Rising renewal costs
vCore and runtime pricing grows faster than your integration volume.
Migration Services
Move off MuleSoft Anypoint without starting over.
Automated conversion does the heavy lifting. Our migration engineers handle the rest, including testing, cutover and knowledge transfer.
Mule XML and DataWeave converted automatically
Parallel run before cutover
You own the code
Why teams migrate
The reasons we hear in every first conversation.
Mule 3 end-of-life and Mule 4 upgrade pain
If you have to rewrite anyway, rewrite toward something you own.
Runtime lock-in
CloudHub and Runtime Fabric limit where and how you deploy.
Resource-heavy runtimes
The JVM footprint inflates infrastructure spend.
Talent and tooling
It's easier to staff and operate standard Go microservices and containers.
Sound familiar?
Find out how much of your estate converts automatically, free.
Get a Free Assessment
What converts automatically
Every Mule pattern you rely on, mapped to a native equivalent.
Import Anypoint Studio projects as XML files or a ZIP. Uniflox maps components, converts DataWeave and Groovy, and recreates your global configurations.
| Mule element | Uniflox equivalent |
|---|---|
| Flows, sub-flows, flow-ref | Flows and Flow Reference |
| Choice, Scatter-Gather, For Each, Try, Until Successful, First Successful, Round Robin | Native flow-control blocks |
| Batch Job / Step / Aggregator | Batch components |
| On Error Continue / Propagate, Raise Error | Equivalent error handlers |
| Transform Message (DataWeave 2.0) | GoWeave / native Go transformation |
| Groovy / scripting | Go (converted) |
| APIkit Router & Console (RAML/OAS) | APIkit-compatible router |
Global elements (*:config) | Global Configurations, created automatically |
| HTTP, DB, File, FTP, SFTP, Email, Kafka, AMQP/RabbitMQ, JMS, VM, MongoDB, Redis, Cassandra, Salesforce, LDAP, S3, SQS/SNS, SOAP/WSC, WebSocket, OAuth2 Provider, TLS, XML, JSON, Validation, Compression, Object Store, Cache, X12/EDIFACT | Matching Uniflox connectors |
| Payload / attributes / variables | Uniflox FlowData message model, the same mental model |
Transparency note: Every import produces a preview report of converted flows, generated global configurations and a list of unmapped elements. You always know what needs manual attention, and nothing is silently dropped.
See the conversion
From Mule XML to a Go service you can read.
The flow you designed in Anypoint Studio becomes a Uniflox flow on the visual canvas, and then clean, readable Go code. Listeners, database calls, DataWeave transforms and error handlers all come across.
- Automated conversion of flows, scopes, error handlers and connectors
- DataWeave 2.0 converted to native code
- Batch, Scatter-Gather, Choice, For Each and Try scopes preserved
- Standard Go source, with no lock-in to us either
<flow name="get-customer"> <http:listener config-ref="HTTP_Listener" path="/customers/{id}"/> <db:select config-ref="Customers_DB"> <db:sql>SELECT * FROM customers WHERE id = :id</db:sql> </db:select> <ee:transform> %dw 2.0 output application/json --- { id: payload[0].id, name: payload[0].full_name } </ee:transform> <error-handler> <on-error-propagate type="DB:CONNECTIVITY"/> </error-handler> </flow>
flow: get-customer trigger: type: http-listener config: HTTP_Listener path: /customers/{id} steps: - db-select: config: Customers_DB sql: SELECT * FROM customers WHERE id = :id - transform: goweave: "{ id: payload[0].id, name: payload[0].full_name }" onError: - propagate: DB:CONNECTIVITY
func getCustomerFlow(msg *flow.Message) error { rows, err := customersDB.Select( "SELECT * FROM customers WHERE id = ?", msg.Param("id")) if err != nil { return flow.Propagate("DB:CONNECTIVITY", err) } msg.SetPayload(map[string]any{ "id": rows[0]["id"], "name": rows[0]["full_name"], }) return nil }
Illustrative example. Generated output varies by project.
Our migration methodology
Four phases, from inventory to decommission.
A repeatable process refined on real Anypoint estates, with a clear output at the end of every phase.
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Assess 1–2 weeks
Automated inventory of your Anypoint estate: applications, flows, connectors, DataWeave complexity, custom Java and policies.
Output: a migration readiness report, conversion-coverage score, effort estimate and wave plan.
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Convert 2–6 weeks per wave
Automated import and conversion, then engineer-led remediation of unmapped components, custom Java and complex transformations.
Output: Uniflox projects under version control.
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Validate Parallel run
Side-by-side testing against your existing Mule applications, covering functional parity, payload comparison, performance benchmarking and security review.
Output: a signed-off test evidence pack.
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Cut over & optimize
Zero-downtime cutover through a traffic shift or blue/green deployment, followed by hypercare, Mule decommissioning support, and team training and handover.
Durations are indicative and depend on estate size.
Engagement options
Start small, prove it, then scale.
Every engagement begins with an assessment, so the scope and price of each later phase are based on your actual estate.
Migration Assessment
Best for: understanding feasibility and cost
Estate scan, readiness report, effort and TCO estimate, and a roadmap.
Fixed fee: [price]; free for qualifying pilots.
Pilot Migration
Best for: proving it on 1–3 real applications
Assessment plus conversion, parallel-run validation and production deployment for the pilot scope.
Full Estate Migration
Best for: complete exit from Anypoint
Wave-based migration, program management, testing, cutover, decommissioning and training.
Migration Factory
Best for: large estates (100+ apps)
A dedicated delivery pod, automation pipeline, SLAs and a continuous wave cadence.
Risk-reduction commitments
You don't switch until the numbers match.
Migrating integration infrastructure is high-stakes. These commitments are built into every engagement, not sold as extras.
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Parallel run before cutover
You don't switch until the numbers match.
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Fixed-scope pricing
Per wave, after the assessment.
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Rollback plan
For every production cutover.
-
You own the code
Standard Go source, with no lock-in to us either.
TCO
See what you could save.
Move the sliders to reflect your current Anypoint estate and get an indicative annual savings range.
$50k$500k$3M
116200
Estimated annual savings
$125k – $225k
Get a detailed TCO report
Illustrative estimate based on conservative assumptions (25–45% of current annual platform spend). Your assessment report uses your actual estate.
FAQ
Migration questions, answered.
Do we have to rewrite our DataWeave?
No. Uniflox converts DataWeave 2.0 scripts automatically, and engineers review anything complex.
What about custom Java components?
The converter maps common Java usage to Go equivalents. Remaining custom logic is rewritten by our engineers and scoped during assessment.
Can we migrate gradually?
Yes. Migrations run in waves, so Mule and Uniflox applications can run side by side during the transition.
Do we need Mule 4 first?
No. Tell us your runtime versions and we'll assess your specific estate.
What happens to our API specifications?
Your RAML and OpenAPI specs are reused directly by the Uniflox APIkit-compatible router.
How long does a migration take?
A pilot typically takes [4–8] weeks. Full-estate timelines come from the assessment.
Can our team do the migration themselves?
Yes. The import tool is part of the product. We offer training and on-call expert support for self-led migrations.
Send us one Mule application. We'll send back a conversion report, free.
See exactly what converts automatically, what needs attention and what a migration would take.