Convert COBOL batch programs to BigQuery

Copybooks parsed into BigQuery schemas. COBOL program logic becomes BigQuery SQL or PySpark on Dataproc. JCL job streams convert to Cloud Composer DAGs. VSAM and flat files land as BigQuery tables. Full lineage, validated parity.

Book a Live Demo →
Why BigQuery

Serverless analytics without mainframe infrastructure

No servers to size or patch

Mainframe batch jobs require MIPS capacity planning and z/OS maintenance. BigQuery runs SQL at warehouse scale with zero infrastructure. Pay per query, not per MIPS.

BigQuery SQL for most logic, Dataproc for the rest

COBOL business rules with IF/ELSE, COMPUTE, and EVALUATE map cleanly to BigQuery SQL. Complex programs with nested PERFORM loops and table handling become PySpark on Dataproc, writing results back to BigQuery tables.

Cloud Composer replaces JCL scheduling

JCL defines job steps, dataset allocation, and execution order. Cloud Composer (managed Airflow) handles the same DAG orchestration with retry, alerting, and cross-service integration across GCP.

Parser output

Copybook + COBOL logic to BigQuery SQL

A COBOL copybook and batch program converted to BigQuery DDL and SQL. When logic requires Python, MigryX outputs PySpark on Dataproc instead.

COBOL Copybook + Program
       COPY TXN-REC.
       05 TXN-ID        PIC X(12).
       05 TXN-AMT       PIC S9(7)V99 COMP-3.
       05 TXN-TYPE      PIC X(1).
          88 CREDIT      VALUE 'C'.
          88 DEBIT       VALUE 'D'.
       05 ACCT-NO        PIC X(10).

       PROCEDURE DIVISION.
           PERFORM UNTIL END-OF-FILE
               READ TXN-FILE INTO TXN-REC
               IF CREDIT
                   ADD TXN-AMT TO WS-TOTAL-CR
               ELSE
                   ADD TXN-AMT TO WS-TOTAL-DB
               END-IF
               WRITE SUMMARY-REC
           END-PERFORM.
MigryX
converts
BigQuery SQL
-- Copybook → DDL
CREATE TABLE IF NOT EXISTS
  `project.dataset.txn_summary` (
    txn_id    STRING,
    txn_amt   NUMERIC,
    txn_type  STRING,
    acct_no   STRING
);

-- Program → BigQuery SQL
SELECT
    acct_no,
    SUM(CASE WHEN txn_type = 'C'
             THEN txn_amt ELSE 0 END)
        AS total_credit,
    SUM(CASE WHEN txn_type = 'D'
             THEN txn_amt ELSE 0 END)
        AS total_debit
FROM `project.dataset.txn_raw`
GROUP BY acct_no;

PIC clauses become BigQuery types. 88-level conditions become CASE WHEN. COMP-3 becomes NUMERIC with preserved precision.

Coverage

COBOL to BigQuery — artifact mapping

COBOL / MainframeBigQuery / GCP EquivalentNotes
COBOL program (simple)BigQuery SQL scriptBusiness rules as SQL logic
COBOL program (complex)PySpark on DataprocNested PERFORM, table handling
Copybook (PIC clauses)BigQuery DDLAll PIC types mapped
COMP-3 packed decimalNUMERICPrecision and scale preserved
REDEFINESSTRUCT / JSONUnion record layouts handled
EVALUATE / IF-ELSECASE WHENBusiness rules preserved
88-level conditionsCASE WHENNamed conditions as filter logic
VSAM KSDS / ESDSBigQuery tableGCS staging + LOAD DATA
Flat file (FB/VB)BigQuery tableExternal table or LOAD DATA
DB2 SQL (EXEC SQL)BigQuery SQLDB2 dialect translated
JCL job streamCloud Composer DAGAirflow orchestration
Validation

Mainframe output validated against BigQuery

Data Matching compares mainframe production output against BigQuery results — record by record, field by field. Packed decimal precision, date formats, and sign handling are all verified before cutover.

See how Data Matching works →
Parser
Copybook structural parse
COMP-3
Packed decimal support
SQL
Native BigQuery output
DAG
JCL → Cloud Composer

COBOL to BigQuery: GCP-first modernization

Batch COBOL programs with copybooks and JCL converted to BigQuery SQL. Complex logic routed to PySpark on Dataproc. VSAM files staged to GCS and loaded. All outputs validated with Data Matching before mainframe decommission.

View case studies →

See it on your own COBOL programs

Send us a copybook and sample program. Get parsed schema, BigQuery SQL, and a validation report.

Book a Live Demo → hello@migryx.com