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Exit Sybase ASE while staying on the Microsoft stack — S2SIM automates compatibility mapping, schema modernisation, stored procedure conversion, and SQL Server Agent job modernisation so your team focuses on validation, not manual rewriting.
From the first compatibility scan through to post-go-live validation — every phase handled by specialists who know both ASE and SQL Server deeply.
S2SIM maps Sybase ASE T-SQL to SQL Server T-SQL, flagging dialect differences, deprecated features, and datatype mismatches before a single object is converted.
The AI agent converts schema, DDL, and stored procedure signatures automatically — maximising automation before expert review, so your engineers spend time on decisions, not rewrites.
T-SQL procedures adapted from ASE dialect to SQL Server — cursor handling, error handling, and SET options reconciled with precision by engineers who know both dialects.
Sybase ASE scheduler jobs converted to SQL Server Agent jobs with schedule and step parity — no manual recreation of job definitions or execution logic.
High-throughput data transfer with row-count and checksum reconciliation at table level. Transfer runs in parallel to minimise the modernisation window and eliminate guesswork at cutover.
Execution plan review, statistics update, and full application smoke test on SQL Server before go-live. Issues caught in staging, never in production.
If your organisation runs on Windows Server, Azure, or Microsoft tooling, SQL Server is the natural landing zone from ASE. S2SIM keeps you in a familiar ecosystem while eliminating the SAP dependency and the shrinking talent pool.
Compatibility scan before any conversion starts. S2SIM catalogues every stored procedure, scheduler job, and T-SQL pattern in the ASE source — producing a structured report that scopes work and flags risks before a single object is touched.
AI agent automates schema and dialect conversion. Datatype mappings, reserved word collisions, implicit conversions, and SET option semantics resolved in a single automated pass — covering the bulk of what would otherwise be manual re-coding.
Specialists close the remaining gaps. Cursor behaviours, @@rowcount semantics, quoted identifier handling, and other ASE-specific patterns that need contextual judgement — S2SIM surfaces these, our engineers resolve them.
A structured engagement with clear hand-off points — no surprises mid-modernisation.
S2SIM agent scans all schema objects, stored procedures, scheduler jobs, and data volume. Compatibility report produced before work begins — you see the full scope before committing.
AI pipeline converts schema and stored procedures. Output reviewed by a Sybase and SQL Server specialist before proceeding to staging — automation maximised, quality assured.
Engineers resolve remaining dialect differences. SQL Server Agent jobs created. Full regression run in staging against your application — sign-off before any cutover date is set.
Parallel data transfer and lightweight application re-point. 30-day post-modernisation support included — named engineers available if anything surfaces after go-live.
From the AI agent to the SQL Server target — every tool selected for fit, not familiarity.
We run a live compatibility scan against a sample of your ASE schema — you see exactly what S2SIM automates before you commit to anything.
Share your ASE version and rough schema size. We'll set up the demo in 48 hours — using a real slice of your environment, not a canned walkthrough.
Request a Demo → See how S2SIM works firstTwo recent S2SIM engagements — a Windows-shop consolidation to reduce platform sprawl, and a cloud modernization move to Azure SQL Managed Instance.
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