ibi Data Migrator, a product by ibi specializing in business intelligence and data analytics software, automates the extract, transform, and load (ETL) process for transferring data between diverse sources and destinations. It simplifies data migration workflows through a user-friendly interface, eliminating the need for complex scripting and catering to users with varying programming expertise. Integrated seamlessly with other ibi tools, particularly the WebFOCUS analytics platform, it ensures a smooth flow of data into the BI environment for analysis and reporting. With support for various data sources and targets, data cleansing and transformation capabilities, scheduling and automation features, and data lineage tracking, ibi Data Migrator offers improved data quality, reduced development time, increased efficiency, and enhanced analytics, making it a valuable asset for organizations seeking streamlined ETL processes and better data management.
ViaSQL enables powerful data extraction from complex sources through standard SQL queries. It provides direct access to all your system databases, allowing teams to seamlessly manage enterprise data with ease. The powerful tool opens bi-directional access to both mainframe and distributed data sources, enabling rapid web and cloud application development. Gone are the days of complex and time-consuming legacy data management practices!
Direct Access to Data Sources
With ViaSQL, you can directly access mainframe data using ODBC or JDBC. The native read/write conversion functionality allows you to access both relational and non-relational databases with SQL queries, so your teams don’t need to know anything about mainframe databases.
Call Out From Mainframe Applications
ViaSQL also makes outbound calls from legacy applications by providing COBOL and PL/I access to distributed data sources. It allows for true bi-directional data access from the mainframe without the need to modify any legacy system code.
Bulk Transfer Capabilities
ViaSQL allows you to move large amounts of data between the mainframe and relational databases. It eliminates the need for other expensive and complex Extract, Transform, and Load (ETL) systems when copying mainframe data to modern data lakes and warehouses.
Combine Direct and Indirect Data Sources
When used with Adaptive Integration Fabric, ViaSQL allows you to combine direct and indirect data sources by creating workflows that pull data via mainframe applications, as well as directly from data sources. This allows users to not only create highly efficient data extraction systems but also expose data to modern systems such as REST or SOAP APIs.