What is iPaaS? Integration platforms explained
iPaaS stands for integration platform as a service. A plain explanation of what it is, what it is used for, how it differs from ESB and custom code, and where AI fits in.
iPaaS stands for integration platform as a service. It is a cloud service for connecting systems, applications and data, so that information flows between them without people having to copy it by hand or developers having to write every connection from scratch.
What it is used for
A typical organisation has dozens or hundreds of systems: ERP, CRM, HR, e-commerce, finance, industry-specific systems and more. They need to share data. When a customer places an order online, the order should reach the ERP system, the warehouse should be told, the invoice should be created, and the CRM should show the purchase.
An iPaaS handles this with:
- Connectors to common systems, so you do not have to learn every API yourself.
- Flows or workflows that describe what should happen: get data here, transform it, send it there.
- Mapping and transformation between formats, for example from JSON in one system to XML in another.
- Error handling, logging and monitoring, so you know when something fails and why.
Most platforms also include API management, for publishing and securing your own APIs, and often event streaming for real-time integration.
How it differs from older approaches
Before iPaaS, integration was typically done with custom code between systems (point-to-point) or with an ESB (enterprise service bus) installed in your own data centre. Point-to-point becomes hard to maintain as the number of connections grows. An ESB gave control, but required heavy infrastructure and specialist skills.
iPaaS moved integration to the cloud, with low-code tools, prebuilt connectors and the vendor running the platform. Most iPaaS products can still run parts of the work close to on-premises systems, through a local runtime.
Who the vendors are
Gartner’s Magic Quadrant for iPaaS 2026 evaluates 18 vendors, including Boomi, MuleSoft (Salesforce), Workato, Microsoft (Azure Integration Services), SAP, SnapLogic, Celigo, Informatica, IBM, Oracle, Jitterbit and others. They differ in their strengths: some are strongest in large enterprises with complex landscapes, some in SaaS-heavy mid-sized companies, some within one ecosystem such as Azure or SAP.
Where AI fits in
In 2026, AI is changing iPaaS in two ways. First, AI assistants help build, document and troubleshoot integrations faster. Second, and more importantly, integration platforms are becoming the place where AI agents get access to business systems. An agent that is to process an invoice or update a customer needs the same connectors, access control and logging that integrations already have. Standards such as the Model Context Protocol (MCP) make it possible to expose integrations as tools that agents can use.
That is why integration has become more strategic, not less, in the age of AI: AI is only as useful as the systems and data it can reach.
Read more
On ipaas.it we follow the iPaaS market in both English and Norwegian: vendor news, analyst reports and what AI agents mean for integration. Start with our guide to choosing an iPaaS or MCP explained.
Sources
This post was written with AI assistance and reviewed by the editor before publishing.