Top 13 Integration Platform (iPaaS) Vendors in 2025

The demand for seamless, scalable integration has never been higher. As organizations adopt more cloud applications, build AI-powered workflows, and embrace composable architectures, integration becomes the backbone of business agility. Enter iPaaS (Integration Platform as a Service): a modern approach to connecting applications, automating processes, and orchestrating data flows across hybrid and multi-cloud environments.

In this blog, we explore the top iPaaS vendors shaping the integration landscape today. From cloud-native innovators to enterprise stalwarts, each platform brings its own strengths in architecture, usability, and AI-driven automation. 

Whether you’re modernizing legacy systems, building real-time data pipelines, or enabling new digital experiences, understanding the differences between these platforms will help you choose the right foundation for your future-ready enterprise.

What is iPaas?

First things first, what is iPaaS? An Integration Platform as a Service (iPaaS) is a suite of cloud services that enables the development, execution, and governance of application integration, API management, and data integration to connect both on-premises and cloud-based systems, services, cloud applications, on-premises apps, and other data sources. 

These services are typically designed with low-code visual interfaces and templates. Unlike the Enterprise Service Bus (ESB) of the past, they are built on cloud-based infrastructure, such as AWS, Azure, and Google Cloud, to serve as a platform for automating workflows and sharing data between all applications and data sources, both within an organization and outside.

Organizations can use iPaaS to integrate technology across their whole software ecosystem.

Top 13 iPaaS vendors

SnapLogic

SnapLogic is a modern, cloud-native platform that focuses on event-driven, data, application, and API integrations. Its intuitive low-code/no-code interface is easy to use for both IT and business users, complemented by strong AI capabilities (SnapGPT, AgentCreator, self-healing, predictive pipelines). It’s designed for fast scaling and building intelligent, composable architectures.

• Deployment style: Cloud-native
• Integration style: Event-driven, data, application and API integrations
• Ease of use: Strong low-code/no-code, 1000+ pre-built connectors
• AI/automation focus: Strong AI (SnapGPT, ML pipelines, self-healing workflows)

IBM 

IBM’s Cloud Pak for Integration supports hybrid and multi-cloud integration, offering application, data, and API connectivity. It integrates with Watson AI to add automation, insights, and predictive analytics to integration workflows, making it suitable for enterprises with strong AI ambitions.

• Deployment style: Hybrid
• Integration style: App and data integrations, API management
• Ease of use: Medium to complex
• AI/automation focus: Growing AI focus (Watson integration)

Mulesoft (Salesforce)

MuleSoft’s Anypoint Platform focuses on API-led connectivity and hybrid integration. It excels at designing, managing, and securing APIs, enabling modular, reusable architectures. While not heavily AI-driven, it is favored for large-scale API ecosystems and composable strategies.

• Deployment style: Cloud, hybrid, on-prem
• Integration style: API-led architecture (API-first design)
• Ease of use: Medium (requires some dev work)
• AI/automation focus: Limited direct AI, focus on API lifecycle

Informatica (Salesforce)

Informatica’s iPaaS is built on its strong ETL heritage, supporting hybrid and on-prem deployments. It is data-centric, featuring extensive data management, quality, and governance capabilities. Informatica’s CLAIRE AI engine enhances automation in data integration, transformation, and cataloging, making it robust for complex enterprise needs.

• Deployment style: Cloud, hybrid, on-prem
• Integration style: Data-centric (ETL heritage), APIs
• Ease of use: Moderate (more technical)
• AI/automation focus: Strong AI (CLAIRE engine for automation)

Microsoft Azure iPaaS

Microsoft Azure iPaaS is a cloud-native integration platform tightly integrated with the Azure ecosystem, offering tools like Logic Apps and API Management to connect applications, automate workflows, and manage data integrations across cloud and on-premises environments.

• Deployment style: Cloud-native
• Integration style: API-based, strong data and app focus
• Ease of use: Medium (requires Azure skills)
• AI/automation focus: Moderative AI (Logic apps, AI builder integrations)

Workato

Workato is a cloud-native, no-code platform optimized for business and IT collaboration. It combines event-driven automation with strong AI assistance (AI bots and recommendations), allowing users to build sophisticated workflows without technical complexity

• Deployment style: Cloud-native
• Integration style: Event-driven, app integrations
• Ease of use: Strong no-code
• AI/automation focus: Strong AI (AI-assisted bot building)

Boomi

Boomi offers a fully cloud-native, low-code integration platform designed for speed and ease of use. Known for its intuitive UI and pre-built connectors, Boomi helps organizations connect applications and data quickly. It emphasizes simplicity and agility, with moderate AI features for mapping and error handling.

• Deployment style: Cloud-native + hybrid
• Integration style: API-based, pre-built connectors
• Ease of use: Strong low-code UI
• AI/automation focus: Moderate AI (some smart mapping, error detection)

Jitterbit

Jitterbit offers a flexible, low-code platform that focuses on rapid API-based integrations and pre-built templates. It enables fast deployment and is easy for non-developers to use. AI features are growing, mainly in smart automation and error handling.

