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Hard sources — not covered by free tools
Also parsed — certify what free tools miss
Runtimes
After migration
MigryX converts SAS, Talend, Qlik, Alteryx, IBM DataStage, Oracle ODI, SSIS, Teradata, and SQL dialects to Informatica IDMC — CDI Mappings, Taskflows, Data Quality Rules, Mass Ingestion Jobs, and Connections — with 95%+ parsing accuracy and column-level lineage.
IDMC Targets
Every modernization generates production-ready IDMC artifacts — leveraging Cloud Data Integration mappings, taskflows, data quality rules, mass ingestion jobs, connections, and CLAIRE AI-powered monitoring for a complete IDMC deployment.
Cloud Data Integration mappings with source, target, and transformation definitions — Joiner, Filter, Aggregator, Expression, Router, and Lookup transformations mapped from legacy logic.
IDMC Taskflows for orchestrating multi-step data pipelines — legacy job sequences, scheduling, and dependency chains converted to native IDMC orchestration with error handling.
Cloud Data Quality rules for profiling, standardization, and validation — legacy data quality checks and validation logic converted to IDMC-native DQ rule definitions.
Mass Ingestion jobs for high-volume initial and incremental data loading — legacy bulk load scripts and ETL ingestion patterns converted to IDMC Mass Ingestion configurations.
IDMC Connection definitions for databases, cloud storage, SaaS applications, and APIs — legacy connection configs translated to IDMC-native connector specifications.
CLAIRE AI-powered metadata and recommendations — lineage, impact analysis, and intelligent suggestions auto-generated from parsed legacy code structures.
Parameterized mappings with runtime variables — legacy environment-specific configurations converted to IDMC parameter files and in/out parameters.
Data profiling tasks for source and target analysis — legacy data dictionary and metadata documentation converted to IDMC profiling configurations with statistics.
Modernization Sources
Purpose-built parsers for each source platform. Not generic scanners. Every conversion produces explainable, auditable, IDMC-native artifacts — CDI mappings, taskflows, data quality rules, and connections.
Automate SAS Base, Macro, PROC SQL, and IML conversion to IDMC CDI mappings and taskflows. DATA step logic, FORMAT/INFORMAT handling, PROC SORT/MEANS/FREQ translated to IDMC transformations with full lineage.
Parse Talend project exports (ZIP/Git), .item artifacts, tMap joins, metadata, contexts, and connections — converted to IDMC CDI mappings with taskflows and parameterized connections.
Parse Qlik Sense .qvf apps, QlikView .qvw documents, and .qvs includes — load scripts, ApplyMap, JOIN/RESIDENT, QVD stores, and Section Access — converted to IDMC CDI mappings with taskflows and parameterized connections.
Convert Alteryx Designer workflows (.yxmd/.yxwz), macros, and apps to IDMC CDI mappings and taskflows — tool-by-tool translation with full lineage preservation and data quality rule generation.
Modernize IBM DataStage parallel and server jobs, sequences, shared containers, and XML definitions to IDMC CDI mappings and taskflows — transformer logic translated to IDMC expressions with dependency graphs.
Parse Oracle ODI repository exports — mappings, interfaces, knowledge modules, packages, and load plans — converted to IDMC CDI mappings, taskflows, and connections with full column-level lineage.
Parse SSIS .dtsx packages and .ispac archives — data flow, control flow, SSIS expressions, C#/VB.NET script tasks — to IDMC CDI mappings with taskflow orchestration and parameterized connections.
Modernize Teradata BTEQ, FastLoad, MultiLoad, and Teradata SQL — QUALIFY rewriting, BTEQ command translation, and PRIMARY INDEX advisory — to IDMC CDI mappings with mass ingestion configurations.
Modernize Oracle PL/SQL procedures, packages, and triggers with 2000+ function mappings, CONNECT BY rewriting, BULK COLLECT conversion — to IDMC CDI mappings and taskflow orchestration.
