Compare
OrbitalvsMuleSoft
Replace integration layers with a semantic layer.
MuleSoft
SourcesSystem APIsProcess APIsExperience APIsConsumersOrbital
SourcesSemantic layerConsumers
MuleSoft decouples systems through layers of APIs, flows and mappings that teams build and maintain.
Orbital removes much of that build effort: Publish your schemas, describe the desired outcome, and Orbital works out the calls, joins and transformations at runtime
Summary
Build less integration
Orbital's semantic layer replaces much of Mule's hand-built integration work, leaving less software to build deploy and maintain
7.3×
less engineering effort
80%
lower build cost
71%
lower year-one TCO
Based on an independent estimate of the same enterprise integration project. Results vary by estate and commercial terms.
- Build approach
- Orbital
Describe, then automate
Publish API specs with semantic metadata; Orbital builds integration at runtime.
- MuleSoft
Build and deploy flows
Engineers implement mappings, APIs and integration logic.
- When systems change
- Orbital
Read updated schemas
Dependent requests replan against the changed schema automatically
- MuleSoft
Repair affected integrations
API layers limit impact, but flows and mappings still need refactoring on every schema change
- API architecture
- Orbital
Separation without extra APIs
Orbital's semantic layer decouples consumers from source systems, without additional API layers to maintain.
- MuleSoft
Explicit API layers
System, Process and Experience APIs are separately built, tested and maintained layers.
- Event streams
- Orbital
Declarative stream processing
Consume, join, enrich, transform, a stream, then publish and scale all from a single TaxiQL query.
- MuleSoft
Build a processing flow
Implement listeners, connector calls, transformations, routing and publishing as Mule flows.
- AI & MCP
- Orbital
Work across systems on demand
Agents request what they need; Orbital works out which services to call and how to combine them.
- MuleSoft
Expose or build tools
Existing operations can be exposed directly. Cross-system tools require flows, mappings and orchestration.
- Platform breadth
- Orbital
Focused on integration automation
Built around connecting, querying and acting across existing systems.
- MuleSoft
Broader integration suite
Includes mature API management, rich connector ecosystem and B2B/EDI tooling.
Common changes
Day-to-day engineering
MuleSoft is a powerful platform, but its approach comes with more flows, mappings and deployable integration applications to build and maintain.
- Serve a new consumer
- OrbitalLow effort
Describe the data the consumer needs. Orbital finds, joins and transforms it across connected systems at runtime.
- MuleSoftHigh effort
Build the API, flow, mappings and transformations needed to produce the new consumer contract, then deploy as a Mule application
- Handle an upstream API change
- OrbitalLow effort
Update the API spec. Orbital replans dependent workloads against the changed source.
- MuleSoftMedium effort
Mule's API layers can help contain the blast radius, but there's still updates required to flows and mappings, which require engineering and deployment
- Build an event pipeline
- OrbitalLow effort
Read a stream, enrich it from other systems, transform it and publish the result with a single TaxiQL query.
- MuleSoftHigh effort
Each pipeline is a dedicated Mule application with listeners, service calls, transformations and publishers.
- Add a new source
- OrbitalLow effort
Connect it and describe the data it provides. Orbital automatically incorporates the new source when required.
- MuleSoftMedium effort
Configure the connector or API, then update or create flows and mappings to add the new data source.
- Give agents enterprise access
- OrbitalLow effort
Expose one semantic MCP interface across connected systems. Agents ask for the data or action they need; Orbital builds the required orchestration at runtime.
- MuleSoftMedium effort
Select and expose API operations as MCP tools. Capabilities that span systems require Mule flows, with the usual build, test and deployment lifecycle.
API-led connectivity
Mule's layers bring real overhead
Separating source systems, shared logic and consumer contracts is good architecture.
In MuleSoft, that separation is implemented as APIs, flows, mappings and Mule applications. Orbital applies it through the semantic layer at runtime — with far fewer integration assets.
Independent comparison
Platform specialists at a global systems integrator estimated the effort and cost to deliver the same project with MuleSoft and Orbital.
First year
71% lower TCO
Engineering, licensing, infrastructure and ongoing maintenance.
Ongoing
68% lower ongoing cost
Licensing, infrastructure and maintenance after the initial build.
Independent estimate based on the same enterprise integration requirements. Commercial terms and results will vary.
AI & MCP
Orchestrate agents on demand, not up-front
MuleSoft can expose pre-defined APIs and Mule capabilities through MCP.
Orbital gives the agent a universal semantic interface, orchestrating on-demand.
Agent access across an enterprise estate
Orbital
Agents ask for data or action they need. Orbital orchestrates at runtime - adapting automatically as systems change.
Identity, field-level authorisation and sensitive-data controls are enforced during execution.
MuleSoft
Existing API operations can be exposed as MCP tools. Cross-system capabilities are built as Mule flows.
Tools are defined and deployed up front, then maintained as systems change.
Scope
When MuleSoft makes sense
MuleSoft is a mature iPaaS, with particular strengths in packaged SaaS connectivity, Salesforce and B2B/EDI.
Choose Orbital when…
- Your teams ship fast — integrations need to keep up. APIs, schemas, providers and requirements change frequently. Orbital adapts without repeatedly rebuilding flows and mappings.
- You’re integrating bespoke systems and industry feeds. Internal APIs, microservices, event streams and specialist and you require bespoke mapping.
- You’re running a distributed architecture. Data and capabilities live across many systems, so delivering an outcome often means joining, transforming and orchestrating across several systems.
Choose MuleSoft when…
- You rely heavily on packaged SaaS connectors. MuleSoft has hundreds of prebuilt connectors for common SaaS and enterprise applications. If much of your integration work is connecting packaged software, Mule's a great fit.
- You're deeply invested in Salesforce. MuleSoft integrates deeply with Salesforce and Agentforce. If Salesforce is central to your stack, that’s a real advantage.
- You rely on Anypoint Partner Manager. If B2B partner onboarding and EDI are core requirements, MuleSoft has a purpose-built product for managing trading-partner integrations.
Adoption
Migrate from Mulesoft incrementally
Add Orbital alongside your existing Mule APIs, move new work first, then migrate existing integrations over time.
- 1
Keep existing Mule APIs
Orbital consumes them like any other API.
- 2
Add the semantic layer
Orbital generates your semantic layer from your existing APIs
- 3
Move new work to Orbital
Build new consumers, pipelines and agent capabilities without adding more Mule flows.
- 4
Retire Mule apps over time
Move existing workloads as they change, then remove the applications they replace.
Frequently asked questions
Got another gnarly question? We’d love to hear it. Come and chat on Slack.
Build less integration.
See what one of your MuleSoft workloads looks like on Orbital.
