MasonXPay vs Hyperswitch: pick by stack and scope, not by star count.
Hyperswitch (by Juspay) is a Rust-based payment switch with a large connector catalog and an ecosystem aimed at high-scale routing. MasonXPay is a Java/Spring Boot payment operations platform that pairs routing with billing workflows and a merchant dashboard in one deployable unit. Both are credible; the right choice depends on what your team runs well and how much surface you want.
Decision artifact
A dimension-by-dimension matrix and a fit checklist for each project.
Search intent
Compare MasonXPay against Hyperswitch as open-source payment orchestration options.
User job
Pick an open-source orchestration project that matches the team’s stack, connector needs, and appetite for operational complexity.
Both are open-source orchestration. They differ in stack, scope, and surface area.
Choose by primary job: Hyperswitch leads with connector breadth and switch-style routing at scale; MasonXPay leads with an integrated operations surface — routing plus subscriptions, invoices, webhooks, and payment search in one platform.
Choose by stack: Hyperswitch is Rust with its own deployment topology; MasonXPay is Java 21/Spring Boot with Postgres, deliberately shaped as a modular monolith a small team can reason about.
Connector counts differ honestly: Hyperswitch maintains a large connector catalog; MasonXPay ships four implemented PSP adapters (Stripe, Square, Braintree, Mollie) plus a deterministic simulator, with a documented connector-development path.
Both keep card data with PSP tokenization. Neither makes you an acquirer.
Commercially: both self-host for free. MasonXPay’s managed plan is a flat $99/month with no transaction-volume pricing.
The practical difference in one table.
| Dimension | Hyperswitch | MasonXPay |
|---|---|---|
| Core stack | Rust core, multiple services, Postgres + Redis; aimed at switch-grade throughput. | Java 21/Spring Boot modular monolith with Postgres as financial truth; Redis and Kafka are optional acceleration, not state authority. |
| Connector coverage | Large maintained connector catalog across PSPs and payment methods. | Four implemented PSP adapters plus the Mason Simulator; a catalog model maps the broader ecosystem and adapters are added deliberately. |
| Billing and subscriptions | Routing-first scope; billing workflows are not the center of the product. | Subscriptions, invoices, off-session attempts, and recovery workflows are first-class, sharing the payment state model. |
| Operations dashboard | Control-center UI focused on routing configuration and analytics. | Merchant-operations dashboard: payment search on read models, webhook delivery inspection and replay, route policy management, audit log. |
| Performance story | Engineered for high-scale switching; published architecture write-ups. | Published reproducible capacity proof: ~190 charges/s Postgres-only, ~250 charges/s with Redis + Kafka on a 2-vCPU footprint, with bottleneck analysis. |
| Team fit | Best when you want maximum connector breadth and can operate a multi-service Rust system. | Best for JVM-comfortable teams that want routing plus billing operations in one unit they can read end to end. |
Do you need orchestration yet?
If most of these signals are true, a single gateway integration may be carrying work that belongs in an orchestration and operations layer.
Is your team JVM-native?
A Spring Boot codebase your team can extend beats a faster core your team treats as a black box.
Do you need 50+ connectors on day one?
If yes, Hyperswitch’s catalog is the pragmatic answer. If your providers are Stripe/Square/Braintree/Mollie, both qualify.
Is billing part of the problem?
If subscriptions and invoices live next to routing in your requirements, an integrated platform avoids stitching two systems.
How much infrastructure will you operate?
MasonXPay runs as one compose stack; budget operational capacity accordingly for a multi-service switch.
Do you want flat managed pricing?
MasonXPay’s managed plan is $99/month flat. Compare against usage-based managed offerings at your volume.
Can you verify the money path?
Both are open source — read the idempotency and state-transition code of whichever you shortlist. That audit is the point of open source.
Where each layer sits in the payment stack.
Checkout / SDK
Hyperswitch
Unified checkout SDKs across its connector catalog.
MasonXPay
Browser and server SDKs with hosted checkout against the payment-intent API.
Routing core
Hyperswitch
Rust switch with rule-based and volume-based routing.
MasonXPay
Deterministic route policies, capability checks, and outcome-aware retry in the Spring Boot core.
Financial state
Hyperswitch
Postgres-backed payment state within its service topology.
MasonXPay
Postgres as the single source of truth; sharding, outbox, and idempotency records documented in the repo.
Operations
Hyperswitch
Analytics and control-center configuration.
MasonXPay
Webhook replay, payment search, billing recovery, audit log, and route changes from one dashboard.
How MasonXPay fits this category.
MasonXPay is built for payment orchestration and operations: provider routing, billing workflows, webhooks, analytics, observability, and durable payment state.
When MasonXPay is the better fit
JVM team, four-PSP coverage is enough, billing and merchant operations belong in the same deployment, and you value a system one engineer can fully read.
When Hyperswitch is the better fit
You need broad connector coverage quickly, expect switch-scale traffic, and have the platform capacity to operate a larger system. This page exists to help you choose well, not to win by omission.
What both give you
Open-source orchestration, PSP-tokenized card flows, self-hosting rights, and an exit story that does not depend on a vendor’s pricing committee.
Common comparison questions
Which has more connectors, MasonXPay or Hyperswitch?
Hyperswitch maintains a substantially larger connector catalog. MasonXPay ships implemented adapters for Stripe, Square, Braintree, and Mollie plus a simulator, and documents the connector-development workflow for adding more.
Is MasonXPay slower because it is Java?
The published capacity proof shows ~190–250 charges/s on a deliberately small 2-vCPU footprint with the bottleneck analysis included. Most merchants never sustain a fraction of that; verify against your own load profile.
Can I migrate between the two later?
Both keep payment state in Postgres and tokens with the PSPs, so a migration is a data and integration project rather than a hostage negotiation — but plan it deliberately either way.
Do either replace my PSP contracts?
No. Both orchestrate provider accounts you own; acquiring and settlement remain with the PSPs.
Compare the route, then inspect the implementation.
Use the routing guide to go deeper on multi-provider policy design, or inspect the open-source MasonXPay repository.