Proven SAP s/4HANA to Snowflake migrations with fixed scope and senior engineers
We extract your S/4HANA Data using proprietary tools that parse SAP metadata natively, then load it into Snowflake with clean schemas. Your timeline, your budget – no forced cutover.
The lowest-cost way off SAP S/4HANA: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.
How we support SAP S/4HANA → Snowflake after migration
- ✓Parse SAP cluster and pooled tables automatically.
- ✓Decrypt application-level encoded columns natively.
- ✓Translate HANA Calculation Views into Snowflake models.
- ✓Fixed-scope project: 3–6 senior engineers, 4–9 months.
- ✓24/7 US-based support from Day 1 of planning.
- ✓Save 40–70% on legacy support while you migrate.
S/4HANA analytics costs spinning out of control
Every ad-hoc report or BI dashboard triggers massive RAM and storage upgrades on your SAP database. You’re paying for capacity you only need at peak query times – and it gets worse as Data grows.
Reporting performance that frustrates every user
Raw S/4HANA databases weren’t built for heavy analytical workloads. Slow query response times and daily batch Windows leave your Data team fighting for resources instead of delivering insights.
Fear of losing access to proprietary SAP structures
Cluster tables, pooled tables, encoded columns – these aren’t just technical jargon. They block standard ETL tools and create real migration risk. You worry about hidden rework and missed business logic.
SAP S/4HANA → Snowflake migration — your questions answered
How do you handle SAP proprietary cluster and pooled tables?+
Our automated extractors parse SAP metadata natively, not just the table definitions. We identify cluster/pooled structures, unnest them correctly, and map them to clean Snowflake schemas – no manual reverse-engineering.
What about application-level encoded columns – can you decrypt them?+
Yes. Our extractors understand SAP’s encoding patterns (like ABAP DDIC domains and Data elements). We translate values into human-readable formats as part of the extraction feed, so your Snowflake Data is immediately usable.
How do you handle HANA Calculation Views and analytical privileges?+
We export the Calculation View logic and re‑implement it as Snowflake views or dbt models. Analytical privileges are re-expressed as Snowflake row‑access policies. The result gives you the same semantics without the HANA runtime cost.
What happens to my vendor support during and after migration?+
Your current SAP support contract remains active for the legacy system as long as it’s in effect – you migrate on your own timeline. If the contract lapses before the move is complete, our third-party support covers most operational issues on the legacy platform (excluding vendor patches). There’s no forced cutover window.
Unlock your SAP-to-Snowflake Data architecture blueprint
Let’s map your S/4HANA landscape into a Snowflake Data architecture that performs, scales, and costs less. Our senior engineers will walk you through exactly how we parse proprietary structures, what the timeline looks like for your Data volume, and how you can start saving on support costs from day one. The blueprint is free. The conversation is zero pressure.