Observed Signal · Aug 21, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Software Tree Launches ORM_Skyway for Database-to-AI
Software Tree announced ORM_Skyway, a design-time automation product that makes existing relational databases AI-ready by reverse-engineering schemas, generating business-object models, packaging those models as RESTful microservices, and preparing Model Context Protocol (MCP) connectivity for AI agents. Built on Software Tree technologies (JDX, Gilhari, and ORMCP), ORM_Skyway is database-agnostic, verified with multiple JDBC-compliant systems, and lets developers curate which tables, attributes, and relationships AI agents can access. The tool aims to provide a governed business-object interface to operational data (including optional read-only enforcement via ORMCP), reducing custom integration work and offering a repeatable Database-to-AI architecture for AI platform vendors, integrators, and database providers. The article was published August 21, 2026.
Introduces a database-to-AI automation product that simplifies exposing governed business-object views of relational data to AI agents; useful for enterprise AI integration but not a major platform policy or ecosystem shift.
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Key Takeaways & Evidence Grounding
- Software Tree announced ORM_Skyway on August 21, 2026.
- ORM_Skyway reverse-engineers relational schemas, generates business object models, packages them as Docker-native RESTful microservices, and prepares MCP connectivity for AI applications.
- ORM_Skyway is built on Software Tree technologies: JDX (ORM), Gilhari (JSON REST microservice), and ORMCP (MCP connectivity).
- The product is database-agnostic and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB2, CockroachDB, and SAP HANA.
- Governance features include curated business-object selection and optional read-only enforcement via ORMCP.
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“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
“It works with JDBC-compliant databases and has been verified with PostgreSQL, MySQL, Oracle, SQLite, Microsoft SQL Server, Snowflake, IBM DB...”
Ontology Mapping & Concepts
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