Raven Migration Tool - Automate ETL, Data Transformation, and Workload Conversion

Products

Raven: The Transformer

Automated Workload Conversion & Translation

Ravens are known for their ability to innovate and come up with new solutions to the challenges that they encounter. Our code transformation tool is named for the Raven because of its ability to transform complex code in minutes leveraging an automated approach.

For modern data-driven business enterprises, data transformation is an essential part of migrating on-premises application data to the cloud. Efficient data transformation improves overall quality of data – thus supporting improved decision-making in any organization. As part of the Datametica Bird suite, Raven is a data transformation tool that can convert complex code workloads from on-premises systems to operate as cloud-native applications. Raven can automatically convert and translate workloads from on-premises systems – including Teradata, Oracle, and Netezza – to cloud-native technologies – including Google BigQuery, Azure Synapse, Snowflake, and AWS Redshift.

How Raven can help you

As an efficient code transformation tool, Raven is capable of converting complex code and SQL script with both efficiency and intelligence.

Intelligent thinking

Ability to accurately identify source workloads and transform them to the target state – as well as consistent formatting in the generated output code and script.

Accuracy

Agile execution mode to quickly transform the source scripts thus reducing production time – along with rapid transformation of complex code within minutes.

Time savings

Features of Raven

Automatic translation of SQL codes and scripts.
Smart emulations for unsupported SQL clauses in the target SQL-like language.
Seamless conversion of embedded SQL, incomplete SQL statements, and parameterized SQL code.
Translation support for specific database utilities like Load-Store Utility, Bteq, Macros, and Stored Procedures.
Support for DDL definitions of objects including macros, stored procedures, and view definitions.

Conversion of ETL into ELT scripts – based on the target cloud environment.
Support for ETL custom expressions.
Conversion of non-SQL components in the ETL workflow.
Support for polyfills in unsupported functions

Consistent and syntactical optimization of generated code and scripts.
Target-specific optimization of SQL code, expressions, and workflows – for saving both time and costs.
Complete awareness of data lineage during code conversion.
Supported Data Warehouse Sources/ETL/Target Cloud.