How Does MDR Compare?
An honest look at every approach to partner data exchange — including where MDR isn't the right fit.
Analysis of Alternatives
Feature-by-feature comparison across every approach to partner data exchange.
| Feature | BPO | EDI | Custom Portal | iPaaS | Data Platforms | Raw API | YAML | MDR | |
|---|---|---|---|---|---|---|---|---|---|
| GOVERNANCE & SECURITY | |||||||||
| Governed Contracts | |||||||||
| Full Audit Trail | |||||||||
| Per-Partner Controls | |||||||||
| Zero Data Storage | |||||||||
| SCALABILITY | |||||||||
| One-to-Many Distribution | |||||||||
| Many-to-One Consolidation | |||||||||
| Ability to Create Partner Network | |||||||||
| Complex Workflow Orchestration | |||||||||
| Real-Time Streaming | |||||||||
| AI & AUTOMATION | |||||||||
| AI Field Mapping | |||||||||
| AI Schema Generation | |||||||||
| Data Product Model | |||||||||
| PARTNER EXPERIENCE | |||||||||
| Self-Service Setup | |||||||||
| Partner Self-Onboarding | |||||||||
| No Developer Required | |||||||||
| CONNECTIVITY | |||||||||
| Any API / System | |||||||||
| Pre-Built Connectors (100+) | |||||||||
| COST & SPEED | |||||||||
| Partner Onboarding Time | None | Days | Weeks | Months | Weeks | Weeks | Weeks | Days | Hours |
| Cost per Partner | Free* | $5-50K | $6-60K | $100K+ | $50K+ | $20K+ | Dev time | Dev time | Platform |
| Time to First Transfer | Instant | Days | Weeks | 6-18mo | Weeks | Days | Days | Days | Hours |
* Email is "free" but hidden costs include manual labor, errors (1-4% rate), compliance risk, and no audit trail. Green highlights indicate features unique to MDR. Red cells in the MDR column show honest gaps where other approaches may be a better fit.
MDR Is a Great Fit When...
- Mid-market companies with 5-500+ partners
- Business users manage sharing — no developers needed
- Compliance and audit trail requirements
- Replacing spreadsheets, manual exports, or BPO data entry
- Partner onboarding needs to happen in hours, not months
MDR May Not Be the Right Fit When...
- Complex multi-step workflow orchestration is required
- Real-time streaming or sub-second latency is needed
- Internal analytics — sharing data within the same org
Interlock MDR vs the Alternatives — FAQ
How is Interlock MDR different from MuleSoft or Boomi (iPaaS)?
iPaaS builds one-off integrations you code and maintain. Interlock MDR is a layer above that — a governed rail for multi-party data exchange with contracts, audit trails, and AI-driven field mapping. If you have a few partners and dev resources, iPaaS works; if you have many partners and want business teams to manage exchanges without engineering tickets, MDR fits.
Isn’t this just EDI with a modern UI?
EDI is standards-driven and rigid (X12, EDIFACT) — great for retail supply chains that standardized decades ago. MDR is schema-flexible and AI-driven: Hot Sauce AI maps whatever fields a partner has to the product you built, and every exchange carries contract governance and a full audit trail EDI lacks.
Why not just use Snowflake Data Sharing or Databricks Delta Sharing?
Those are excellent when every party is already on the same data platform. MDR works regardless of your partner’s stack — QuickBooks, NetSuite, a custom REST API, or a flat-file export — mapping and governing it the same way, with field-level (not just table-level) control and no persistent access to your live data.
How is MDR different from Vendia?
Vendia replicates data so every partner holds a synced copy via a distributed ledger — powerful for continuous real-time sync, but heavy to implement and maintain. MDR keeps data at source; it moves only when a contract says it should, scoped, logged, and governed. For the 80% of B2B exchange that is periodic and compliance-sensitive, MDR is faster to onboard and simpler to govern.
Why use Interlock MDR over a YAML data contract (config-as-code)?
A YAML data contract describes an exchange — a schema, field definitions, maybe per-partner mappings in a repo — but it is a static file, not a governed rail. It does not authenticate the partner, execute the transfer, enforce the contract at runtime, or produce an audit trail; a developer still builds and maintains the engine around it, and an edit can silently over-share with nothing frozen and nothing logged. The partner never agreed to your YAML, cannot see it, and a schema change breaks it silently. MDR is also declarative (data products + controls) but adds the missing 90%: execution, partner authentication, runtime-frozen contract governance, a full audit trail, and zero data storage. In short — YAML documents the exchange; MDR governs and runs it.