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# Open-Source iPaaS (in Python)

**Every iPaaS vendor promises to connect your systems. Few of them mention where your integrations will actually run, who controls them, and what happens when your needs outgrow their platform.

An open-source iPaaS changes all three, and this article explains how.**

By Dariusz Suchojad

![An open-source iPaaS runs on infrastructure you choose, with source code you can read and integrations written in Python](https://zatosource-production.b-cdn.net/static/img/product/value.webp)

5 min. read

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When organizations evaluate an iPaaS, they usually compare connector counts and feature matrices. The more important questions rarely make it into the spreadsheet: Where do your integrations live? Whose infrastructure does your data flow through? What happens when the vendor changes their platform, their roadmap, or their terms?

With a vendor-hosted iPaaS, every workflow you build runs inside someone else's cloud. Your customer records, invoices, and HL7 messages pass through infrastructure you can't inspect. Your integration logic is expressed in a proprietary format that only works on that one platform. The longer you use it, the harder it becomes to leave.

An open-source iPaaS is built on the opposite premise: the platform belongs to you. This article explains what that means in practice, using [Zato](https://zato.io/), an open-source iPaaS in Python, as the concrete example. The guide to [what iPaaS is and how it works in Python](https://zato.io/articles/python-ipaas.html) covers the iPaaS concept itself.

## What open-source changes about the iPaaS model {#what-open-source-changes-about-the-ipaas-model}

![An iPaaS connects CRM, ERP, cloud APIs and on-premises systems through one central layer instead of direct links](https://zatosource-production.b-cdn.net/static/img/intro/high-level.png)

The difference is the entire relationship between you and your integration platform.

**You choose where it runs.** Deploy on-premises, in AWS, Azure, GCP, or your private cloud - the platform is identical in each case. Organizations in defense, healthcare, and finance often can't send their data through a third-party cloud at all, and with an open-source iPaaS they don't have to. Your data stays within your own perimeter, under your own security policies.

**You can read the source code.** [The entire platform is on GitHub](https://github.com/zatosource/zato). When something behaves unexpectedly in production, your engineers can look at the actual code instead of opening a support ticket and waiting. Security teams can audit the implementation instead of trusting vendor assertions.

**The licensing model has no meters attached.** There are no per-core licenses, no per-task charges, no per-connector tiers, and no capacity-based subscriptions that force you to renegotiate every time your traffic grows. A successful integration that processes ten times more messages this year than last year costs nothing more in licensing.

**Your integration logic is portable.** Integrations in Zato are Python code. Python is a real, universal programming language - not a proprietary transformation dialect that only one vendor's runtime understands. The skills your team builds and the logic they write remain valuable regardless of what platform decisions you make in the future.

## What it looks like in practice {#what-it-looks-like-in-practice}

![A Zato environment - servers behind a load balancer, with the Dashboard and scheduler managing the environment](https://zatosource-production.b-cdn.net/docs/gfx/api/arch/arch-clusters-single.png)

Zato gives you a Dashboard with connectors for REST, SQL, SFTP, LDAP, HL7, IBM MQ, [Salesforce](https://zato.io/integrations/salesforce/), Microsoft 365, and many more, plus scheduling, security definitions, and real-time monitoring. The part that ties systems together is a service - a small Python class.

Here is a complete service that receives a new order and forwards it to a fulfillment system's REST API:

```python
# -*- coding: utf-8 -*-

# Zato
from zato.server.service import Service

class OrderSync(Service):
    """ Receives a new order and forwards it to the fulfillment system.
    """
    name = 'api.order.sync'

    def handle(self):

        # Read the order from the incoming request
        order = self.request.payload

        # Get a connection to the fulfillment system's REST API
        conn = self.rest['Fulfillment API']

        # Send the order and read the response
        response = conn.post(self.cid, order)

        # Return the fulfillment ID to the caller
        self.response.payload = {'fulfillment_id': response.data['id']}
```

That's the whole integration. The connection definition, security, and the REST channel that exposes this service are configured in the Dashboard, and the business logic is a few lines of Python that any developer can read, test, and version-control like any other code.

