---
title: "iRAPID: SAS to Databricks–PySpark Migration Suite"
description: Accelerate your SAS to PySpark migration with Tenarai's iRAPID suite, ensuring fast, accurate, and compliant transformations on Databricks.
---

[Databricks Blogs ](https://www.tenarai.com/databricks-blogs)

# [iRAPID: SAS to Databricks–PySpark Migration Suite](https://www.tenarai.com/databricks-blogs/irapid)

 Written by [Tenarai](https://www.tenarai.com/databricks-blogs/author/tenarai) | May 5, 2026 1:42:49 PM

**Accelerator Overview**

**Agentic Orchestration Framework**

Coordinates multiple LLM-powered agents (Parser, Lineage, Converter, Validator) for fully automated SAS-to-PySpark migration. Built on Databricks Jobs with LangGraph-based agent routing and dependency control. Feedback-driven prompt refinement for self-learning and accuracy improvement.

**Benefit:** 50% faster migration with 95%+ code accuracy and continuous model learning.

**Unity Catalog– Integrated Lineage & Governance**

Extracts SAS dataset dependencies and maps them directly to Unity Catalog entities. Block-level lineage and schema mapping to ensure referential integrity. Unified metadata and access control across migrated workloads.

**Benefit:** Delivers full transparency, auditability, and compliance from source to Lakehouse.

**GenAI SAS to PySpark Conversion Engine**

Transforms SAS logic to PySpark using rule-driven and LLM contextual translation. Prompt DB and Delta-based embedding store for reusable conversion intelligence. Self-healing logic corrections via Code Quality and Auto-Fix agents.

**Benefit:** Generates production-ready, optimized PySpark with minimal manual rework.

**Validation & CI/CD Automation**

Automates testing, deployment, and validation pipelines natively on Databricks. Schema, row-count, and data-hash comparisons ensure output parity. Automated notebook deployment and rollback workflows via DevOps pipelines and Terraform.

**Benefit:** Ensures 100% validated, reproducible results across environments.

**Agentic UI & Feedback Loop**

Interactive interface for reviewing conversions, lineage graphs, and quality metrics. Real-time user feedback captured for prompt optimization and error correction. Power BI dashboards connected to Databricks SQL for visual tracking and reporting using REST APIs.

**Benefit:** Enables collaborative governance and faster iterative improvement.

[View full post](https://www.tenarai.com/databricks-blogs/irapid)

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