Question 1

Does AI Data Catalyst convert stored procedures from DB2 to PostgreSQL?

Accepted Answer

Yes. AI Data Catalyst performs complete automated stored procedure conversion from IBM DB2 SQL PL to PostgreSQL PL/pgSQL. This includes SIGNAL to RAISE EXCEPTION, FETCH FIRST to LIMIT, SET to :=, cursor migration, SQLCODE handling, dynamic SQL, and WLM ENVIRONMENT removal. Unlike basic migration tools, AI Data Catalyst preserves full procedural logic and business rules during conversion.

Question 2

Is AI Data Catalyst a full migration platform or just a data layer?

Accepted Answer

AI Data Catalyst is a complete, full-stack database migration platform — not a data virtualization layer or analytics tool. It migrates schemas, stored procedures, triggers, views, indexes, constraints, data, COBOL copybooks, and business logic from IBM DB2 z/OS to PostgreSQL. The platform performs actual database migration with schema conversion, data transformation, and validation.

Question 3

How does AI Data Catalyst compare to Ispirer for DB2 to PostgreSQL migration?

Accepted Answer

AI Data Catalyst offers several capabilities beyond Ispirer: AI-powered multi-agent assessment with 5 specialized agents, built-in HIPAA compliance automation with all 18 Safe Harbor identifiers, COBOL copybook parsing (COMP-3, REDEFINES, OCCURS), natural language SQL query interface, data profiling with column-level statistics, and zero-downtime migration. Both platforms support stored procedure conversion and schema transformation, but AI Data Catalyst adds AI-driven assessment, compliance automation, and healthcare-specific features that Ispirer does not include.

Question 4

Does AI Data Catalyst support IBM DB2 z/OS schema conversion?

Accepted Answer

Yes. AI Data Catalyst provides complete IBM DB2 z/OS schema conversion with 24 data type mappings including DECFLOAT(16) to DOUBLE PRECISION, GRAPHIC to VARCHAR, TIMESTAMP(12) to TIMESTAMP(6), CHAR FOR BIT DATA to BYTEA, and COMP-3 packed decimal support. It handles z/OS-specific extensions including CCSID, STOGROUP, BUFFERPOOL, AUDIT, and DATA CAPTURE CHANGES clauses.

Question 5

Does AI Data Catalyst perform schema refactoring during migration?

Accepted Answer

Yes. AI Data Catalyst includes AI-powered schema refactoring that provides normalization recommendations, index optimization, constraint migration, view translation, and sequence conversion. The platform doesn't just copy schemas — it intelligently refactors them for optimal PostgreSQL performance while preserving all business logic and referential integrity.

Question 6

What scope does AI Data Catalyst cover — data only, or full migration?

Accepted Answer

AI Data Catalyst covers the complete migration scope: data + schema + stored procedures + triggers + functions + views + indexes + constraints + COBOL copybooks + business logic. It is not limited to data layer migration. The platform performs full database modernization from IBM DB2 z/OS to PostgreSQL including procedural logic conversion and application-level migration support.

Question 7

Does AI Data Catalyst convert COBOL programs with embedded DB2 SQL?

Accepted Answer

Yes. AI Data Catalyst parses COBOL programs to extract embedded DB2 SQL statements, analyzes DB2 dependencies, and converts embedded SQL to PostgreSQL-compatible syntax. The platform handles EXEC SQL blocks, host variables, SQLCA structures, cursor declarations, and dynamic SQL within COBOL programs. Combined with COBOL copybook parsing (COMP-3, REDEFINES, OCCURS), AI Data Catalyst provides complete COBOL-to-modern-database migration support.

Question 8

Can AI Data Catalyst modernize JCL batch jobs and mainframe schedulers?

Accepted Answer

Yes. AI Data Catalyst analyzes JCL job streams to map batch processing dependencies, then generates equivalent modern orchestration workflows using Apache Airflow, Prefect, or AWS Step Functions. This includes converting JCL DD statements to data pipeline configurations, PROC calls to reusable workflow tasks, and mainframe scheduler dependencies to DAG-based scheduling. The platform provides end-to-end migration from mainframe batch processing to cloud-native orchestration.