The raven is known for its cleverness and precision. Similarly, our Raven automated tool swiftly converts legacy workloads like SQL, scripts, and ETL into cloud-native solutions, speeding up migrations with less effort, fewer errors, and faster results for organizations.
Analyze legacy code (SQL, ETL, scripts).
Automated translation to any cloud environments.
Smart refactoring for performance & cost savings.
Seamless integration with your techstack and ecosystem.
Raven automates the conversion of SQL and ETL code from legacy systems to cloud-native platforms, minimizing manual effort.
The tool supports various legacy databases (Teradata, Oracle, Netezza) and cloud data warehouses (BigQuery, Snowflake, Redshift, Synapse).
Raven assures 100% code conversion with automatic syntax validation and seamless schema/table control, syncing and validating translated code on the target platform to ensure error-free, enterprise-grade migrations.
Lets users instantly search and view table metadata from Avro files in Raven UI, enabling faster DML troubleshooting and efficient resolution of data type mismatches.
Allows translation only between licensed source-target SQL dialect pairs in Raven. Ensures controlled, compliant usage, only the licensed pairs will support translation execution.
Raven activates its built-in AI to analyze, validate, and suggest code changes for complex patterns, enhancing conversion accuracy while keeping human oversight in the loop.
Raven automates the conversion of SQL and ETL code from legacy systems to cloud-native platforms, minimizing manual effort
The tool supports various legacy databases (Teradata, Oracle, Netezza) and cloud data warehouses (BigQuery, Snowflake, Redshift, Synapse)
Raven assures 100% code conversion with automatic syntax validation and seamless schema/table control, syncing and validating translated code on the target platform to ensure error-free, enterprise-grade migrations
Lets users instantly search and view table metadata from Avro files in Raven UI, enabling faster DML troubleshooting and efficient resolution of data type mismatches.
Allows translation only between licensed source-target SQL dialect pairs in Raven. Ensures controlled, compliant usage, only the licensed pairs will support translation execution.
Raven activates its built-in AI to analyze, validate, and suggest code changes for complex patterns, enhancing conversion accuracy while keeping human oversight in the loop.
Raven takes the headache out of SQL and ETL migration. No more manual rewrites, just automated, error-free conversion that gets it right the first time. Move from legacy to cloud-native platforms without breaking a sweat.
Decades of patches, workarounds, and outdated syntax? No problem. Raven doesn’t just convert, it optimizes, refactors, and enhances your code for peak cloud performance. The result? Faster queries, lower costs, and zero technical debt.
Migrate 2x faster at half the cost. Raven automates the entire code conversion and translation, minimizing risk, reducing errors, and saving engineering hours, so your team can focus on innovation, not fixing broken scripts.
A SQL migration tool helps enterprises convert and modernize legacy database code when moving to cloud or modern data platforms. During legacy system migration, organizations must transform SQL, ETL jobs, and orchestration logic without breaking business rules.
Raven acts as an enterprise SQL migration tool and data transformation platform, enabling automated code conversion and validation to accelerate modernization initiatives.
Raven is an enterprise data conversion tool designed for large-scale ETL migration and modernization programs. It converts SQL, ETL workflows, and orchestration logic from legacy platforms into modern cloud-compatible code.
Raven supports complex data migration ETL scenarios by converting thousands of scripts per week, depending on code complexity, and ensuring that converted logic aligns with target platform requirements.
Raven is an adaptor-based SQL database migration tool that supports multiple source and target platforms. New platforms can be added by configuring adaptors when required.
This flexibility allows Raven to function as a scalable data transformation platform across legacy databases, cloud warehouses, and modern data environments.
Yes. Raven applies general optimization rules during conversion as part of its data conversion software capabilities. The goal is to generate clean, executable code aligned to the target environment.
As a data transformation software, Raven ensures that converted SQL and ETL logic runs without syntax errors and follows optimization patterns suitable for modern platforms.
Raven is available in multiple deployment models to support enterprise modernization.
It can be:
This flexibility allows organizations to adopt Raven as a scalable data transformation platform for modernization programs.
Raven is designed to automate the majority of conversion work in large modernization initiatives. As a data conversion tool, it handles most SQL and ETL transformations automatically.
For complex cases not handled by automation, the Onix team ensures complete conversion support. This combined approach enables enterprises to achieve fully converted and executable code during migration.