Transpile SQL from Oracle, T-SQL, Teradata, DB2, Netezza, Greenplum, Hive HQL, and Vertica to IDMC CDI SQL transformations — 500+ function mappings and cross-database expression translation.
Modernize SAS DataFlux dfPower Studio jobs and DQ schemes — standardize/parse/match/validate patterns — to IDMC Cloud Data Quality rules and CDI mappings with profiling configurations.
How It Works
The same proven methodology applies to every source — SAS, Talend, Qlik, Alteryx, DataStage, ODI, or SSIS — all landing natively in production-ready Informatica IDMC artifacts.
Upload source artifacts — SAS scripts, Talend exports, Qlik .qvs/.qvf, DataStage XML, .dtsx packages — into MigryX for parsing.
Custom parsers build complete ASTs, expand macros, resolve dependencies, and produce column-level lineage — with IDMC-readiness scoring.
Convert to IDMC CDI mappings, taskflows, data quality rules, mass ingestion jobs, and connection definitions — with IDMC best-practice patterns.
Row-level and aggregate data matching between legacy and IDMC outputs — using automated data quality checks for audit-ready sign-off.
Publish lineage, STTM, and data contracts to IDMC metadata. MigryX AI surfaces risk and recommends transformation strategies, mapping granularity, and DQ coverage.
Platform Capabilities
Every MigryX modernization leverages the full IDMC ecosystem — CDI mappings, taskflows, data quality, mass ingestion, CLAIRE AI, and elastic compute for a complete cloud data management layer.
Purpose-built for each source language — SAS macro expansion, DataStage XML, Talend .item files, Qlik .qvs/.qvf, SSIS .dtsx — full fidelity, no approximation, deterministic output.
Legacy ETL logic converted to IDMC CDI mappings, taskflows, data quality rules, and connections — production-ready with parameterization, error handling, and CLAIRE metadata generated automatically.
IDMC runs on AWS, Azure, and GCP via Secure Agents and serverless compute — MigryX-generated artifacts deploy to any cloud with connection configuration for target warehouses.
Source-to-target column mappings auto-generated and published to IDMC CLAIRE AI — full lineage visualization, impact analysis, and metadata-driven governance.
AI analyzes parsed metadata to recommend transformation patterns, mapping granularity, taskflow orchestration, and data quality rule coverage — with automatic parameterization.
Full deployment behind your firewall. Source code and lineage never leave your network. IDMC Secure Agent deployment for dev → test → prod. SOX, GDPR, BCBS 239 ready.
Measurable Results
Organizations using MigryX to land on Informatica IDMC accelerate delivery, eliminate manual rewrite cost, and unlock cloud-native data management patterns from day one.
Automated lineage extraction and parser-driven analysis eliminate months of manual discovery and rewrite.
Complete dependency visibility prevents production incidents and modernization-related data defects.
Generated code your team can read, with validation before go-live.
Deterministic parsers handle 95%+ of typical code out of the box.
Why MigryX
Generic ETL scanners approximate lineage. MigryX parses it exactly — every macro, every column, every dialect — then lands it natively in IDMC with full CDI mapping, taskflow, and DQ support.
| Capability | MigryX | Generic Tools |
|---|---|---|
| Custom parser per source (SAS, Talend, Qlik, DataStage, etc.) | ✓ | ✗ |
| 100% column-level lineage to IDMC metadata | ✓ | ~ |
| Native CDI mapping generation with transformations | ✓ | ✗ |
| Taskflow orchestration from legacy job sequences | ✓ | ✗ |
| SAS macro expansion & full dialect support | ✓ | ✗ |
| Parser-driven transformation recommendations | ✓ | ✗ |
| On-premise / air-gapped deployment | ✓ | ✗ |
| Row-level data validation & parity proof | ✓ | ✗ |
| STTM export & CLAIRE AI integration | ✓ | ~ |
| Data quality rule auto-generation | ✓ | ✗ |
| Multi-cloud deployment (AWS/Azure/GCP) | ✓ | ✗ |
✓ Full support ~ Partial / approximate ✗ Not supported