AI-Powered Data Migration & Automation Suite

PBS Schema Bridge

Automated SQL to Oracle Migration Powered by AI
AI Automation · SQL → Oracle

What Can It Do?

PBS Schema Bridge fully automates the migration of SQL databases to Oracle — not just tables, but also views, stored procedures, and functions.

Simply select your source database engine, and the platform handles the conversion of schema structures and all underlying code logic into the Oracle dialect, ensuring accuracy and consistency throughout the process.

Key Capabilities

  • Source SQL engine selection to initiate conversion

  • Automated DDL and full schema conversion to Oracle

  • Migration of stored procedures from T-SQL to PL/SQL

  • Migration of scalar and table functions to Oracle

  • Exact preservation of column names and naming conventions

  • Intelligent data type mapping across platforms

PBS Tableau Migrator Suite

Seamless BI Migration Without Disruption
Tableau · SAP BO · Data Warehouse Migration

What Can It Do?

PBS Tableau Migrator Suite ensures your Tableau dashboards continue to run seamlessly when migrating your Data Warehouse to a new platform.

It automatically detects field incompatibilities between source and target systems, generates the required structures to resolve them, and redirects connections — all without impacting the end-user experience.

Key Capabilities

  • Automated analysis of Tableau dashboards at any scale

  • Detection and resolution of case-sensitivity inconsistencies in field names

  • Support for both direct connections and semantic layers

  • Migration of embedded custom SQL into PL/SQL

  • Automatic regeneration of views after structural changes

  • Cross-validation between source and target metadata

  • Full transparency for end users: zero intervention required in reports

PBS DataGen Suite

Intelligent Synthetic Data Generation at Scale
Synthetic Data · Multi-DB · Parallel Generation

What Can It Do?

PBS DataGen Suite generates realistic synthetic data directly within database tables across multiple database engines.

It automatically analyzes each column’s data type to simulate coherent values and leverages column naming to map predefined data catalogs — such as names, countries, dates, or codes — without manual configuration.

Massive, parallel data loads dramatically reduce the time required to populate development, testing, and migration environments.

Key Capabilities

  • Synthetic data generation across Oracle, SQL Server, and other databases

  • Data simulation based on column data types

  • Automatic mapping to data catalogs by column name (names, countries, dates, codes, and more)

  • Creation and management of reusable data catalogs

  • High-speed parallel data loading for large-scale environments

  • Modern web interface with no direct database access required