PowerGraph Arcxa

PowerGraph Proposes - Equitus ARCXA 's integrating triple store architecture with IBM Power10/Power11 SQL on z/OS , Db2 for z/OS , and SAP HANA establishes a zero-ETL, semantic data layer for CCAR (Comprehensive Capital Analysis and Review) oversight.

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Arcxa architecture accelerates regulatory reporting by eliminating slow batch transformations and providing real-time data lineage.

1. Equitus ARCXA Triple Store: Semantic Layer & Lineage

ARCXA uses an RDF (Resource Description Framework) triple store data plane ( arcxa-shard) to normalize legacy banking tables without physically moving or altering the underlying databases.

• Dynamic Ontology Mapping: Translates native schema names across DB2 and SAP HANA into a single standardized CCAR ontology (eg, mapping CUST_RISK_RATand HANA_CREDIT_SCOREinto ccar:CreditRiskScore).

• Cryptographic Lineage Chains: ARCXA captures transformations at the rule and value level. Every calculation used in stress-testing carries a tamper-evident audit trail back to its source record—addressing strict federal examination requirements.

• Pre-Execution Anomaly Detection: Validates schema changes and flags missing fields (eg, unassigned collateral types) before data reaches regulatory risk models.

2. IBM Power10/Power11, z/OS, and Db2: Core Data Engine

Equitus Arcxa is based in KGNN, which runs natively on IBM Power Mainframes running z/OS and Db2 store the bulk of commercial and consumer loan portfolios.

• In-Database SQL Federations: IBM Power10/11 processors handle federated SQL queries natively across Db2 for z/OS and external systems, letting ARCXA query core banking tables in situ using virtualization.

• Matrix Math Accelerator (MMA): Power10/11 hardware features built-in MMA accelerators. When ARCXA runs SPARQL or SQL queries to build graph models for loss projections, MMA accelerates dense matrix calculations directly on the mainframe without needing external GPU clusters.

• Mainframe Reliability: Ensures transactional integrity and zero downtime for continuous loan exposure reporting.

3. SAP HANA: High-Speed ​​In-Memory Analytics

SAP HANA operates as the high-speed engine for real-time financial tracking and sub-ledger accounting.

• In-Memory Graph Engine: HANA's native Graph Engine works with ARCXA's RDF model to evaluate complex borrower networks, guaranteeing hierarchies, and collateral relationships at scale.

• Real-Time Stress Testing: As macroeconomic shocks (eg, unemployment rates, commercial real estate declines) are applied, HANA calculates loss provisions across sub-ledgers instantly.