SSIS Migration
SSIS to Azure Data Factory and Fabric migration - we modernise two decades of legacy ETL, lifting and shifting where it is safe and rebuilding native pipelines where it pays.
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Modernise Legacy ETL: Australia's SSIS Migration Specialists
Two decades of business logic sits inside your SSIS packages, and the squeeze is on. Microsoft's investment has moved to Azure Data Factory and Fabric Data Factory, with official migration paths and a new Invoke SSIS Package activity in Fabric for lift-and-shift, while every on-premise infrastructure refresh costs more than the last. SureLogic modernises that estate properly. We inventory and tier your packages by complexity, then migrate in waves - lifting and shifting where it is safe, and rebuilding as native cloud pipelines or notebooks where it genuinely pays. You exit ageing on-premise ETL for a modern, governed data integration platform without losing the logic your business depends on.
Know Your Estate
We inventory and tier every SSIS package, turning years of undocumented integration logic into a clear map, so you modernise what matters and retire what nobody runs.
Lift or Rebuild
Each package is migrated the right way - lifted and shifted where it is healthy, rebuilt as a native pipeline where that pays - so you avoid both fragile shortcuts and needless re-engineering.
Exit On-Premise
We move you off ageing on-premise SSIS infrastructure that costs more to refresh each cycle, onto a modern, governed Data Factory or Fabric platform built for the cloud.
No Integration Gap
We migrate in validated waves and run new pipelines in parallel before cutover, so the data integration your business depends on keeps running and nothing is switched off until proven.
Split Done Right
Pipelines go to SureLogic and reports go to Report Simple, so a full SQL Server exit is handled by specialists on each layer rather than one generalist stretched across both.
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Our SSIS Migration Services
SSIS Package Estate Inventory
Start by knowing exactly what you are modernising. We inventory your entire SSIS estate - packages, projects, connection managers, dependencies and schedules - and document what each one actually does and how often it runs. Years of undocumented integration logic become a clear, catalogued map. You finally have visibility of the pipelines quietly running your business, and the unused or redundant ones flagged for retirement rather than migration.
Complexity Tiering & Migration Strategy
Decide what to lift, what to rebuild, and what to leave behind. We tier each package by complexity and value, so the migration approach fits the asset rather than forcing one method on everything. Simple, healthy packages lift and shift cleanly; complex or fragile ones are candidates for a native rebuild that pays back in performance and maintainability. You get a wave-based migration plan that sequences the work by risk and return, not guesswork.
Lift-and-Shift to Data Factory
Move the packages that are fine as they are, quickly and safely. For the large share of your estate that is healthy, we lift and shift into Azure Data Factory or Fabric, using the Invoke SSIS Package activity where it makes sense to preserve existing logic with minimal change. Connections are repointed, schedules reinstated and runs validated. You get off ageing infrastructure fast, without re-engineering pipelines that were never the problem.
Native Pipeline & Notebook Rebuild
Rebuild the packages where a clean cloud-native version genuinely pays. Some integration logic deserves better than a lift and shift - the slow, fragile or business-critical pipelines. We rebuild these as native Data Factory pipelines or Fabric notebooks, modernising the design while preserving the outcome. The result is faster, more reliable data integration on a platform your team can actually maintain, rather than carrying decades of accumulated SSIS debt into the cloud.
Validation, Cutover & Decommission
Land the migration with the data proven and the old servers retired. We validate every migrated pipeline against its SSIS original, confirm row counts and outputs match, and run in parallel until the business trusts the new platform. Then we cut over, reinstate scheduling and monitoring, and decommission the legacy estate. You exit on-premise SSIS cleanly, with your integration logic modernised and nothing left running on infrastructure you no longer want.
190+ Australian organisations Choose Surelogic.
570+ Successful Projects
We bring deep architectural experience to every engagement, having engineered hundreds of secure, scalable data platforms and semantic models across Australian industries.
