Assess readiness
Classify tables as safe, warning, or blocker, estimate migration effort, and surface schema and code concerns.
Plan a rehearsed cutover
Treat migration as a controlled lifecycle. SQL Optima parses T-SQL into an AST, moves data through a Go engine, validates the result at several levels, and can keep the target synchronized for cutover.

What it helps you do
Classify tables as safe, warning, or blocker, estimate migration effort, and surface schema and code concerns.
Translate T-SQL through a multi-pass AST pipeline and move data with adaptive chunks, parallel workers, and PostgreSQL binary COPY.
Compare counts, aggregates, hashes, and samples, then use checkpointed CDC streams for a controlled cutover.
From the repository
Verified scope
Project evidence
How it works
Connect to SQL Server and produce a readiness report with complexity and timing estimates.
Convert schemas and procedural logic with mappings, validation, and warnings for manual review.
Run the bulk move, execute L1–L4 checks, and start CDC when the target must remain current.
Run it yourself
irm https://raw.githubusercontent.com/rsharma155/sqloptima_migration/main/deploy/install/sql-optima.ps1 | iexcurl -fsSL https://raw.githubusercontent.com/rsharma155/sqloptima_migration/main/deploy/install/sql-optima.sh | bashSource: repository README.md ↗. Check the repository for the latest security notes, configuration options, and release status.
Explore another sqloptima product or go straight to the source.