
Internal Network
Other SAP
systems
Non-SAP
systems
SAP
Cloud Connector
SAP Data
Services
B.Obj
App tier
B.Obj
Database

7. • Multi-tenant Database Containers
• Improving deployment options (MCOD, MCOS, MCD)
• DB Control Centre
• Ability to manage multiple databases from a single
console
• Dynamic Data tiering
• Data Lifecycle Manager using temperature control for
data to provide better TCO
• Big Data integration
• Integration with Hadoop and Spark
• TDI
• Hardware vendors leveraging existing infrastructure
• Scale up or Scale out
SAP HANA Evolution SP10 + - Infrastructure
7

8. SAP HANA Evolution SP10 - Infrastructure
8

9. SAP HANA Evolution SP10 + - Developer
9
• Web IDE platform
• No need to deploy HANA Studio to desktops
• Better code checking and performance tools
• Expensive SQL trace
• Performance trace
• Memory consumption reports
• HCP Extensions
• HANA as the underlying data platform for HCP and S4
• Other HANA capabilities
• IOT
• Streaming

10. SAP HANA Evolution SP10 + - Functionality
10
• Fiori Screens
• Many administration screens replaced with Fiori apps – eg DB Cockpit
• Enhanced HA/DR capabilities
• Better tools for administrating replication and restarts
• Backup and Restore
• Incremental backups and Differential backups
• Continuous log replay (Future)
• Workload management
• Ability to use mixed workloads by creating workload mapping
• NUMA Optimisations
• Cloud deployment
• Security enhancements for multi-tenant deployment

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SAP HANA Evolution SP10 - Functionality