10 Best iPaaS Platforms to Consider in 2025

Running multiple SaaS apps often feels like a circus act where you juggle too many balls at once. Drop one, and workflows collapse, silos grow, and teams lose time.

iPaaS (Integration Platform-as-a-Service) brings order to the chaos. It connects apps, automates workflows, and keeps data moving in real time so teams can focus on real decisions instead of busywork.

In this guide, we’ll cover the 10 best iPaaS platforms to check out in 2025. Short on time? Our top three picks are Hevo, MuleSoft, and Boomi. See the box below.

Top 10 iPaaS Platforms in 2025

ETL pipelines are handy when you just need scheduled data transfers, but modern teams need more. iPaaS acts like a Swiss Army knife, connecting apps, orchestrating APIs, automating workflows, and keeping data flowing in real time.

That’s why the market is booming. Valued at USD 12.87 billion in 2024, iPaaS is expected to climb to USD 78.28 billion by 2032. With so many platforms competing to stand out, let’s explore each leading iPaaS platform and see which one fits your business best.

1. Hevo Data

Hevo is a data integration iPaaS, not a general-purpose one. Unlike platforms that focus on deep process automation, API management, or B2B integrations, Hevo specializes in moving and transforming data from SaaS apps, databases, and warehouses into a central destination. It connects with over 150 data sources and brings everything together in real time, without any coding.

What makes Hevo different is that it removes the engineering burden of managing pipelines. Setup, monitoring, and error handling are built in, while features like schema mapping, transformations, and historical syncs keep data flowing reliably. As a result, teams spend less time fixing issues and more time using analytics-ready data for decision-making.

This data-first approach makes Hevo ideal for companies that rely on multiple SaaS tools such as Salesforce, HubSpot, or Shopify. By consolidating information in BigQuery, Snowflake, or Redshift, it ensures data is unified, analysis is faster, and insights drive better business outcomes. Compared to workflow-focused iPaaS platforms, Hevo is purpose-built to keep data integration simple, efficient, and optimized for analytics.

Key Features:

• App-to-App & Multi-Source Connectivity: Connect business applications, databases, cloud storage, and APIs seamlessly, unifying data from all corners of your organization.
• No-Code ELT Pipelines & In-Flight Transformations: Load data from apps while formatting and cleaning it on the fly using drag-and-drop or Python-based transformations.
• Historical Data Sync & Draft Pipelines: Pull past records automatically and resume pipeline creation anytime without losing progress.
• Flexible Replication & Object-Level Control: Choose full or incremental loads, replicate specific tables or columns, and skip or include app data as needed.
• Smart Assist & On-Demand Credits: Get real-time alerts about apps and pipelines, while ensuring uninterrupted data flow even if quotas are exceeded.

Use Case: 

Problem: Humi struggled with multiple data sources, volatile APIs, and a pipeline tool that offered little control and frequent outages. Their small data team spent too much time on maintenance instead of strategic projects.

Solution: Hevo’s no-code ELT platform gave Humi full control over schemas, robust automation, and reliable pipelines. Hybrid schema mapping and a broad range of connectors allowed them to handle 2x the data volume with fewer resources and avoid downstream errors.

Impact: The team saved the equivalent of one FTE, cut costs by 25%, and focused on strategic, data-driven initiatives. Centralized data improved insights across teams, helping Humi scale efficiently and achieve 658% revenue growth.

Pros:

• Automates data ingestion and transformation, saving time.
• Ensures reliable pipelines with automatic error handling.
• Gives control over data structure and workflow flexibility.
• Scales smoothly across teams and regions.
• Lets teams focus on insights instead of maintenance.

Cons:

• Pricing and on-demand credits can be confusing for new users.
• Advanced transformations may require some technical know-how.
• Limited workspaces and regions on entry-level plans.

Pricing

• Free – $0 forever
  Perfect for small teams or experiments. Move up to 1M events per month, access limited connectors, 5 users, and 1-hour scheduling.
• Starter – $239/month
  Ideal for growing teams. Handle 5M–50M events, connect 150+ apps, use dbt, and enjoy 24×5 support.
• Professional – $679/month
  Ideal for growing teams. Handle 5M–50M events, connect 150+ apps, use dbt, and enjoy 24×5 support.
• Business – Custom. Tailored for enterprises. Get real-time pipelines, role-based access control, SSO, VPC peering, and top-tier security.

