White-glove migration to Supaflow
Move from Informatica to Supaflow with the veterans who helped build Informatica Cloud. Get a fixed-price migration, validated pipelines and dbt models, and a plan to recover your migration investment through recurring subscription savings.
Fixed project price · Validated delivery · Documentation and training
Your Informatica estate
Supaflow + dbt Core
Data movement pipelines, suitable transformation models, and the documentation your team needs to operate them.
Accepted outputs before retirement
Experienced Team
Informatica Cloud veterans working with your technical owners and SI partners.
Clear Milestones
Blueprints, implementation batches, validation evidence, documentation, and training.
Measurable Savings
Recurring savings measured against the complete migration investment.
Experience that matters
Supaflow was founded by Informatica veterans who were part of the original team that built Informatica Cloud. We bring firsthand integration experience and strong relationships with systems integrator partners to the migration.
Our experience comes from building enterprise integration systems from the inside. We bring that understanding to complex mappings, custom code, and tightly coupled workflows, working alongside your technical owners and SI partners from architecture through handover.
Meet SupaflowFrom workload to working platform
Keep the business behavior your teams rely on while moving data movement and suitable transformations into a maintainable target architecture. Every workload gets an implementation decision and a path to acceptance.
Capture logic and dependencies
Build and review the replacement
Accept, cut over, and operate
Your migration assessment
We review your estate with the people who know it: technical owners, business stakeholders, and your SI partner. The assessment turns workload definitions, operating requirements, and contract dates into four practical outputs.
01
A workload inventory classified by complexity, with shared logic, custom functions, data sources and targets, execution dependencies, and downstream consumers. Identify unused assets and the workloads that need individual engineering.
02
A design for Supaflow pipelines and suitable dbt models, including incremental processing, shared transformations, schedules, and retained systems. Migration waves account for dependencies, business priority, and validation readiness.
03
A fixed-price proposal with milestones, a representative first wave, acceptance checks and tolerances, customer responsibilities, and post-cutover support. Custom-code decisions and exclusions are recorded before delivery begins.
04
A business case connecting renewal and retirement dates to charges you can eliminate. Replacement subscriptions, parallel operation, ongoing expenses, and the full transition investment stay in the calculation.
Discovery first. Technical assessment scope and fees agreed upfront.
The details we take care of
01
Lookups, expressions, update strategies, and reusable mapping logic can carry years of business decisions. We document the required behavior before rebuilding ingestion pipelines and appropriate dbt models.
02
A first load passing validation does not prove that updates, late-arriving records, or historical dimensions behave correctly. We agree on test cases for the processing patterns in your migration scope.
03
Parameter files, custom scripts, external schedulers, and downstream reports can determine whether a workflow is ready for retirement. Assessment identifies these dependencies and their owners.
04
A technical cutover and a subscription cancellation may happen on different dates. We plan migration waves against your reporting requirements, contract terms, and actual retirement window.
Outcome-based delivery
Your migration progresses through visible delivery milestones. You receive the architecture, implementation, validation evidence, and operating documentation needed to review each wave. The statement of work sets the fixed price, timeline, and acceptance criteria; scope changes are agreed separately.
Review exports, shared logic, custom code, schedules, and downstream consumers. Group migration waves by dependency, complexity, and business priority, with a representative first wave.
You receive
Build the first wave, then apply reviewed patterns across delivery batches. Refactor suitable transformations into modular dbt models and resolve custom behavior with your technical owners.
You receive
Compare row counts, agreed column values, and business metrics over matched data windows. Test incremental changes and reruns; run in parallel where feasible and resolve differences before approval.
You receive
Check refresh windows and recovery readiness before switching accepted workloads. Train operators, support the agreed transition period, and confirm retirement prerequisites with system owners.
You receive
Engineering and AI assistance
We review PowerCenter XML or cloud integration exports alongside parameters, scripts, and workflow definitions. Semi-automated conversion and AI assistance support the work where appropriate; our engineers resolve conversion gaps and review each implementation. A representative first delivery wave establishes the design and validation approach before we expand across the estate.
Supaflow pipelines handle supported data movement. dbt Core models implement suitable transformation logic. We define execution dependencies and any retained systems in the target design.
Filters, joins, aggregations, and SQL expressions become candidates for dbt models. Lookups, update strategies, SQL overrides, and stateful logic get explicit design decisions, including how incremental loads and dimension history will work.
Identify reusable mapplets and repeated expressions, separate staging from business transformations, and define model dependencies. Document how each source mapping relates to the delivered pipelines and models so your team can trace the business rules.
Check null handling, date and time conversions, numeric precision, join cardinality, and duplicate handling. Compare agreed outputs and business metrics, with mismatches tracked through resolution and acceptance.
