Open Core model

 

Open Core Model

AIMLUX.ai PowerGraph:  Assists in complex migration from Oracle to SAP/IBM RISE, the combination of an open-source tool (Graphixa.ai) with a high-intelligence backend (Fusion KGNN and Powergraph) creates a compelling entry strategy for building a user base.

By offering Graphixa.ai as an open-source/free trial tool, you lower the "barrier to trust." Organizations can use it to map their data for free, while the "Value-Add" (the automated cleaning and industry-standard blueprints) resides in the paid Equitus/Aimlux services.

The "Freemium to Enterprise" User Journey

Phase	User Activity (Free/Open Source)	The "Hook" for Paid Services (Fusion/Powergraph)
1. Assessment	User downloads Graphixa.ai to map a small Oracle table to a simple CSV target to test the UI.	Fusion (KGNN) "listens" to the Oracle DB and uncovers hidden relationships the user didn't even know existed.
2. Blueprinting	User manually defines an ontology for "Customer" in Graphixa.	Powergraph provides a pre-configured SAP S/4HANA Clean Core ontology, saving the user months of manual definition.
3. Pilot Migration	User runs a 10,000-row pilot from Oracle to a sandbox using Graphixa's rule-based ETL.	Fusion identifies "Garbage" (duplicates, orphaned records) in the source that the simple rules missed, suggesting a cleaner path.
4. Scale & Rise	User realizes they need a governed, 10-million-row move to IBM RISE.	The full Equitus Fusion suite manages the high-volume orchestration, while Graphixa provides the mandatory audit lineage.

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How the Integration Builds the User Base

1. Graphixa.ai as the "Governance Gateway" (The Lead Magnet)

By making the Lineage and Provenance features of Graphixa.ai open-source, you solve a massive pain point for Oracle-to-SAP projects: Auditability.

• The Strategy: A data architect uses the free version to prove to their boss that they can track every record. Once the project scales to "Mission Critical" (IBM RISE), they naturally upgrade to the Equitus service for enterprise support and KGNN-powered automation.

2. Fusion (KGNN) as the "Oracle Expert"

Most Oracle-to-SAP migrations fail because the source data is "spaghetti."

• The Strategy: Graphixa.ai (Free) shows the user that their data is messy. Equitus Fusion (Paid) is marketed as the "Cleaning Engine" that uses KGNN to untangle the Oracle logic so it fits into the Graphixa orchestrator.

3. Powergraph as the "SAP Shortcut"

SAP S/4HANA has a very rigid data model.

• The Strategy: You provide "Powergraph Connectors" for Graphixa.ai. Users can try Graphixa for free, but they can purchase a Powergraph Subscription to get the exact mapping templates for SAP Business Partner or Universal Journal, reducing their time-to-market by 40%.

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Marketing the "Intelligent Migration" Stack

To build the user base, your messaging should focus on "Explainable AI Migration":

"Use Graphixa.ai (Open Source) to control your movement, Fusion to understand your past (Oracle), and Powergraph to define your future (SAP on IBM RISE). No more black boxes—just governed, semantic intelligence."

Component	Strategic Role	Specific Function in Oracle → SAP/IBM Rise
Equitus Fusion (KGNN)	Discovery & Correlation	The "Discovery Engine." It maps the hidden relationships in your Oracle database, identifying how "buried" tables relate to high-level business concepts.
Aimlux Powergraph	Knowledge Synthesis	The "Master Blueprint." It provides the pre-built industry ontologies for SAP/IBM RISE, acting as the target "perfect state" for the data.
Graphixa.ai	Operational Orchestration	The "Execution Engine." It takes the intelligence from Fusion and the blueprint from Powergraph to perform the actual, rule-based data movement.

To build a robust user base for an Oracle-to-SAP migration, Graphixa.ai should follow an Open Core model. This provides a free "Operational Utility" that solves immediate pain points (mapping and lineage) while reserving the "Intelligence Layer" (KGNN) and "Industry Blueprints" (Powergraph) for paying customers.

Below is the Community Roadmap that balances open-source accessibility with the Equitus Fusion value-add.

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Graphixa.ai Community Roadmap: "Governance First"

Phase 1: The Foundation (Open Source / Free Trial)

Focus: Winning the Data Architect's trust by solving "Spaghetti Mapping."