Customer Testimonial:

Just what we needed What do you like best about Hevo Data? I was looking for a solution to replace our buggy AWS Python Lambdas, which move data from DynamoDB to Redshift for analytics. After evaluating AWS Glue and a few other vendors, I was impressed by how easy it was to set up pipelines with Hevo and how it just worked. I wrote a transformation to split the data across multiple Redshift tables, and it was super easy. Plus, the auto-mapping feature is a breeze. We now have data we can trust. The sales and support team were very helpful and eager to assist, even knowing we would be a small customer.

Jérémie M.

Director of Engineering

2. MuleSoft

MuleSoft is a top choice for enterprises that need strong API connectivity and AI-driven integrations. It lets organizations turn APIs and apps into agent-ready assets with MCP support, so AI agents can act with real-time, business-specific context. Its Anypoint Platform allows IT teams to design, manage, and scale APIs while automating processes with minimal coding.

It also helps teams govern agent interactions, enable secure agent-to-agent collaboration, and work in AI IDEs like Cursor and Windsurf. With pre-built connectors, data transformation, and monitoring dashboards, companies can coordinate workflows across systems while keeping security and visibility under control.

Key Features:

• API design and management: Build, manage, and scale APIs with governance.
• MuleSoft MCP Support: Transform APIs and apps into agent-ready assets for AI agents.
• MuleSoft Governance for Agents: Monitor, protect, and manage all agent interactions from a single control plane.
• MuleSoft A2A Support: Enable secure agent-to-agent communication for multi-agent coordination.
• MuleSoft Extends to AI IDEs: Develop and test integrations using natural language prompts in MCP-supported IDEs like Cursor and Windsurf.

Use Case:

MuleSoft enables IT teams to integrate disparate systems and applications, automating workflows and syncing data in real time. If an API or system fails, MuleSoft handles retries or reroutes data while alerting the team, ensuring seamless and efficient operations.

Pros:

• Enterprise-grade security with full API lifecycle management
• AI-agent-ready integrations with MCP and A2A support
• Secure multi-agent collaboration and governance from a single control plane
• Pre-built connectors for cloud and on-prem apps
• Extend development to AI IDEs with natural language prompts

Cons:

• Steep learning curve for teams new to API-led integration or AI-agent workflows
• Higher cost, making it less suitable for small teams
• Complex setup for multi-agent orchestration and governance

Pricing:

• Contact for custom enterprise plans.

3. Boomi

Boomi is a low-code platform that makes integration quick and scalable. Additionally, it helps organizations navigate and connect to uncharted waters in cloud-to-cloud, cloud-to-on-prem, and B2B integrations.

It provides pre-built connectors and visual workflow designers, which stand out by reducing implementation time. Moreover, Boomi’s AtomSphere engine allows for real-time processing, making it ideal for fast-moving businesses.

Key Features:

• Visual integration builder and drag-and-drop workflow
• Pre-built connectors for hundreds of apps
• Real-time integration and API management
• Data quality and governance tools

Use Case:

Boomi enables organizations to integrate cloud and on-premises applications quickly and efficiently, reducing complexity and development time. At Cornell University, it allowed two developers to manage 37 integrations across 15 colleges, streamlining workflows and improving operational efficiency.

Pros:

• Low-code, scalable, extensive pre-built connectors.

Cons:

• Customization can be complex, and premium pricing.

Pricing:

• Subscription-based, enterprise-level pricing.

4. Informatica Intelligent Cloud Services (IICS)

Informatica IICS is like a Swiss Army knife for cloud and on-prem data. Teams manage integrations, APIs, and governance right from a browser, with no installs or upgrade complexities. It connects cloud apps, databases, and files effortlessly, while a secure agent handles batch or real-time data smoothly.

Its serverless Spark engine crunches heavy workloads fast, letting teams focus on insights instead of babysitting pipelines. With reusable components and pre-built templates, IICS helps businesses move quickly, stay agile, and make sense of data without breaking a sweat.