Our team owns delivery from source logic to accepted workloads. You receive implementation batches, mapping documentation, and validation evidence throughout the project.
Identify the Informatica charges that actually disappear when the agreed workloads move. Compare them with the complete replacement cost before committing to the project.
Separate active workflows from redundant or unused assets. Preserve required business rules while reducing the number of jobs your team must operate.
Rebuild supported data movement in Supaflow and suitable transformation logic in dbt Core. Define scheduling, dependencies, and operational ownership as part of the target design.
Migration payback calculator
Estimate delivery, investment, and subscription savings from your workload. USD · planning estimates.
Group active workloads by complexity. For Talend, count jobs.
Include legacy charges you can cancel and the full replacement subscription cost.
A fixed-price proposal replaces the estimated migration budget. Include new infrastructure, hires, contractors, and retained tools in additional operating expenses. Other transition costs cover expenses outside the migration proposal, such as external tool fees and exit charges.
3-year ROI after legacy retirement
392%
$315,492 net benefit · 100 workloads
3.8–7.0 months
$62,608–$115,894
9.5–17.5 months
Migration budget: $75,658 · Transition operation: $4,850
Legacy retirement: 4.8 months · Payback after retirement: 7.3 months
Includes transition operating costs. No staff redeployment savings.
Get my fixed-price migration planSimple mappings: Pass-throughs, filters, basic lookups. Medium mappings: Aggregators, joiners, routers, basic SCDs. Complex mappings: Nested maplets, custom logic, procedural overrides.
Mapping counts and complexity determine the delivery and budget range. The planning model assumes semi-automated conversion for eligible simple and medium workloads, engineering of complex workloads, refactoring and redesign, testing, validation, and cutover preparation. Actual scope, dependencies, replacement subscription pricing, and contractual retirement dates are confirmed during assessment. The estimate is not a binding quote or a guaranteed delivery date; the service is sold at a fixed project price.
Investment = migration budget + other transition costs + replacement costs before retirement. We assume full replacement operating costs from kickoff through retirement; legacy subscriptions remain the baseline and are not added again. Net monthly savings = retired subscriptions − replacement subscriptions − additional operating expenses. Payback after retirement = investment ÷ net savings. Kickoff payback adds time to retirement. Three-year ROI = (36 months of net savings − investment) ÷ investment. Costs remain constant; discounting and taxes are excluded.
Migration questions
The agreed scope covers workload assessment, target design, pipeline rebuilding, output validation, phased cutover, documentation, and handover. The statement of work identifies included workloads, responsibilities, acceptance criteria, and post-cutover support.
We assess PowerCenter mappings and workflows as well as cloud data integration tasks. Source and destination coverage, custom code, dependencies, and required processing behavior determine what we can commit to migrate. The assessment makes exclusions explicit before you accept a project price.
Our engineers use mapping exports and workflow definitions to reconstruct business logic, identify dependencies, and build the replacement. AI assistance supports analysis and conversion where appropriate; engineering review and output validation establish correctness. Conversion is delivered through our managed migration service rather than a self-service importer.
SQL-oriented transformation logic can be a candidate for dbt Core models. Stateful processing, custom scripts, and specialized transformations need individual design decisions. We identify the target implementation during assessment rather than assume every mapping translates directly into dbt.
After assessment, we quote a fixed project price for the agreed scope and acceptance criteria. Mapping complexity, custom code, validation requirements, and cutover responsibilities determine the price. Changes outside that scope are agreed and priced separately; the service is not sold by consulting hours.
They can when the subscription charges you retire exceed the full replacement operating cost by enough to recover the transition investment. We include migration fees, internal implementation effort, parallel operation, and any new ongoing costs. Savings start when the legacy charges actually stop; staff redeployment is not counted as cash savings.
These services focus on the data integration workloads agreed in your statement of work. We do not assume that Supaflow replaces the whole Informatica portfolio. MDM, specialized data quality, application integration, and other dependencies must be assessed separately and may be retained or assigned a separate solution.
We agree on output comparisons, critical business metrics, refresh requirements, and recovery tests. Where the environment permits, legacy and replacement workloads run in parallel before migration waves are accepted. Your cutover plan defines the switching window, rollback criteria, and named approvers around your reporting requirements.
Start with your estate
Start with a discovery conversation about your workloads, business priorities, and renewal dates. We then define the technical assessment, review exports through a suitable channel, and develop your migration blueprint and fixed-price proposal. Assessment scope and any fees are agreed before technical work begins.
Please do not include credentials, customer data, or confidential mapping exports in this form. We can arrange a suitable channel for technical discovery.
Share your starting point. Our team will contact you to arrange discovery and discuss the assessment.