The choice of Python is itself strategic - it's the language universities teach today and the language of AI and data science. The [Python iPaaS article](https://zato.io/articles/python-ipaas.html) covers the talent and hiring implications in depth.

To try this yourself, follow the [API integrations tutorial](https://zato.io/tutorials/main/01.html).

## Open-source vs. proprietary iPaaS {#open-source-vs-proprietary-ipaas}

Your iPaaS decision will determine your architecture for the next decade. Here's the breakdown:

## Choose a proprietary, vendor-hosted iPaaS when:

- You're comfortable with your data flowing through infrastructure you can't inspect
- Capacity-based subscription fees that rise with your usage don't concern you
- You accept that your integration logic will only ever run on one vendor's platform

## Choose an open-source iPaaS when:

- You want to decide where the platform runs and where your data goes
- You want your integrations written in a universal language your team already knows
- You believe in verifying source code over trusting vendor promises
- You need a platform that adapts to your business processes

## Support that comes with the platform {#support-that-comes-with-the-platform}

Open-source does not mean you're on your own. Zato comes with [enterprise support](https://zato.io/services/index.html) available 24x7x365 - from initial setup, through architecture guidance, to production troubleshooting. The difference from proprietary vendors is the incentive structure: the business model depends on your success with the platform, not on your dependency on it.

## Industry use cases {#industry-use-cases}

![A self-hosted iPaaS keeps data inside the organization's own perimeter - the reason defense, healthcare and telecom run one](https://zatosource-production.b-cdn.net/static/img/industry/defense-index/mbse-python.webp)

An open-source iPaaS is used across industries where control over data and infrastructure is not optional.

### iPaaS for the defense industry {#ipaas-for-the-defense-industry}

Defense networks connect contractors, military units, and agencies that cannot route their data through a commercial vendor's cloud. A self-hosted, source-auditable platform is the only kind that clears security review. Read more about [Zato in the defense industry](https://zato.io/industry/defense/index.html).

### iPaaS for airports and air travel {#ipaas-for-airports-and-air-travel}

Airports integrate flight schedules, baggage handling, security, and ground services - systems from dozens of vendors that must exchange data in real time. Read more about [Zato in airports and air travel](https://zato.io/industry/airports/index.html).

### iPaaS for telecommunications {#ipaas-for-telecommunications}

Telecom operators connect OSS and BSS platforms, provisioning systems, and customer-facing services at high message volumes, where per-task charges would make a metered platform impractical. Read more about [Zato in telecommunications](https://zato.io/industry/telecom/index.html).

### iPaaS for health care {#ipaas-for-health-care}

Health care providers connect electronic health records, HL7 and FHIR interfaces, and billing systems while keeping patient data inside their own infrastructure. Read more about [Zato in health care](https://zato.io/industry/healthcare/index.html).

## Frequently asked questions {#frequently-asked-questions}

### What is an open-source integration platform (iPaaS)? {#what-is-an-open-source-integration-platform-ipaas}

An iPaaS connects different systems, applications, and data sources so they can work together. An open-source iPaaS also gives you the platform's source code and lets you run it on infrastructure you choose - your own servers or any cloud.

### Is Zato an iPaaS? {#is-zato-an-ipaas}

Yes. Zato is an open-source iPaaS in Python that connects applications and services and automates workflows, combining a GUI Dashboard with a Python programming environment. If you're comparing it with the enterprise service bus model, see the article on the [open-source ESB in Python](https://zato.io/articles/open-source-esb.html).

### Is Zato open-source software that I can find on GitHub? {#is-zato-open-source-software-that-i-can-find-on-github}

Yes, you have full access to [the platform's source code on GitHub](https://github.com/zatosource/zato).

### How do I get started with iPaaS in Python? {#how-do-i-get-started-with-ipaas-in-python}

Start the [API integrations tutorial](https://zato.io/tutorials/main/01.html) or [schedule a meaningful demo](https://zato.io/services/demo.html) with an expert who will help you become fluent in API integrations.

Dariusz Suchojad is founder of Zato Source.

**Ready to take control of your integrations with an open-source, Python-based iPaaS? [Request your customized demo today](https://zato.io/services/demo.html).**
