dbmAIgrate — AI-powered database migration
From SQL Anywhere to MS SQL Server. Automated, AI-driven, and proven in production for several years.
SQL Anywhere was a solid database solution for many years. But the world has changed: SAP has postponed the end of mainstream support multiple times, with December 2028 being the current announcement. However, the strategic direction is clear: no significant further development, a shrinking talent pool, and a lack of modern .NET Core drivers. Anyone planning for the long term should migrate now.
Migration is not a trivial search-and-replace task. SQL Anywhere features its own dialects, proprietary functions, and behavioral differences that lead to subtle bugs during a migration to MS SQL Server—unless you know exactly what to look for.
AI-powered analysis
Automatic detection of SQL Anywhere-specific code that causes issues during migration to MS SQL Server.
Code transformation
AI-driven rewriting of stored procedures, views, triggers, and functions.
Schema migration
Automated transfer of table structures, indexes, and constraints.
Validation
Automated comparison of source and target data after each migration phase.
CLI-based
Command-line tool that is fully scriptable and integrable into CI/CD pipelines.
SSDT integration
Seamless collaboration with SQL Server Data Tools for schema comparison and deployment.
How dbmAIgrate works
Analysis
dbmAIgrate scans the source database and identifies:
SQL Anywhere-specific syntax (e.g.,
TOP,LIMIT,IFstatements, string functions)Proprietory features (Watcom SQL, T-SQL deviations)
Behavioral differences (NULL handling, collation, date formats)
Dependencies between objects (to determine the correct migration order)
Transformation
For every identified issue, the AI generates a migration proposal:
Rewriting SQL syntax into MS SQL Server-compatible T-SQL
Replacing proprietary functions with equivalent T-SQL constructs
Adjusting data types and default values
Validation
After each phase, the tool performs:
Automated comparison of row counts
Sample data verification across datasets
Execution of test queries against both the source and target systems
Generation of a discrepancy report with recommended actions
Why AI makes the difference
Traditional migration tools are rule-based: Find pattern X, replace with pattern Y. This works for about 80% of cases. The remaining 20%—complex stored procedures, nested views, and business logic inside triggers—usually require tedious manual labor.
dbmAIgrate utilizes AI models (OpenAI) that understand the context of the code. They do not just look for syntax patterns; they grasp the underlying intent and generate semantically correct rewrites. This saves weeks of manual work.
In development and production use for nearly three years
dbmAIgrate is not a prototype. We began developing the tool in mid-2023—making it one of the very first AI-powered migration tools on the market. Since then, it has been deployed in real-world migration projects and continuously improved.
This tool is also proof of our AI expertise: We do not treat AI as a marketing buzzword, but as a productive utility—and have been doing so since before ChatGPT became mainstream.
Start your migration — before support ends.
SQL Anywhere has no future. The longer you wait, the more expensive the migration becomes—and the harder it will be to find developers who still understand both worlds.
Starter package: Kickoff seminar + dbmAIgrate license + initial database analysis. With this, you will know exactly what to expect within a single week.
