Migrating to SAP HANA is more than a technical upgrade; it is a shift in how systems, data, and teams operate. The in-memory platform promises faster insights, streamlined processes, and simpler architectures, but the journey often brings hidden challenges.
Projects can stall when scope expands unchecked, data sizing is misjudged, or legacy code resists optimization. Integration hurdles, compliance gaps, weak testing, and limited skills can further delay success and raise costs.
Here we have highlighted seven of the most common challenges teams face during an SAP HANA migration and offer practical steps to address them.
By recognizing risks early and building steady habits, you can plan with confidence, avoid costly surprises, and lead your team to a smooth and successful cutover.
1. Extra Work And Readiness
Many HANA projects start with a clear aim and then grow. New reports sneak in. Extra source tables appear. Someone added a last-minute module. Each ad seems small, but the total load swells.
The result is a plan that no longer fits the budget or the date. To avoid this, lock scope with a short backlog of “next wave” items. Run a readiness check that covers infra, data, code, and people.
In projects, weekly red-amber-green checkpoints help spot risks early, while SAP HANA initiatives benefit from keeping a single owner to maintain strong scope control. If a change is vital, swap it with something of equal size. Keep testing and documentation moving in step with the build.
When you hold the line, the team stays focused, and the project keeps pace.
2. Data Sizing And Memory Planning
HANA runs in memory, so sizing matters. Teams often copy old DB sizes and add a guess. That can waste money or cause slowdowns. Start by profiling real data growth, compression, and working set needs.
Plan for peak loads, not just daily use. Keep an eye on hot vs warm data tiers, and match them to business needs. Use a simple weekly review:
- Check current memory use and growth trend
- Review hot tables and partition strategy
- Confirm column store vs row store choices
- Revisit archiving and data aging rules
With this rhythm, you can right-size early, avoid costly overbuilds, and still keep room for spikes and new apps. Good sizing also speeds up restores and restarts, which keeps your cutover safer and your ops team happier.
3. Custom Code And SQL that Do Not Fit
ABAP and SQL written for old databases can misbehave on HANA. There are too many joins. Some loops pull huge result sets. Some hints make no sense now. The fix is to scan and adapt the code base with clear rules. Focus on heavy reports and batch jobs first.
Use HANA-friendly patterns like push-down of logic and clean, set-based queries. Test with real data, not toy sets. Add code reviews with a short checklist and automate checks in CI. Track the top ten slowest jobs and chip away each week. When you tune the worst parts early, the system feels fast to users on day one, and trust grows.
4. Integration, Data Quality, And Migration Runs
Moving data is more than copy and paste. Feeds break, mappings drift, and quality issues show up late. Plan dry runs that mirror the real cutover. Keep the steps small and repeatable. Share a runbook that lists tasks, owners, and timing. Use this checklist during each practice run:
- Validate source counts and target counts
- Reconcile key business totals (orders, stock, balances)
- Test delta loads and catch-up logic
- Record defects and fix before the next run
By drilling this loop, you cut risk and reduce downtime. People learn their roles. Timing gets faster. When go-live weekend arrives, the team knows the moves, and leaders can focus on decisions, not surprises.
5. Security, Roles, And Compliance Gaps
HANA changes how you handle users, roles, and encryption. Old patterns do not always map cleanly. Start with a simple access model and grow only as needed. Use least privilege and separate admin duties. Turn on encryption at rest and in transit.
Align audit settings with your compliance needs and keep logs off the main system. Test SSO and password resets early, not on cutover night. Run a tabletop drill for an access issue and a data breach scenario. Write short guides for the help desk and the night shift. Clean security keeps trust high and reduces noisy tickets after launch.
6. Testing Depth And Performance Baselines
Thin testing leads to noisy go-lives. Teams test happy paths and skip scale and failover. Create a test plan that mirrors real use. Set clear entry and exit gates for each phase. Build simple, repeatable datasets and time your key flows. Keep this quick list on the wall:
- Define KPIs: load time, batch window, fallback steps
- Test peak volumes and concurrency
- Simulate node loss and restart behavior
- Capture before/after timings and share weekly
With honest baselines, you can spot regressions fast and prove wins to sponsors. Users feel the speed, and leaders see the numbers. That keeps momentum strong.
7. Skills, Support Model, And Post-Go-Live Care
Even a clean go-live can wobble without the right support. HANA skills are scarce in some teams. Choose a simple support model with clear handoffs. Pair your internal staff with a few outside experts for the first month. Create bite-sized training for DBAs, developers, and analysts.
Use daily health checks and a short runbook for the morning shift. Track the top pain points and fix them in rapid waves. Celebrate early wins so teams stay engaged. With steady care, the system settles fast, and your business sees value sooner.
Conclusion
A move to SAP HANA is a change in speed, shape, and mindset. Projects stall when scope drifts, data grows unplanned, code fights the engine, and testing is thin. They thrive when team size is with facts, practice the data moves, and keep security simple and strong.
They thrive when performance is measured and shared, and when skills grow in small steps. Use the checklists to anchor weekly habits. Keep risk logs short and active. Keep sponsors updated with clear numbers, not slides full of buzzwords.
Most of all, keep the cutover plan calm, honest, and well-rehearsed. Do this, and your go-live will feel less like a cliff and more like a steady ramp into faster insight and simpler operations.