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Hot Topics 2026

Migration from ORA to HDB with 120TB source data

 Requirement: Optimal resource utilization and rapid migration. 

Goal: Stable/high-performance operation. Timeframe: 12/2024 - ongoing. 


Our client faces a mammoth task: migrating a mature 120TB Oracle system to S/4HANA. Not an everyday task for us either, but these are precisely the kinds of challenges we love at XLC. Partitioning, migration performance, and SQL performance during operation represent the biggest hurdles.  

RISE Migration

Requirement: Stable transition to RISE Goal: Optimized migration / Ensuring continued operation Outcome: - Timeframe: 01/2025 - ongoing Our client has decided to migrate all systems within the RISE journey to ERP Cloud PCE. We are supporting the migration activities so that ECS can take over operations. Together with Solid Cloud, we are handling the SAP portion of the migration on the client's side.

Migration 40TB Oracle nach HANA

Requirement: Optimal resource utilization and rapid migration. Goal: Stable/high-performance operation. Timeframe: 12/2025 - ongoing. Our client faces a challenge: migrating a mature 40TB Oracle system with numerous custom modifications to HANA. Migration performance and SQL performance during operation are the biggest hurdles.

RISE / ERP Cloud Private Migration of the complete SAP landscape

________________

Industry

Retail

________________

Location

Germany

________________

Number of employees

>390,000 employees

________________

Period

since 2025/02

________________

SAP products used

S/4HANA 2023 / EWM / CAR / BWoH


  • Migration partner for the entire migration cycle
  • Lead Administrator for Migration
  • Project planning
  • Exchange with SAP ECS
  • Performance check and tuning (HANA Deep Dive)
  • Sizing
  • Scale-out to scale-up migration
  • Implementation of migrations according to ECS conditions
  • Conception of the new operating concept
  • More than 60 SAP systems with a target volume of over 50 TB in ECS

________________

platform

Intel / Linux / DB2 / HANA

________________

Environment

Source: SLES15 / DB2 / HANA 2.0 SPS05

Target: SLES15 / HANA 2.0 SPS07 / SPS08

________________

Number of systems

>60 SIDs

________________

resources

50 TB RAM

>2500 vCPUs

________________

Result

high-performance migration

________________

Project Manager

Matthias Sander

Jens Gleichmann



Support for HANA and S/4HANA updates

________________

Industry

Mechanical and plant engineering

________________

Location

Germany

________________

Number of employees

>14,000 employees

________________

Period

since 2025/08

________________

SAP products used

S/4HANA 2023


  • Health Check
  • HyperCare
  • Optimizing SQL Performance
  • Partition layout
  • Linux and HANA parameter recommendations

________________

platform

Intel x86

________________

Environment

Source: SLES15 / HANA 2.0 SPS05

Target: SLES15 / HANA 2.0 SPS07

________________

Number of systems

3 SIDs

________________

resources

4 TB RAM

>80 physical cores

________________

Result

Runtime optimization

________________

Project Manager

Dominik Fiedler

Matthias Sander



S/4HANA Conversion Optimization

________________

Industry

Insurance

________________

Location

Germany

________________

Number of employees

>2,000 employees

________________

Period

since 2024

________________

SAP products used

S/4HANA 2023


  • Bottleneck analysis and HANA optimization
  • Partition layout and data tiering design
  • Data tiering design and troubleshooting

________________

platform

IBM Power

________________

Environment

Source: AIX / Oracle

Target: SLES15 / HANA 2.0 SPS07

________________

Number of systems

4 SIDs

________________

resources

16 TB RAM

>80 physical cores

________________

Result

Runtime optimization

________________

Project Manager

Dominik Fiedler



S/4HANA Conversion Optimization

________________

Industry

Retail

________________

Location

Germany

________________

Number of employees

>25,000 employees

________________

Period

since 2024

________________

SAP products used

S/4HANA 2023 / 2025


  • Bottleneck analysis and HANA optimization
  • Partition layout and data tiering design
  • Data tiering design and troubleshooting
  • HANA and Linux parameterization