• Core Semantic Engine: Ability to create a custom Ontology and use it to map Source Fields $\rightarrow$ Target Columns.

• Deterministic Rule-Set: Basic transformation library (e.g., String to Number, Date formatting, Trim logic).

• SQL Generator: Generation of standard SQL INSERT and UPDATE statements for common DBs (Postgres, MySQL).

• Local Lineage: A "Record-Level" view showing the transformation path for a single data point.

• Manual Error Queue: A UI where users can manually fix rows that failed the rule-based check.

Phase 2: The Intelligence Bridge (The "Paywall" Transition)

Focus: Scaling from "One Table" to "Whole Domain" using Equitus Fusion.

 

Feature Category	Open Source (Graphixa)	Enterprise Paywall (Equitus Fusion/KGNN)
Discovery	Manual schema import.	Automated Fusion Crawl: KGNN identifies hidden relationships in Oracle schemas.
Mapping	Drag-and-drop manual mapping.	AI Suggestions: KGNN predicts mappings based on data patterns, not just names.
Clean Core	Build your own SAP Ontology.	Aimlux Powergraph: Pre-built SAP S/4HANA & IBM RISE blueprints.
Transform	Deterministic rules only.	Neural Transformation: KGNN handles complex, multi-table structural shifts.
Execution	Single-threaded loads.	High-Volume Orchestration: Optimized for IBM Power10/RISE bulk loads.

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Phase 3: The "Rise" Ecosystem (Service-Based Value)

Focus: Ensuring the SAP migration is "Clean Core" compliant.

• Rise-Ready Templates (Paid): Access to the Aimlux Powergraph library, which contains the specific mapping logic for SAP's "Universal Journal" and "Business Partner" models.

• Cross-System Provenance (Paid): Extending lineage beyond the database into the application layer (e.g., proving that an Oracle record is the same one now appearing in an SAP Fiori app).

• KGNN Feedback Loop (Paid): Automatically refining transformation rules based on errors caught during the migration process.

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Strategy: How this Builds the User Base

1. Lower the Entry Barrier: An Oracle DBA downloads Graphixa for free to solve a mapping headache. They now have their "Business Meanings" (Ontology) locked into the tool.

2. Highlight the Complexity: As the user tries to map a complex Oracle ERP system, Graphixa identifies that there are 5,000 unmapped columns.

3. Offer the "Easy Button": At this point, the user is offered a Free Trial of Equitus Fusion. The KGNN instantly maps 80% of those columns.

4. The Upsell: To move the final data into IBM RISE, the user requires the audit-grade lineage and SAP blueprints provided by the paid Aimlux Powergraph service.

Would you like me to draft a "Community License" summary that explains how users can contribute to the open-source rule-set while keeping their industry data private?

Would you like me to draft a "Community Roadmap" for Graphixa.ai that outlines which features to keep open-source vs. which to keep behind the Equitus Fusion paywall?

Unified Migration Architecture

 

Key Benefit of The "Clean Core" Migration:By using this stack, you avoid the "Garbage In, Garbage Out" problem common in Oracle-to-SAP migrations.In the AIMLUX.ai PowerGraph architecture, Graphixa.ai acts as the hands, while Fusion (KGNN) and Powergraph act as the brain.

• Fusion cleans the "Garbage" at the source.

• Powergraph ensures the "Core" stays clean.

• Graphixa.ai ensures the move is "Governed."

Migration from the High Cost Oracle environment to a modern Mid Cost SAP/IBM RISE stack—is significantly de-risked when you combine the operational precision of Graphixa.ai with the deep intelligence of Equitus.ai Fusion (KGNN) and Aimlux.ai Powergraph.

The Unified Migration Architecture\

 

Component	Strategic Role	Specific Function in Oracle → SAP/IBM Rise
Equitus Fusion (KGNN)	Discovery & Correlation	The "Discovery Engine." It maps the hidden relationships in your Oracle database, identifying how "buried" tables relate to high-level business concepts.
Aimlux Powergraph	Knowledge Synthesis	The "Master Blueprint." It provides the pre-built industry ontologies for SAP/IBM RISE, acting as the target "perfect state" for the data.
Graphixa.ai	Operational Orchestration	The "Execution Engine." It takes the intelligence from Fusion and the blueprint from Powergraph to perform the actual, rule-based data movement.

