ETL Migration - legacy ETL connectors for SQL migration

Jul 2, 2026 · 3 min read
ressources

Each ETL vendor has its own connectors, transformation components, parameterization mechanisms, and execution strategies. {openAudit} analyzes these components and reconstructs their behavior: the conversion goes beyond a syntactic translation.

Legacy ETL
IBM DataStageTalendSAP Data Services (BODS)SSISOracle Data Integrator (ODI)Informatica PowerCenterStambiaSemarchy xDIAb InitioOpenText Genio
SQL targets
SnowflakeBigQueryDatabricks SQLRedshiftPostgreSQLSQL Server

Component analysis

Technical repositories are analyzed to identify connectors, transformations, parameters, dependencies, and execution mechanisms, which are then converted into a common intermediate model before SQL generation, whatever the source technology.

Connectors

Read and write connectors (relational databases, files, APIs, Cloud platforms) are analyzed to reconstruct the flows between systems; connection parameters, queries, data formats, and mappings are integrated into the migration model.

Typical use case: reconstructing exchanges between Oracle, SQL Server, PostgreSQL, flat files, or Cloud storage.

Transformations

Filters, joins, aggregations, lookups, mappings, type conversions, column calculations, and conditional expressions each become an explicit SQL operation.

Diagram: Transformations – legacy ETL connectors for SQL migration

Parameterization

Environment variables, job parameters, shared libraries, and reusable components are analyzed; dependencies between processes and parameterization mechanisms are preserved in the generated model.

SQL as the pivot format

The resulting SQL model, independent of the source platform, is then adapted to Snowflake, BigQuery, Databricks SQL, Redshift, PostgreSQL, SQL Server, or any other compatible engine.

{oa-tbx}: the recommended target

Rewriting DataStage, PowerCenter, BODS, Talend, ODI, or SSIS jobs in another proprietary ETL means renewing the licenses, the dedicated infrastructure, and the vendor lock-in.

{oa-tbx} is an open, serverless SQL ETL with an embedded DuckDB engine. Its core is free; advanced features are licensed. The jobs automatically transcribed into SQL by {openAudit} run there as pipelines orchestrated by Airflow, with no dedicated infrastructure.

The SQL produced by the connectors can be executed directly in {oa-tbx}.

{oa-tbx} architecture

Key point: with {oa-tbx}, migrated flows become open SQL, readable and auditable line by line, and executable on any environment.

{oa-tbx} benefits in detail → · Discover {oa-tbx} → · ETL migration to {oa-tbx} in detail →

Frequently asked questions

Which legacy ETL tools can be converted to SQL?
IBM DataStage, Talend, SAP Data Services (BODS), SSIS, Oracle Data Integrator, Informatica PowerCenter, Stambia, Semarchy xDI, Ab Initio and OpenText Genio. The method is the same for all of them: component analysis, flow reconstruction, then SQL generation.
Is converting an ETL to SQL just a syntax translation?
No. {openAudit} analyzes connectors, transformations, parameters, dependencies and execution mechanisms, then converts them into a common intermediate model before generating SQL. Each transformation becomes an explicit SQL operation.
What happens to ETL job connectors, variables and parameters?
Read and write connectors are analyzed to rebuild the flows between systems (relational databases, files, APIs, cloud platforms). Environment variables, job parameters, shared libraries and reusable components are analyzed, and dependencies between processes are preserved.
Équipe Ellipsys
Authors
{openAudit} | Data Lineage & Migration
Ingénieurs IT spécialisés en data lineage technique, migration BI/ETL et architectures SQL ouvertes.