________________

platform

GCP

________________

Environment

Source: Oracle on-premise

Target: SLES15 / HANA 2.0 SPS08

________________

Number of systems

8 SIDs

________________

resources

65 TB RAM

>3000 vCPUs

________________

Result

Runtime optimization

________________

Project Manager

Jens Gleichmann

Dominik Fiedler



Data Tiering Project

________________

Industry

Retail

________________

Location

Germany

________________

Number of employees

>390,000 employees

________________

Period

since 2024

________________

SAP products used

S/4HANA 2021


  • System Health Check
  • Design Partitioning
  • Concept development including potential savings for data tiering
  • Implementation commands and documentation


________________

platform

Intel

________________

Environment

RHEL8 / HANA 2.0 SPS07

________________

Number of systems

3 SIDs

________________

resources

8 TB RAM

>200 vCPUs

________________

Result

HANA Sizing Optimization

________________

Project Manager

Dominik Fiedler



HANA Expert Services MS Azure

________________

Industry

industrial manufacturing

________________

Location

Germany

________________

Number of employees

>12,000 employees

________________

Period

2026

________________

SAP products used

IS-U, CRM


  • Mapping of the workload
  • Performance improvement
  • Reducing main memory consumption
  • Partitioning in the migration process (Interval Option)
  • Health Check
  • Parameterization
  • Introduction NSE
  • Introduction Inverted Individual Indexes
  • Cost savings in Azure through instance resizing
  • Introduction to Workload Classes
  • HSR optimization


________________

platform

MS Azure

________________

Environment

SLES15 SP5 / HANA 2.0 SPS07

________________

Number of systems

12 SIDs

________________

resources

37 TB RAM

>1400 vCPUs

________________

Result

Stable and high-performance operation

________________

Project Manager

Jens Gleichmann



Support for SAP HANA operations

________________

Industry

Insurance

________________

Location

Germany

________________

Number of employees

>10,000 employees

________________

Period

since 2021

________________

SAP products used

S/4HANA 2021



  • Planning Update
  • HANA configuration
  • Implementation Update
  • Monitoring / performance tuning (HANA Cockpit)
  • Security settings
  • Certificate Management
  • architecture


________________

platform

RHEL 8.x / HANA 2.0 / SPS07

VMware

________________

Number of systems

>10 SIDs

________________

resources

>4 TB RAM

>200 vCPUs on VMware


  SAP HANA Migration

Oracle => HANA

________________

Industry

Furniture manufacturer

________________

Location

Germany

________________

Number of employees

>4,000 employees

________________

Period

from 2025/10

________________

SAP products used

ERP, EWM, SCM


  • Planning Migration
  • Sizing
  • Implementing migration
  • HANA Installation / Configuration
  • SAP AS installations
  • Optimizing migration runtimes
  • Performance Tuning
  • Troubleshooting



________________

platform

x86

________________

operating system

RHEL 8

________________

Number of systems

>6 SIDs

>30 AS

________________

resources

>40 TB RAM

>400 vCPUs x86 Baremetal

________________

Project manager

Jens Gleichmann

  SAP HANA NSE

Industry

Retail

________________

Location

Germany

________________

Number of employees

>170,000 employees

________________

Period

from 2021/04

________________

SAP products used

S/4 Retail, MDG, TM, CAR, F&R

  • Analysis of NSE candidates
  • Optimizing resource utilization
  • KPI Definition
  • NSE deployment at table level
  • Partitioning
  • Monitoring for NSE
  • Performance tuning



________________

platform

MS Azure

________________

Environment

Source: SLES15 SP4 / HANA 2.0 SPS5/7

________________

Number of systems

18 SIDs

________________

resources

200 TB RAM

>12000 vCPUs

________________

Result

Savings of over 26TB of main memory

________________

Project Manager

Jens Gleichmann

  SAP HANA NSE on BW/4HANA

________________

Industry

Retail

________________

Location

Germany

________________

Number of employees

>170,000 employees

________________

Period

from 2023/10

________________

SAP products used

BW/4HANA 2022, IQ


  • Analysis of NSE candidates
  • Optimizing resource utilization
  • KPI Definition
  • NSE deployment at table level
  • Identification BW Troubleshooting Notes
  • Use of Inverted Individual Indexes
  • Optimization Concat Attributes
  • Optimization of Key Attributes (Key Fields)


