Different tools. Different layers of the stack. Here's how they compare.
Quick take
Make orchestrates multi-step scenarios across apps. Meshes delivers product events to downstream systems reliably.
Choose Meshes when
Your SaaS emits events like signups, payments, and cancellations that need to land in HubSpot, Salesforce, Mailchimp, and other tools with retries, deduplication, replay, and per-customer workspace isolation built in.
Choose Make when
Your team needs to transform data between steps, branch with conditional logic, iterate over arrays, aggregate results, or orchestrate processes that go well beyond delivering one event from point A to point B.
Unit economics
Make counts credits across scenario modules, including the trigger. Meshes counts one source event regardless of how many destinations receive it.
Rule of thumb: 1 product event x 3 destinations usually means 4+ Make credits: one webhook trigger plus three downstream modules. Routers, filters, iterators, aggregators, and transformation steps all add more credits.
Scenario 01
Meshes
500 events
Make
2,000+ credits
At minimum, each signup triggers one webhook module plus three destination modules. That is four credits before any filters, routers, or transforms.
Scenario 02
Meshes
2,000 events
Make
12,000+ credits
One trigger, one router, and four destination modules is already six credits per event. Additional logic only increases the total.
Scenario 03
Meshes
2,000 events
Make
8,000+ credits
Lifecycle events usually touch CRM, email, support, and webhook destinations. Credits scale with every module execution across the scenario.
The architecture difference
Make handles what happens between steps. Meshes handles getting your event to every destination reliably.
Make
You build scenarios with triggers, modules, routers, filters, iterators, aggregators, and error handlers. Data moves through a visual canvas where each step can transform, branch, or combine results.
Meshes
Your app sends an event once. Meshes fans it out to every configured destination in parallel, retries failures, captures dead letters, and logs delivery status per destination. There is no scenario canvas because there is no scenario to build.
Use both when it helps. When you need transformation logic and reliable delivery, Meshes can deliver to a Make webhook trigger with the same retry guarantees it gives HubSpot, Salesforce, and other destinations.
Feature comparison
| Capability | Meshes | Make |
|---|---|---|
| Architecture | ||
| Built for | Product event delivery to SaaS integrations | Visual multi-step automation between apps |
| How it works | Your app sends events via API or SDK | Triggers fire scenarios with sequential and branching modules |
| Billing unit | Events, with fan-out included | Credits consumed across scenario modules, including triggers |
| Customer-facing embed | White-label workspace for your customers | Built for your team, not an embeddable customer-facing UI |
| Reliability and delivery | ||
| Automatic retries | Exponential backoff with jitter, built in | Error handling and retry behavior configured inside scenarios |
| Delivery deduplication | Idempotent event IDs on delivery | No built-in delivery deduplication model |
| Dead letter capture | Dedicated failed-delivery state and replay path | Incomplete executions can be saved for review |
| Event replay | Replay failed deliveries per destination | Manual re-run of incomplete scenario executions |
| Fan-out routing | One event to multiple destinations in parallel | Router modules split scenarios into branches, each consuming credits |
| Developer experience | ||
| SDKs | Node.js and Go | Webhook triggers, app modules, and HTTP integrations |
| Delivery observability | Per-destination event history, failure details, and replay | Per-scenario execution logs |
| Credential model | Per-workspace customer connections managed by Meshes | Credentials attached to scenarios and modules inside Make |
| Fan-out cost multiplier | One event can reach many destinations | Each additional module or branch adds credits |
| Workflow capabilities | ||
| Multi-step logic | No, intentionally narrow | Yes: routers, filters, iterators, and aggregators |
| Data transformation | Light routing and mapping, not general orchestration | Built-in mapping, functions, and code modules |
| Integration scope | Focused on product-critical SaaS tools | Broad app catalog and custom HTTP modules |
| Visual builder | No | Yes |
Architecture
Meshes
Product event delivery to SaaS integrationsMake
Visual multi-step automation between appsMeshes
Your app sends events via API or SDKMake
Triggers fire scenarios with sequential and branching modulesMeshes
Events, with fan-out includedMake
Credits consumed across scenario modules, including triggersMeshes
White-label workspace for your customersMake
Built for your team, not an embeddable customer-facing UIReliability and delivery
Meshes
Exponential backoff with jitter, built inMake
Error handling and retry behavior configured inside scenariosMeshes
Idempotent event IDs on deliveryMake
No built-in delivery deduplication modelMeshes
Dedicated failed-delivery state and replay pathMake
Incomplete executions can be saved for reviewMeshes
Replay failed deliveries per destinationMake
Manual re-run of incomplete scenario executionsMeshes
One event to multiple destinations in parallelMake
Router modules split scenarios into branches, each consuming creditsDeveloper experience
Meshes
Node.js and GoMake
Webhook triggers, app modules, and HTTP integrationsMeshes
Per-destination event history, failure details, and replayMake
Per-scenario execution logsMeshes
Per-workspace customer connections managed by MeshesMake
Credentials attached to scenarios and modules inside MakeMeshes
One event can reach many destinationsMake
Each additional module or branch adds creditsWorkflow capabilities
Meshes
No, intentionally narrowMake
Yes: routers, filters, iterators, and aggregatorsMeshes
Light routing and mapping, not general orchestrationMake
Built-in mapping, functions, and code modulesMeshes
Focused on product-critical SaaS toolsMake
Broad app catalog and custom HTTP modulesMeshes
NoMake
YesImplementation
Same event, different approach. One is a delivery call. The other is a scenario definition.
Meshes
import { Meshes } from "@mesheshq/events";
const meshes = new Meshes({ apiKey: process.env.MESHES_KEY });
await meshes.track("user.signup", {
email: user.email,
plan: user.plan,
source: "website",
});Make
await fetch("https://hook.make.com/your-scenario-webhook", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ email, plan, source }),
});
// Then inside Make you build the scenario:
// - Webhook trigger module
// - Router module
// - HubSpot module
// - Salesforce module
// - Mailchimp module
// - Slack module
//
// Great when you need transformation,
// branching, or aggregation between steps.
// More credits and more scenario ownership
// when the job is just reliable delivery.A webhook trigger, one router, and four downstream modules is already six credits per event. The more branching or transformation you add, the more each delivery costs.
When the job is "deliver this event to four systems reliably," Meshes replaces the scenario you would otherwise build and maintain. When the job is "transform data, branch on conditions, iterate over arrays, and orchestrate a multi-step process," Make is the right tool.
Why engineering teams choose Meshes
Meshes does one thing: get product events to downstream systems reliably. No scenario canvas, no module wiring, and no credit counting per step when the event just needs to land.
Retry behavior, dead letter capture, and replay are delivery defaults. You do not recreate error handling logic in each scenario or destination branch.
Make scenarios execute module by module. Meshes fans one event out to every configured destination in parallel so fan-out does not become a branch-heavy automation graph.
Give customers a white-label workspace where they connect their own tools. Meshes is built for customer-facing connection ownership, not your internal automation workspace.
Search by event, inspect status per destination, see failures, and replay without tracing separate scenario runs or incomplete executions across multiple flows.
If your team already uses Make for internal automation, keep it there. Meshes can deliver events to a Make webhook trigger just like any other destination.
Common questions