• Deployment style: Cloud, hybrid
• Integration style: API-first, pre-built connectors
• Ease of use: Strong low-code/no-code
• AI/automation focus: Some smart automation features

Tray.ai

Tray.ai is a cloud-native, API-first integration and automation platform focused on no-code workflow building, enabling users to connect SaaS applications and automate business processes without heavy development.

• Deployment style: Cloud-native
• Integration style: API-first, app integrations
• Ease of use: Very strong no-code
• AI/automation focus: Moderate AI (automation features, some ML capabilities)

TIBCO

TIBCO’s integration platform supports event-driven, hybrid, and on-premises deployments. It is designed to connect applications and data sources at enterprise scale, with data integration and analytics support.

• Deployment style: Hybrid, on-prem, cloud
• Integration style: Event-driven, strong data integration
• Ease of use: Medium to complex
• AI/automation focus: Some AI (TIBCO Data Science, streaming analytics)

SAP

SAP Integration Suite connects SAP and non-SAP systems in hybrid and multi-cloud environments. It prioritizes pre-built content and deep business process integration, especially for enterprises standardizing on SAP applications. AI is emerging, but it is not yet core to the integration layer today.

• Deployment style: Hybrid
• Integration style: Enterprise app integrations, data focus
• Ease of use: Moderate (some pre-config)
• AI/automation focus: Low/limited AI built into the integration layer

Oracle

Oracle Integration Cloud connects Oracle apps and external systems with pre-built adapters and strong API management. Designed for hybrid and enterprise scenarios, it supports robust governance and compliance. AI and automation enhance process flows but are more incremental than transformational.

• Deployment style: Cloud, hybrid, on-prem
• Integration style: App/data integrations, strong APIs
• Ease of use: Medium
• AI/automation focus: Some automation, strong governance

Software AG

Software AG’s webMethods platform offers hybrid integration with strong API and B2B connectivity. It supports mission-critical, large-scale enterprise environments and excels in governance and reliability. AI capabilities are present but not a major focus, with more emphasis on stability.

• Deployment style: Hybrid
• Integration style: API and B2B integrations
• Ease of use: Medium
• AI/automation focus: Limited direct AI 

Honorable mention: adjacent tools for integration

While iPaaS platforms focus on unifying app, data, and API integrations through low-code automation, there is a growing set of adjacent tools that help solve specialized integration challenges. These include data movement and transformation (ELT/ETL), data quality, and API management platforms. 

Although they don’t offer the same comprehensive process and application integration as iPaaS, they play a critical role in modern data architectures and cloud ecosystems. Here’s a quick look at some of the most widely used tools in these adjacent categories and why they’re often considered alongside or in combination with iPaaS solutions.

Fivetran

Fivetran is an automated ELT platform designed for zero-maintenance data movement from SaaS apps and databases into modern data warehouses, enabling fast, reliable analytics pipelines.

• Focus: Automated data pipeline creation from SaaS and databases into data warehouses (e.g., Snowflake, BigQuery).
• Strength: Zero-maintenance connectors and fully managed data replication.
• Why not strictly iPaaS: Does not focus on full application integration, API management, or real-time event-driven orchestration, which are hallmarks of an iPaaS.

Talend

Talend is a data integration and governance solution focused on clean, trusted data pipelines, offering robust data quality and preparation capabilities for enterprise analytics.

• Focus: Data pipelines, data cleansing, and data preparation.
• Strength: Strong data quality tools and governance capabilities, recently rebranded under Qlik.
• Why not strictly iPaaS: Provides cloud integration but is traditionally focused more on batch data integration than app-to-app process automation or API integrations.

Matillion

Matillion is a cloud-native ETL/ELT tool built for transforming and orchestrating data inside cloud data warehouses, empowering modern analytics teams with an easy-to-use interface.

• Focus: Transforming data inside modern cloud data platforms (Snowflake, Redshift, BigQuery).
• Strength: Simple interface for analytics engineering and strong support for modern data stack.
• Why not iPaaS: Does not provide app-to-app integrations or broad process automation; its focus is on analytics pipelines rather than operational system integration.

Kong

Kong is a high-performance API management platform that secures, manages, and scales microservices and APIs, built for modern, cloud-native connectivity and service mesh use cases.

• Focus: API gateway, service mesh, microservices connectivity.
• Strength: High-performance, cloud-native API management and traffic control.
• Why not iPaaS: Manages and secures APIs rather than providing drag-and-drop data and application integration workflows.

How to choose the right integration platform

Integration is not just about moving data. It’s about creating a unified, intelligent foundation that supports rapid innovation and operational resilience. The leading iPaaS vendors in 2025 offer a diverse range of capabilities, from low-code simplicity and API-first designs to advanced AI-driven automation.

Choosing the right iPaaS depends on your organization’s goals: whether it’s accelerating application connectivity, empowering bsusiness users, scaling composable architectures, or enabling AI-powered decision-making. By aligning your integration strategy with the strengths of these platforms, you can unlock faster innovation, stronger data insights, and a more adaptive digital enterprise.