________________

platform

Bare Metal / VMware

________________

Environment

Source: SLES15 SP5 / HANA 2.0 SPS07

________________

Number of systems

4 SIDs

________________

resources

60 TB RAM

>1800 vCPUs

________________

Result

Savings of over 15TB of main memory

________________

Project Manager

Jens Gleichmann

  HANA Performance Tuning

________________

Industry

Construction and industry

________________

Location

Denmark

________________

Number of employees

>1,000 employees

________________

Period

from 2021/12

________________

SAP products used

ERP

 

  • Architektur
  • Sizing
  • Health Check
  • HANA SQL Performance Tuning

 

________________

platform

IBM Power

________________

Environment

Source: SLES15 SP4 / HANA 2.0 SPS05

________________

Number of systems

3 SIDs

________________

resources

>6 TB RAM

________________

Project Manager

Matthias Sander

  zyklische HANA Health Checks

________________

Industry

IS-U

________________

Location

Germany

________________

Number of employees

>11,000 employees

________________

Period

from 2024/12

________________

SAP products used

HANA 2.0   XSA native


  • architecture
  • Sizing
  • VMware optimizations
  • HA/DR concept
  • Scalability
  • HANA Partitioning
  • Workshops for knowledge transfer of new HANA features
  • HANA Performance Tuning




platform

VMware

________________

Environment

Source: SLES15 SP5 / HANA 2.0 SPS07

________________

Number of systems

3 SIDs

________________

resources

>4 TB RAM

________________

Project Manager

Jens Gleichmann

Dominik Fiedler


  SAP S/4HANA Migration

________________

Industry

Conglomerate

________________

Location

Germany

________________

Number of employees

>80,000 employees

________________

Period

from 2024/11

________________

SAP products used

ERP


  • architecture
  • Sizing
  • Identifying potential savings
  • Migration optimization
  • Scalability
  • HANA Partitioning
  • Workshops for knowledge transfer of new HANA features
  • HANA SQL Performance Tuning


________________

platform

IBM Power

________________ 

Environment

Source: Oracle / AIX

Target: SLES15 SP6 / HANA 2.0 SPS07

________________

Number of systems

15 SIDs

________________

resources

>80 TB RAM

________________

Project Manager

Dominik Fiedler

Jens Gleichmann

Matthias Sander


  SAP HANA Health Check

Workload Management

________________

Industry

Equipment and machinery for agriculture and forestry

________________

Location

Germany

________________

Number of employees

>19,000 employees

________________

Period

from 2024/06

________________

SAP products used

ERP, S/4HANA


  • Optimizing resource utilization
  • Partitioning
  • KPI Definition
  • SQL optimization
  • HANA Monitoring
  • Limitation via workload classes
  • HANA Workshop
  • NSE Forecast
  • HSR: multi-tier replication



platform

IBM Power

________________

Environment

Source: SLES15 SP5 / HANA 2.0 SPS07

________________

Number of systems

>20 SIDs

________________

resources

>25TB RAM

>200 CPUs

________________

Result

Stabilization / Performance Improvement

________________

Project manager

Dominik Fiedler

Matthias Sander

  SAP HANA Health Check

Workload Management

________________

Industry

Heating technology

________________

Location

Germany

________________

Number of employees

>15,000 employees

________________

Period

from 2023/12

________________

SAP products used

ERP, S/4HANA


  • Optimizing resource utilization
  • Housekeeping / Archiving
  • Partitioning
  • KPI Definition
  • SQL optimization
  • HANA Monitoring



platform

IBM Power

________________

Environment

Source: SLES15 SP4 / HANA 2.0 SPS07

________________

Number of systems

>20 SIDs

________________

resources

>32TB RAM

>1000 vCPUs

________________

Result

stabilization

________________

Project manager

Dominik Fiedler

Matthias Sander

SAP operation support

________________

Industry

Furniture manufacturer

________________

Location

Germany

________________

Number of employees

>4,000 employees

________________

Period

from 2022/06

________________

SAP products used

ERP, EWM, SCM


  • SAP/OS Maintenance
  • SAP Upgrades
  • HANA Upgrades
  • SAP installations
  • Performance Tuning
  • Troubleshooting
  • Integration of new architectures
  • Activating new HANA features
  • continuous sizing / growth analyses
  • Health checks


________________

platform

x86 VMware

________________

operating system

RHEL 8

________________

Number of systems

>30 SIDs

>40 HDBs

>60 AS

________________

resources

>25 TB RAM

>400 vCPUs on VMware

________________

Project manager

Michael Hermsen

Jens Gleichmann