Self-Hosted vs Managed Integration Platforms: What AI Teams Actually Need

Every team building an AI product eventually asks the same question about their integration platform as a service: run it ourselves, or pay someone else to run it for us? The answer isn't universal, and most of the content out there frames it as an ideological choice rather than an operational one. Here's the practical version.

What "managed" actually means for an integration platform

A managed API management platform or application integration platform handles the infrastructure servers, uptime, scaling, patching in exchange for usage-based or per-seat pricing. For a small team without dedicated infrastructure engineers, that trade is often worth it early on. The real cost shows up later:

• You're billed for API calls you already have credentials for. Many managed platforms mark up requests to third-party APIs, on top of your subscription fee.
• Data residency becomes someone else's decision. If a customer asks where their Slack messages or Drive files are being processed, "inside a vendor's infrastructure we don't control" is a harder answer than "our own VPC."
• Your integration roadmap is bounded by theirs. Need a cloud integration platform as a service that supports a niche CRM? You wait for the vendor, or you build a workaround next to the platform you're already paying for.

What "self-hosted" actually means

A self-hosted integration platform runs on your own infrastructure your cloud account, your database, your network boundary. The tradeoffs flip:

• No per-call markup. You pay your cloud provider and the third-party API directly, nothing more.
• Full data residency control. Every credential, every cached record, every webhook payload stays inside infrastructure you already operate and already have compliance answers for.
• You own the upgrade path. No forced migration when a vendor deprecates a plan or gets acquired.
• You take on the operational load. Patching, scaling, and monitoring become your team's job, not a vendor's.

The real decision isn't ideological — it's about who owns the maintenance burden

Framed as "open vs. closed" or "self-hosted vs. managed," this sounds like a philosophical choice. In practice, it's closer to a build vs. buy decision at the infrastructure layer:

• If your team already runs Postgres, has an on-call rotation, and is comfortable owning another service, self-hosting an integration platform is usually cheaper within a year and gives you full control over data and roadmap.
• If your team is small and pre-product-market-fit, a managed option gets you moving in an afternoon instead of a sprint the tradeoff is worth it while iteration speed matters more than infrastructure cost.
• The best answer for a lot of teams isn't "pick one forever" it's choosing a platform that supports both from the same codebase, so the migration path from managed to self-hosted (or back) doesn't mean re-architecting your integrations.

Where "enterprise integration platform as a service" claims fall apart

A lot of platforms market themselves as enterprise integration platform as a service without being specific about what that means operationally. The questions worth actually asking:

• Does "enterprise" mean SOC 2 compliance and SSO, or does it just mean a higher pricing tier with the same underlying infrastructure?
• Can you export your integration configuration and credentials if you decide to leave, or is migration effectively a rebuild?
• Is multi-tenancy serving many customers from one deployment actually supported, or does "enterprise" just mean a bigger single-tenant instance?

These questions matter more than the word "enterprise" on the pricing page.

Workflow engine integration for agent pipelines

For teams running agent workflows that need durable execution retries, long-running steps, human-in-the-loop approval workflow engine integration (tools like Temporal or Inngest) solves a different problem than an API integration layer. The integration platform handles what an agent can call (Slack, Gmail, Notion); the workflow engine handles how reliably a multi-step process executes over minutes, hours, or days. The two are complementary, not competing a good agent stack usually needs both.

Corsair's approach: both modes, one codebase

Corsair is built so the self-hosted vs. managed decision isn't permanent. npm install corsair runs the full SDK every plugin, the permission system, multi-tenant credential storage entirely on your own infrastructure, for free, with no per-call markup. If you'd rather not manage the deployment yourself, the hosted version runs the exact same open-source codebase behind a single MCP URL, with provisioning handled through the Cloud SDK. Because both options share one codebase, moving from hosted to self-hosted later or the reverse doesn't mean rebuilding your integrations from scratch.

Compare self-hosted vs. hosted → Read the docs →