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SAP · SAP S/4HANA → Databricks · Migration

Proven SAP S/4HANA to Databricks Migration with Fixed Scope

We replicate your S/4HANA structures directly to Databricks Lakehouse. Senior engineers automate ABAP CDS logic into PySpark. Fixed scope, 5-10 months. Legacy support remains active.

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No-obligation assessment. Response within 24 hours.

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Powered by the 3PS Migration Engine

The lowest-cost way off SAP S/4HANA: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your SAP S/4HANA estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Databricks, automated where it's safe
Parity validation
Side-by-side testing proves Databricks matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40-70%
savings vs OEM support renewals
24/7
US-based support engineers
Multi-vendor
coverage across platforms

How we support SAP S/4HANA → Databricks after migration

  • Fixed-scope project with senior platform engineers
  • Automated translation of ABAP CDS into PySpark
  • Combine S/4HANA data with unstructured data for AI
  • Support legacy system during migration, no forced cutover
  • Predictable timeline of 5-10 months
  • 40-70% savings on legacy support while you plan

High maintenance costs for SAP BW/4HANA or Datasphere

Maintaining separate SAP data warehouse solutions drains budget. A single Lakehouse on Databricks eliminates these costs.

Complex ABAP CDS view dependencies

Manual translation of ABAP logic to Spark is error-prone and slow. Our automated tooling handles it directly.

High-frequency updates in S/4HANA transaction tables

Real-time replication of fast-changing transaction data requires careful pipeline design. We engineer for consistency and low latency.

SAP S/4HANA → Databricks migration — your questions answered

How do you migrate SAP S/4HANA to Databricks without disrupting operations?+

We keep your S/4HANA under vendor support during the project. Our fixed-scope migration runs in parallel, with live data replication. You choose the cutover timeline.

Can you handle ABAP CDS views and hierarchical GL account structures?+

Yes. Our automated tooling translates ABAP CDS views into highly performant PySpark code, preserving hierarchies from SAP GL accounts and other structures.

What about high-frequency transaction updates from S/4HANA?+

We design pipelines for incremental loads and change-data-capture to keep your Databricks Lakehouse up to date without batch latency.

How long does a typical S/4HANA to Delta Lake migration take?+

Most projects run 5-10 months with a team of 4-7 senior consultants. Budget typically ranges from $120,000 to $1,000,000 depending on complexity.

Ready to Migrate S/4HANA to Databricks?

Start with a free feasibility assessment. Our senior engineers will map your S/4HANA environment to Databricks Lakehouse, identify automation opportunities, and provide a fixed-cost proposal. After migration, we offer ongoing Databricks platform optimization, Delta Lake maintenance, and Spark pipeline tuning to keep your new environment at peak performance.

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