Step-by-Step Execution Workflow

1. Discovery (Fusion KGNN)

Before migrating, you must understand your technical debt. Equitus Fusion connects to the legacy Oracle environment.

• It uses Natural Language Processing (NLP) and Machine Learning to "crawl" the Oracle schemas.

• It identifies that TBL_99_XYZ actually contains critical Customer Billing data, which might have been missed by standard metadata tools.

2. Target Alignment (Powergraph)

Aimlux Powergraph hosts the "Clean Core" ontology required for SAP S/4HANA on IBM RISE.

• It defines exactly how SAP expects data to be structured (e.g., the complex "Business Partner" model in SAP vs. simple "Customers" in Oracle).

• It provides the semantic destination that Graphixa will target.

3. Semantic Orchestration (Graphixa.ai)

This is where the actual migration happens. Graphixa.ai pulls the "Discovery" results from Fusion and the "Target Blueprint" from Powergraph.

• Matching: Graphixa reasons that the Oracle data discovered by Fusion belongs in the SAP tables defined by Powergraph.

• Controlled Movement: It generates the SQL Upserts and bulk loads to move the data into the IBM Power10/RISE environment.

• Governance: It attaches Lineage to every record, so you can prove to SAP auditors exactly where an Oracle field ended up in the SAP Business Partner record.

4. The "Intelligent" Feedback Loop

If data fails during the move (e.g., an Oracle date format is incompatible with SAP), Graphixa.ai doesn't just error out.

• It feeds the error back to the Fusion KGNN.

• The KGNN analyzes the error and suggests a rule correction (e.g., "The Oracle format is DD-MON-YY; apply the ISO transformation rule").

• A Human Expert approves the suggestion, and Graphixa re-runs the batch.

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Key Benefit: The "Clean Core" Migration

By using this stack, you avoid the "Garbage In, Garbage Out" problem common in Oracle-to-SAP migrations.

• Fusion cleans the "Garbage" at the source.

• Powergraph ensures the "Core" stays clean.

• Graphixa.ai ensures the move is "Governed."

Intelligence-driven Analysis: Clean Core

AIMLUX.ai - PowerGraph: Fusion (KGNN) Enterprise Automation Engineer leverages the KGNN’s ability to "cross-reference" legacy Oracle logic against the optimized architecture of the target systems. 

This isn't just a translation; it is a structural optimization designed to take full advantage of IBM Power10/11 and the SAP HANA/DB2 columnar engines.

    

To navigate the 2027 SAP transition deadline, enterprise migrations require a hybrid approach: high-performance hardware (IBM Power Systems) and intelligence-driven analysis (KGNN/AI Consulting).

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Enterprise Migration Lifecycle: Oracle to SAP/IBM RISE- Fusion (KGNN)

The following chart outlines the lifecycle of a migration from legacy Oracle databases to SAP HANA or IBM DB2 on RISE, highlighting how Aimlux.ai (integrating Equitus.AI capabilities) accelerates each stage.

 

Stage	Process & Objectives	Aimlux.ai / KGNN Assistance	IBM Power Advantage
1. Discovery	Map all Oracle schemas, dependencies, and "dark data."	Automated Ingestion: KGNN builds a self-generating knowledge graph of your entire landscape.	Massive Throughput: Power10 processors ingest TBs of metadata without latency.
2. Assessment	Identify custom PL/SQL, compatibility gaps, and "Clean Core" opportunities.	Semantic Analysis: AI identifies logic patterns rather than just text, flagging 70%+ for auto-remediation.	Memory Density: Analyzes entire 5TB+ datasets in-memory for instant results.
3. Planning	Design target architecture for SAP HANA or IBM DB2 on RISE.	Predictive Mapping: AI recommends the optimal "Brownfield" or "Greenfield" path based on graph insights.	Certified Resilience: Architecture design for 99.999% availability on IBM Power Virtual Server.
4. Execution	Data movement, schema conversion, and custom code rewriting.	Zero-ETL Transition: KGNN automates complex mapping, reducing manual dev hours by up to 80%.	Live Partition Mobility: Move workloads with zero downtime during the cutover phase.
5. Validation	Ensure semantic parity and data integrity post-migration.	Autonomous Reconciliation: AI validates that data "meaning" is preserved, not just the raw bits.	Hardware Encryption: Transparent Data Encryption (TDE) at the chip level for secure validation.
6. Operations	Post-migration tuning, AI-driven insights, and hybrid cloud management.	Continuous Optimization: AI monitors the "Clean Core" to prevent future technical debt accumulation.	Scalability: Seamlessly scale SAP HANA instances on-demand in the IBM RISE environment.

