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Description

CAST Imaging transforms software understanding by automatically reconstructing and visualizing the full architecture of an application from the source code. It identifies every object, interface, data structure, framework, and dependency across more than 150 technologies. AI-driven summaries highlight how transactions execute, where components interact, and where structural flaws or modernization opportunities exist. Teams can model "what-if" scenarios, evaluate change impact, and validate architectural design before any code is touched. CAST Imaging also accelerates cloud and microservices transformations by exposing decoupling candidates and hidden interdependencies. Developers, architects, and onboarding teams gain a single source of truth that replaces outdated documentation and tribal knowledge. Whether deployed on cloud or on-premises, it offers a secure, scalable environment for deep analysis. CAST Imaging ultimately helps organizations modernize faster, reduce rework, and govern software quality with clarity and precision.

Description

ER/Studio Data Architect is an enterprise data modeling solution that helps organizations design, document, and manage data architecture across modern platforms. It enables data architects and database professionals to create conceptual, logical, and physical data models that connect business meaning with technical implementation. By defining entities, relationships, and standards before systems are built, ER/Studio helps ensure consistent definitions, accurate reporting, and reliable analytics. A core capability of ER/Studio Data Architect is logical data modeling, which defines business concepts independently of technology. Logical models act as a semantic foundation for the organization, helping teams align on the meaning of key entities such as customers, products, and transactions. This approach reduces ambiguity, prevents semantic drift across systems, and improves the reliability of analytics and AI initiatives. The platform provides powerful forward and reverse engineering capabilities. Architects can generate database schemas from models or reverse engineer existing databases to document and analyze current structures. Schema compare and merge tools detect differences between versions and generate scripts to apply updates efficiently. ER/Studio Data Architect supports major platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON-based systems. Automation features such as macros, data lineage, and impact analysis help teams understand dependencies and reduce manual work. The platform also includes ERbert, an AI-powered data modeling assistant that can generate logical models from natural language prompts, accelerating model creation while maintaining structured data architecture.