PaaS vs iPaaS comes down to one question: are you building an application, or connecting applications you already run? PaaS (platform as a service) gives developers a managed place to build, deploy, and scale their own code, such as Heroku, Google App Engine, or Azure App Service. iPaaS (integration platform as a service) gives teams connectors, data mapping, and workflow orchestration to move data and automate processes between systems like Salesforce, NetSuite, and Workday.

The names sound alike, and both remove infrastructure work, but they solve different problems and are bought by different teams. This guide compares them side by side and shows when you need one, the other, or both. For the broader picture of integration platforms, see what iPaaS is.

What PaaS is

A platform as a service is a managed environment for running custom applications. You bring the code; the provider handles servers, operating systems, scaling, and much of the deployment pipeline.

Typical PaaS capabilities:

  • Runtimes for web apps, APIs, containers, and serverless functions
  • Managed databases, caches, and storage
  • Build and deploy pipelines, with autoscaling and health checks
  • Logs and metrics for the applications you deploy

Common examples include Heroku, Google App Engine, Azure App Service, AWS Elastic Beanstalk, and Red Hat OpenShift. The main users are developers, DevOps engineers, and platform teams.

What iPaaS is

An integration platform as a service is a managed platform for connecting systems. Instead of writing and hosting code for every connection, teams use pre-built connectors, visual workflows, and data mapping to sync records and automate processes across applications.

Typical iPaaS capabilities:

  • Connectors for SaaS apps, databases, files, and APIs, plus a generic REST connector for the rest
  • Visual workflow builders with triggers, conditions, and approvals
  • Data mapping and transformation between different formats
  • Error handling, retries, and monitoring for every run
  • Often, API management and agents that reach on-premise systems

Common examples include MuleSoft, Boomi, Workato, SnapLogic, and Koodisi. The main users are integration teams, IT, and increasingly business operations teams.

An iPaaS sits between systems as a hub, instead of a separate custom connection for every pair.

PaaS vs iPaaS at a glance

PaaS iPaaS
Purpose Build and run your own applications Connect existing applications, data, and APIs
You bring Application code Business rules and field mappings
Typical users Developers, DevOps, platform engineers Integration teams, IT, operations
Unit of work An application or service A workflow between systems
Time to first value Weeks to months (you write the app) Days to weeks for common integrations
Connections to other systems You code each one Connectors and mapping out of the box
Operations focus App uptime, scaling, resource use Run success, failed records, data quality
Examples Heroku, Azure App Service, OpenShift MuleSoft, Boomi, Workato, Koodisi

When to choose PaaS

  • You're building a new customer-facing product, portal, or API with custom business logic.
  • You need fine control over runtime, performance, and architecture.
  • Your team is developer-led and already works with CI/CD and containers.

PaaS is the wrong tool when the real problem is that Salesforce and NetSuite don't talk to each other. You can write that integration as an app on a PaaS, but then you own the connectors, retries, monitoring, and every API change on both sides.

When to choose iPaaS

  • Data needs to move between systems you didn't build: CRM to ERP, HR system to identity provider, ecommerce to warehouse.
  • A business process spans several tools and depends on manual re-entry, exports, or brittle scripts.
  • You need governance across many integrations: who changed what, which runs failed, and how they were fixed.
  • You need to reach on-premise systems from cloud applications without opening inbound firewall ports.

Using PaaS and iPaaS together

In most enterprises the answer is both. A typical pattern:

  1. Build your own product or internal app on a PaaS.
  2. Expose its capabilities through APIs.
  3. Use an iPaaS to connect that app to SaaS tools, ERP, and partner systems, and to orchestrate processes that span them.

A typical flow: the iPaaS ingests an event, transforms it, orchestrates the steps, and delivers to each system.

For example, a company runs its customer portal on Azure App Service. When a customer signs a contract in the portal, the iPaaS creates the account in Salesforce, the customer and sales order in NetSuite, and a provisioning ticket in ServiceNow, then notifies the team in Slack. The portal team never writes NetSuite or ServiceNow code.

The two also overlap at the edges. Some iPaaS vendors offer embedded integration for software companies, and some PaaS providers offer basic integration services. Neither replaces the other's core job.

How to decide: a short checklist

  1. Name the problem. "We need to build X" points to PaaS. "X and Y need to stay in sync" points to iPaaS.
  2. Count the systems. Three or more systems exchanging data usually justifies an iPaaS.
  3. Check where systems live. On-premise systems need an iPaaS with a hybrid or on-premise option.
  4. Decide who maintains it. If operations teams should own changes, you need visual tooling and governance, not only code.
  5. Price the long term. Compare three years of licence cost against the engineering time to build and maintain each integration yourself. See iPaaS pricing models.

Five questions that settle PaaS vs iPaaS: the problem, the systems, where they run, who maintains it, and the long-term cost.

Frequently asked questions

What is the difference between PaaS and iPaaS?

PaaS is a managed platform for building, deploying, and running your own applications. iPaaS is a managed platform for connecting existing applications, data, and APIs through connectors, mapping, and workflows.

Is iPaaS a type of PaaS?

In a broad sense, yes: both are cloud platforms delivered as a service. In practice they're separate categories, because a PaaS runs any code you write, while an iPaaS is specialised for integration and automation.

Can I build integrations on a PaaS instead of using an iPaaS?

You can, by writing each integration as custom code. It works for one or two simple connections, but you then own every connector, retry, monitor, and API change, which gets expensive as the number of systems grows.

Do I need both PaaS and iPaaS?

Many enterprises do. They run custom applications on a PaaS and use an iPaaS to connect those applications with SaaS tools, ERP, and partner systems.

How is iPaaS different from SaaS?

SaaS is a finished application you use, such as Salesforce or Workday. iPaaS is the platform that connects those SaaS applications to each other and to your other systems.

Pick the platform that matches the problem

If you're building software, start with a PaaS. If you're connecting the systems your business already runs, an iPaaS will get you there faster and keep it maintainable. To see how Koodisi connects your stack, book a demo.