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Strategic Value of Aimlux.ai Consulting

Aimlux.ai doesn't just provide "labor"; it provides an Intelligence-Driven Platform that specifically addresses the risks of the 2025 deadline:

1. Risk Mitigation (The "Clean Core" Strategy)

By using KGNN to analyze legacy Oracle code, Aimlux.ai ensures that only necessary logic is moved. This aligns with SAP's Clean Core mandate for RISE, reducing future upgrade costs and ensuring your SAP HANA environment isn't cluttered with 20-year-old PL/SQL "ghosts."

2. Operational Efficiency on IBM Power10/11

For databases in the 2TB–5TB+ range, standard x86 cloud environments often struggle with memory bottlenecks. Aimlux.ai optimizes your migration for IBM Power Virtual Server, which offers:

• 2.5x more memory bandwidth than x86 alternatives.

• Architecture consistency between on-premises Power systems and the IBM Cloud, reducing migration risks by up to 25%.

3. Accelerated ROI

AIMLUX.ai consulting - PowerGraph.ai  can reduce manual mapping and remediation hours by 70-80%, the Aimlux.ai approach allows enterprises to achieve full ROI within the first 12 months, avoiding the "talent wars" and high consultant rates expected as the 2025 deadline nears.

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Custom Code Remediation:

Oracle Cloud is the TOP Tier of Database Costs and traditional migration is costly, AIMLUX.ai automates Custom Code Remediation (CCR) which is the single greatest bottleneck in database migration, often consuming 40% to 60% of the total project timeline. When moving from Oracle to SAP HANA or IBM DB2, legacy PL/SQL often contains complex logic, triggers, and proprietary extensions that don't translate 1:1.

Equitus KGNN automates this by treating code as a connected graph of intent in 3 Dimensions rather than just 2 in Property Graphs lines of text. Here is the step-by-step breakdown:

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Step-by-Step Custom Code Remediation via Fusion (KGNN) 

Utilizing an Enterprise Automation Engineer to enable shifting from Oracle to SAP/ IBM DB2 integration requires that the databases and API systems can function smoothly, requiring new PL/SQL code to enhance the integration efficacy and speed. 

1. Semantic Parsing & Node Extraction

Instead of a simple "find and replace," the KGNN ingests the Oracle PL/SQL codebase and deconstructs it into nodes.  These 

• Logic Nodes: Functions, procedures, and calculations.

• Dependency Edges: How a specific trigger in Oracle affects a table that SAP HANA needs to access.

• The Result: A visual "Code Map" that shows exactly which pieces of custom logic are critical and which are obsolete.

The Technical Process:

• Deconstruction of "Code Intent": The KGNN doesn't just read the text of an Oracle stored procedure; it parses the Abstract Syntax Tree (AST). It breaks down the PL/SQL into "Intent Nodes"—identifying whether a block of code is performing a data transformation, a security check, or a calculation.

• Relationship Mapping (The Edge Construction): While a standard parser sees a table, the KGNN sees the Edges—the invisible dependencies where a specific API call triggers a sequence of Oracle functions that ultimately impact an SAP business process.

• Contextual Metadata Extraction: It extracts the "Tribal Knowledge" embedded in the database schema—identifying which legacy tables are actually core to the business and which are redundant "ghost" tables that should not be migrated to the IBM RISE cloud.

2. Pattern Matching against the "Target Ontology"

Enterprise Automation Engineer leverages the KGNN’s ability to "cross-reference" legacy Oracle logic against the optimized architecture of the target systems. This isn't just a translation; it is a structural optimization designed to take full advantage of IBM Power10 and the SAP HANA/DB2 columnar engines.

The KGNN compares the extracted Oracle patterns against a pre-built library of SAP HANA (SQLScript) and IBM DB2 (SQL PL) best practices.

