How Emulus Consulting Moved SAP ABAP Workloads to Apache Spark with 72-88% Automated Accuracy

Table of Contents
Emulus Consulting LLP used the Pulse Convert SAP ABAP to Spark Accelerator to convert ABAP code to Apache Spark at scale, across engagements of 200 to 45,000 objects. Between 72% and 88% of the code was converted automatically, and every object was validated against its source.
Case study at a glance
| Item | Detail |
|---|---|
| Client | Emulus Consulting LLP, a data analytics, research, software services and Generative AI consultancy |
| Migration | SAP ABAP to Apache Spark |
| Solution | Pulse Convert SAP ABAP to Spark Accelerator by Office Solution AI Labs |
| Scale | 200 to 45,000 ABAP objects |
| Automated accuracy | 72-88% |
| Engineer-led fine-tuning | The remaining 12-28% of logic |
| Validation | Source-to-target and functional comparison on every object |
How we measure accuracy: the percentage of original ABAP code converted into executable Spark code that passes source-to-target validation without manual changes.
The challenge: ABAP logic has no one-to-one equivalent in Spark
SAP ABAP estates grow for years. They hold custom reports, function modules, transformations and business rules that the business still depends on. Moving that logic to Apache Spark brings elastic scale and a modern data platform, but ABAP does not translate line by line.
Different programming model
ABAP internal tables, loops and Open SQL must be re-expressed as distributed Spark transformations.
Business rules buried in code
Years of custom logic must behave exactly as before, or reports and downstream data break.
Scale makes manual rewrite impractical
A manual rewrite is slow and costly at 200 objects and unrealistic at 45,000.
No room for silent errors
Every converted object must be proven equivalent to its source before go-live.
Our approach: automate the repeatable, expert-review the rest
Automated discovery and assessment
Pulse Convert inventories ABAP assets and analyses dependencies, complexity and readiness. This shows what to migrate first and what to retire.
AI-assisted conversion
The accelerator converts ABAP logic, calculations and business rules into Spark code, handling the repeatable bulk of the estate automatically.
Migration validation
Each converted object is compared against its ABAP source and checked functionally, so differences are caught before they reach production.
Expert fine-tuning and delivery
Our engineers resolve the remaining 12-28% of logic: complex routines and edge cases that need human judgement. Delivery runs as a proof of concept followed by phased migration.
Results
72-88% converted automatically
The majority of ABAP code became executable Spark code without manual rewriting.
200 to 45,000 objects supported
The same approach worked from small estates to very large ones.
Far less manual effort
Engineers focus on the hard 12-28% instead of rewriting everything from scratch.
Verified, not assumed
Every object was validated against its source, so teams can trust the migrated logic.
Why this approach works for SAP ABAP to Spark
It is honest about automation. No tool converts every line of custom ABAP perfectly. Pulse Convert automates what is repeatable and routes the rest to experienced engineers, so accuracy is earned and checked rather than claimed.
It scales. Discovery, conversion and validation are automated, so cost and effort grow far more slowly than object count.
It reduces risk. Source-to-target validation and a phased rollout mean problems surface early, while they are still cheap to fix. Teams looking to modernize business intelligence reports alongside backend ETL can also explore our Tableau to Power BI migration accelerator, or discover how legacy database estates transition to the cloud in our MS Access to Microsoft Fabric migration case study.
Frequently asked questions
Frequently Asked Questions
See what Pulse Convert does with your ABAP code
Start with a free proof of concept. We convert a sample of your code, validate it against the source, and show you the accuracy before you commit to anything.