Comparison
superglue vs MuleSoft
Built for teams drowning in Anypoint Platform complexity and six-figure contracts. superglue uses AI to build and maintain integrations automatically—no API-led architecture required.
Setup time
Maintenance
Skill needed
Annual cost
10x
Faster setup
90%
Lower TCO
0
Devs needed
1.9K+ GitHub stars
Backed by 
Combinator
CombinatorOpen source
Last updated: March 2026
Feature Comparison
How they stack up
| superglue | MuleSoft | |
|---|---|---|
| Integration approach | AI agent builds integrations from natural language | Code-heavy API-led connectivity with Anypoint Platform |
| Setup time | Minutes | Months — requires API design, DataWeave transforms, and CloudHub deployment |
| Technical skill | None required | High — MuleSoft-certified developers and DataWeave expertise needed |
| Self-healing | Automatic — AI detects and repairs failures | No — manual error handling and monitoring |
| superglue | MuleSoft | |
|---|---|---|
| API coverage | Any API — works with any documented system | Large ecosystem — Anypoint Exchange with 400+ connectors, but custom integrations require DataWeave |
| Governance | Built-in RBAC and audit trails | Enterprise-grade — Anypoint API Manager with comprehensive governance |
| Deployment | Cloud or self-hosted (open-source) | CloudHub, Runtime Fabric, or on-premise (complex deployment topology) |
| Migration support | AI-assisted — migrate existing workflows | N/A |
| superglue | MuleSoft | |
|---|---|---|
| Pricing | Starts free, scales with usage | $150K+/year — per-vCore pricing with add-ons for API management and monitoring |
| Maintenance | Automatic — adapts to API changes | Manual — runtime management, DataWeave updates, and Mule version upgrades |
| Open source | Yes — no vendor lock-in | Partially — Mule runtime was open source, now mostly proprietary under Salesforce |
| Team overhead | Zero — no integration specialists needed | Very high — dedicated MuleSoft team with specialized certifications |
Migration
Switching from MuleSoft is simple
Start with one workflow. Expand from there.
1
Pick a workflow
Choose one MuleSoft flow to migrate—ideally one with complex DataWeave transforms or high maintenance costs.
2
Describe it to superglue
Tell the AI agent what the integration does in plain English. It reads your API docs and builds the workflow.
3
Validate and go live
Review, test against your systems, and switch over. superglue handles maintenance from there.
FAQ
Common questions
Yes. Most teams migrate one workflow at a time while keeping MuleSoft running for the rest. There's no need to rip and replace—you can move at your own pace and only decommission MuleSoft once you're fully confident.
superglue supports role-based access control, audit logging, and can be self-hosted inside your own infrastructure. The open-source core means you can inspect every line of code that touches your data.
superglue works with any API automatically—it doesn't depend on pre-built connectors or exchanges. Rather than maintaining a library of connectors that need updating, superglue's AI reads API documentation directly and builds integrations on the fly, covering any system with an API.
Yes. superglue is used in production by enterprise teams today, including organizations managing Salesforce workflows at scale. It's backed by Y Combinator and has an active open-source community.
API-led connectivity is a powerful architectural pattern, but it comes with significant complexity—requiring integration architects, DataWeave expertise, and multi-month implementation cycles. superglue delivers the same integration outcomes without requiring specialized skills or prolonged timelines, letting your team focus on business value instead of platform management.
Ready to replace MuleSoft?
See superglue in action and find out how much time and money you can save.