• Contextual Translation: It identifies if a proprietary Oracle hint (e.g., /*+ INDEX(...) */) has a semantic equivalent in the target database or if the target’s optimizer handles it natively.

• Optimization Identification: The AI recognizes "Row-based" logic in Oracle that should be converted to "Columnar-optimized" logic in HANA to take advantage of in-memory performance.

3. Impact Propagation Analysis

One change in a stored procedure can break five connected applications. The KGNN performs Change Impact Analysis:

• It predicts the "downstream" effects of modifying a specific piece of custom code.

• It flags "High-Centrality" code—logic that is touched by multiple business processes—requiring human-in-the-loop validation, while automating the "Leaf" nodes (isolated logic).

4. Automated "Clean Core" Synthesis

To align with SAP's Clean Core strategy (especially for RISE with SAP), the KGNN identifies custom code that can be replaced by Standard SAP Functionality.

• It maps custom Oracle-side calculations to standard HANA Calculation Views.

• This prevents "technical debt carry-over," ensuring the new environment is leaner than the legacy one.

5. Iterative Verification & Explainability

Unlike standard AI, the KGNN provides an audit trail. For every line of code converted:

• Provenance: It shows the original Oracle source.

• Reasoning: It explains why the specific target syntax was chosen.

• Unit Test Generation: It automatically suggests test parameters based on the data relationships discovered in the analysis phase.

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Efficiency Comparison: Custom Code Remediation

In a traditional migration, Custom Code Remediation is the single greatest bottleneck, often consuming 40% to 60% of the total project timeline. When moving from Oracle to SAP HANA or IBM DB2, legacy PL/SQL often contains complex logic, triggers, and proprietary extensions that don't translate 1:1.

Equitus KGNN automates this by treating code as a connected graph of intent rather than just lines of text. Here is the step-by-step breakdown:

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Step-by-Step Custom Code Remediation via KGNN

1. Semantic Parsing & Node Extraction

Instead of a simple "find and replace," the KGNN ingests the Oracle PL/SQL codebase and deconstructs it into nodes.

• Logic Nodes: Functions, procedures, and calculations.

• Dependency Edges: How a specific trigger in Oracle affects a table that SAP HANA needs to access.

• The Result: A visual "Code Map" that shows exactly which pieces of custom logic are critical and which are obsolete.

2. Pattern Matching against the "Target Ontology"

The KGNN compares the extracted Oracle patterns against a pre-built library of SAP HANA (SQLScript) and IBM DB2 (SQL PL) best practices.

• Contextual Translation: It identifies if a proprietary Oracle hint (e.g., /*+ INDEX(...) */) has a semantic equivalent in the target database or if the target’s optimizer handles it natively.

• Optimization Identification: The AI recognizes "Row-based" logic in Oracle that should be converted to "Columnar-optimized" logic in HANA to take advantage of in-memory performance.

3. Impact Propagation Analysis :  AIMLUX.ai has uses experience and automation engineer to oversee integration 

One change in a stored procedure can break five connected applications. The KGNN performs Change Impact Analysis:

• It predicts the "downstream" effects of modifying a specific piece of custom code.

• It flags "High-Centrality" code—logic that is touched by multiple business processes—requiring human-in-the-loop validation, while automating the "Leaf" nodes (isolated logic).

4. Automated "Clean Core" Synthesis

To align with SAP's Clean Core strategy (especially for RISE with SAP), the KGNN identifies custom code that can be replaced by Standard SAP Functionality.

• It maps custom Oracle-side calculations to standard HANA Calculation Views.

• This prevents "technical debt carry-over," ensuring the new environment is leaner than the legacy one.

5. Iterative Verification & Explainability

Unlike standard AI, the KGNN provides an audit trail. For every line of code converted:

• Provenance: It shows the original Oracle source.

• Reasoning: It explains why the specific target syntax was chosen.

• Unit Test Generation: It automatically suggests test parameters based on the data relationships discovered in the analysis phase.

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Efficiency Comparison: Custom Code Remediation

Task	Traditional Manual Method	Equitus KGNN
Dead Code Detection	Manual Audit (Weeks)	Automated (Minutes)
Syntax Conversion	Regex/Manual Rewriting	Semantic Transformation
Dependency Mapping	Documentation/Guesswork	Real-time Graph Visuals
Logic Validation	Trial and Error	Predicted Impact Analysis