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Migrate from SQL Server to Snowflake
Modernise legacy SSIS to Snowflake and an AI-ready data platform with Infinite Lambda’s Flowline.
Agentic migration from SQL Server to Snowflake
Your SSIS estate cannot support enterprise AI agents.
Infinite Lambda’s Flowline migrates decades of business logic, metric definitions, and transformation rules from SSIS to a modern platform on dbt, Snowflake, Fivetran, and Omni, surfacing the business context your AI agents need to reason on.
AI-native SQL Server migration
Infinite Lambda’s Flowline automates 99% of the code conversion from legacy SSIS ETL. It reduces time, effort, and risk through:
- Automation
- Validation
- AI-powered optimisation
Enabling the agentic enterprise
A reliable agentic enterprise has three layers:
- An AI layer of agents that reason, retrieve, and act.
- A business context layer that gives those agents a structured understanding of your organisation's own concepts and metrics.
- A modern data platform that is fast, governed, and built for AI workloads.
The first step to building an agentic enterprise is migrating off SSIS to a modern platform and giving AI agents the context to reason within.
How Flowline migrates you from SQL Server to an agentic platform
Flowline migrates your SSIS estate in 4 steps:
Convert
Flowline crawls the SQL Server estate, maps dependencies, converts to dbt and Fivetran with AI-driven refactoring.
Reconcile
Before anything moves to production, Flowline validates the converted SQL Server workload row by row against the source, building confidence in the numbers.
Refactor
Flowline applies best practices across the modernised estate, tuning for performance and cost on Snowflake or Databricks. The output is clean, maintainable code that engineers can work with from day one.
Adopt
Your team gets an AI-ready platform with the first-pass ontology already in place. Flowline agents manage the estate autonomously, while your engineers spend their time building on the platform.
Is your data infrastructure ready for AI?
Take a 5-minute assessment that tells you exactly where you stand, what is holding you back, and what it would take to modernise. You will get a clear picture of what the potential looks like on the other side to help you build your business case.
Free ⬩ Personalised ⬩ Actionable insights
Compare your options
SQL Server migration with Flowline vs alternatives
Automated migration with Flowline changes the economics of migration across every dimension that matters.
| Capability | Manual rewrite | LLM accelerators | Flowline |
|---|---|---|---|
| Timeline | Manual rewrite12–18 months | LLM accelerators6–12 months | FlowlineWeeks |
| ETL conversion | Manual rewriteFull rewrite, line by line | LLM acceleratorsTrial-and-error, pipeline by pipeline | FlowlineComprehensive, holistic: entire legacy system |
| Validation | Manual rewriteManual, error-prone | LLM acceleratorsNeeds additional tooling | FlowlineRow-level, accelerated, assured |
| Sequencing | Manual rewriteManual, error-prone | LLM acceleratorsNot handled | FlowlineAutomatic: avoids breaking changes and bottlenecks |
| Code quality | Manual rewriteVaries, inconsistent | LLM acceleratorsTranslated, inconsistent | FlowlineBest practices baked in via proprietary agent skills |
| Multi-platform | Manual rewritePer-platform, manual | LLM acceleratorsLLM-training dependent | FlowlinePurpose-built for PowerCenter, IDMC, SSIS, Talend |
| Semantics for AI/BI | Manual rewriteYes (manual) | LLM acceleratorsNo | FlowlineProto-ontology + full semantic model |
| Ongoing management | Manual rewriteHumans, indefinitely | LLM acceleratorsNo | FlowlineAutonomous: Flowline agents manage it forever |
Manual vs automated SSIS migration
Manual migrations are slow and inconsistent because they rely on engineers reading, interpreting, and rewriting legacy code by hand. At the same time, the business logic in legacy jobs is never surfaced.
Flowline takes you from SSIS to dbt in weeks, with deterministic coverage and an ontology to show for it.
LLM vs automated SSIS migration
LLM accelerators can speed up individual pipeline conversions, but they work pipeline by pipeline, with no handling of dependency sequencing and no built-in validation. That means more time spent on coordination, more risk at cut-over, and no semantic output at the end of it. This is essentially a manual migration with a different tool.
Flowline takes the whole estate in one continuous motion: automated sequencing, row-level reconciliation, and a proto-ontology as a byproduct. This migrates you off SSIS faster, carries lower risk, and gets you the foundation your AI agents can actually reason on.
AstraZeneca migrating a global data estate with Flowline
SQL Server modernisation cost
Infinite Lambda’s Flowline modernises your legacy SQL Server system in a fully predictable way in terms of both time and budget.
Pricing depends on complexity, volume, and stack. Reach out to request a quote.
See Flowline in action
Reach out and we will show you what Flowline finds on a legacy estate like yours and give you a quote.
We start with a Flowline crawl of your existing estate to map what you have, identify what needs to move, and give you a clear picture of the migration scope. No commitment on your side.
Success Stories
We work with modern organisations to strategise and build cutting-edge solutions, help them adopt data & AI innovation, and nurture key competencies for scaling in the long run.