100% Australian Owned
We never farm your data assets out to offshore teams. Our team is entirely Australian-based, guaranteeing flawless communication, immediate timezone alignment, and strict data sovereignty.
Your Tenant, Your IP
We build directly inside your cloud environment so the infrastructure is entirely yours - including semantic models, custom code, and IP. You maintain absolute control without vendor lock-in.
Partnering with SureLogic was a game-changer for Cupid Media. They turned our outdated reporting process into a modern, data-driven strategy that delivered real-time insights and cost savings we didn’t think possible. Their expertise in BigQuery, Tableau and machine learning brought immediate value to our business.
Ben Snart
Chief Product Officer, Cupid Media
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Our Proven SSIS Migration Framework
Our senior engineers inventory your estate, migrate in tiered waves, and retire on-premise SSIS without breaking the pipelines your business runs on.
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Estate Inventory & Tiering
We inventory every SSIS package and tier it by complexity, usage and value, flagging redundant logic for retirement. You receive a package inventory and a wave-based migration plan that says clearly what to lift and shift, what to rebuild as native pipelines, and in what order, with risk and effort mapped before any work begins.
Wave Migration & Rebuild
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We migrate in waves, lifting and shifting healthy packages into Data Factory or Fabric and rebuilding the complex ones as native pipelines or notebooks. Each wave is validated against its SSIS original, with row counts and outputs reconciled. Scheduling and monitoring are reinstated as we go, so integration keeps running throughout the move.
Validate, Cutover & Decommission
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We run the new pipelines in parallel until the business trusts them, then cut over, confirm scheduling and monitoring, and decommission the legacy SSIS estate. Your team receives documentation and handover of the modernised platform. You leave ageing on-premise infrastructure behind with your integration logic proven on a governed cloud platform.
SSIS Migration FAQs
Why migrate off SSIS now?
Microsoft's investment has clearly moved from SSIS to Azure Data Factory and Fabric Data Factory, and ageing on-premise infrastructure costs more to refresh every cycle. SSIS still runs, but it is a platform in maintenance, not development, while the modern tools gain capability and Microsoft publishes official migration paths. Treating the move as planned rather than forced lets you modernise integration on your timeline and stop pouring money into on-premise hardware.
Often paired with a platform rebuild - see our data warehouse consulting page.
Do we have to rebuild every SSIS package from scratch?
No - most healthy packages lift and shift into Data Factory or Fabric with minimal change, often using the Invoke SSIS Package activity to preserve existing logic. We only rebuild the packages where a native cloud version genuinely pays, such as the slow, fragile or business-critical ones. Tiering the estate by complexity and value means you modernise where it matters and avoid expensive re-engineering of pipelines that were never the problem.
What is the difference between Azure Data Factory and Fabric Data Factory?
Azure Data Factory is Microsoft's standalone cloud integration service, while Fabric Data Factory is the same capability brought inside the unified Microsoft Fabric platform alongside your warehouse, lakehouse and reporting. If your future is Fabric, migrating integration there keeps everything in one governed platform; if not, Data Factory is the proven standalone path. We assess your direction and migrate to whichever fits, rather than forcing a platform choice.
Will our data integration keep running during the migration?
Yes - we migrate in waves and run the new pipelines in parallel with SSIS until each is validated, so the integration your business depends on keeps running throughout. Row counts and outputs are reconciled against the originals before anything is switched over, and scheduling and monitoring are reinstated as we go. The legacy estate is only decommissioned once the modern platform is proven, so there is no integration blackout.
Modern integration feeds AI-ready data - see our preparing your data for AI page.
We are exiting on-premise SQL Server - does the reporting move too?
The pipelines and the reports are two different jobs, split across two specialist brands. SureLogic modernises the data integration and platform - the SSIS pipelines feeding your reporting - while Report Simple handles the Power BI and paginated report migration on top. Together that covers a full on-premise SQL Server exit, with each layer done by the team that specialises in it rather than one generalist stretched across both.
78% of new clients engage us for recurring data partnerships
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Palm Beach, QLD, 4221, Australia