Key Features:

• All-in-One Platform: Data integration, app connectivity, API management, and governance in a single place.
• Secure Agent: Handles batch or real-time data movement reliably and safely.
• Serverless Spark Engine: Processes large workloads quickly without slowing teams down.
• Reusable Components & Templates: Build integrations faster and standardize workflows across projects.

Use Case:

Informatica helps organizations unify scattered data and automate ETL/ELT workflows for faster insights and decision-making. At Petmate, it connected key systems, streamlined data transformations, and cut processing time in half, improving operational efficiency and enabling scalable growth.

Pros:

• Unified platform for data, apps, and APIs.
• Cloud-native and highly scalable.
• Hundreds of pre-built connectors.
• Automated ELT pipelines and AI-powered insights.
• Flexible consumption-based pricing.
• Low/no-code for faster onboarding.

Cons:

• Complex setup for large enterprises.
• Premium pricing may deter smaller teams.
• Advanced features have a learning curve.

Pricing:

• Custom enterprise-based plans.

5. Tray.ai

Tray.ai is an AI-ready iPaaS designed to help teams automate and scale workflows across their tech stack. It empowers organizations to launch intelligent agents that take real action. Teams can start with pre-built Agent Accelerators such as ITSM, Knowledge, or Support agents and expand as needs grow. 

The platform ensures governance, maintainability, and scalability, making it ideal for enterprises navigating constantly evolving AI and automation requirements. Tray.io connects systems efficiently while letting teams focus on high-value tasks.

Key Features:

• Agent Accelerators: Pre-built templates for ITSM, Knowledge, and Support agents that automate real workflows.
• AI-Ready Platform: Composable iPaaS that allows teams to build intelligent agents, workflows, and microservices.
• Actionable Automation: Agents execute tasks across apps and systems rather than just surfacing data.
• Governance and Scalability: Ensures maintainability and compliance while scaling across teams and departments.
• Security Features: Tools like Merlin Guardian help mask PII and protect sensitive data.

Use Case:

Tray.io enables organizations to unify integrations and automate workflows quickly, reducing reliance on IT teams. At Yext, it accelerated deployment, cut costs by 60%, and allowed non-developers to manage over 100 integrations in just three months.

Pros:

• Flexible, scalable, easy-to-use, drag-and-drop interface.

Cons:

• Can be overwhelming for beginners with complex workflows.

Pricing:

• Subscription-based, contact sales for enterprise plans.

6. Workato

Workato is a powerhouse for automation and integration, helping enterprises get AI and workflows working together seamlessly. Its Agentic-Orchestration platform lets teams build intelligent agents that handle routine tasks, coordinate across systems, and act on business metrics. 

Whether you’re streamlining HR onboarding, IT tickets, sales follow-ups, or marketing campaigns, Workato brings everything into one low-code, AI-ready playground. The platform is designed to scale with your business while keeping security, compliance, and governance in check.

Key Features

• Workato Genies: Prebuilt AI agents for HR, IT, sales, marketing, and support that automate tasks and improve efficiency.
• Agent Studio: Low-code environment to design, test, and deploy enterprise-grade agents.
• Agent Acumen & Trust: Agents act on KPIs with governance, access controls, and audit trails.
• Agent Orchestration: Agents coordinate with people, systems, and each other for end-to-end workflow automation.
• AIRO & AI Models: Embed AI in workflows with real-time diagnostics, suggestions, and human-in-the-loop controls.

Use Case:

Workato enables organizations to automate workflows and connect disparate systems with low-code solutions while maintaining governance. At Canva, it replaced over 8,000 hours of manual work, sped up expense reimbursements from two weeks to two days, and trained 40+ employees to scale automation across teams.

Pros

• Powerful low-code automation across departments
• Scales easily with enterprise-grade governance and security
• Prebuilt AI agents reduce manual work and speed workflows
• Connects modern and legacy systems seamlessly

Cons

• Premium pricing can be steep for smaller teams
• Complexity may require initial ramp-up for non-technical users

Pricing:

• Contact for enterprise pricing.

7. SnapLogic

SnapLogic helps businesses break down data silos and tame app sprawl with a no-code/low-code platform. Its visual interface and pre-built connectors, called Snaps, make integrating apps, data, and processes faster, easier, and more reliable. So teams can automate workflows, keep systems in sync, and trust the data driving decisions.

It’s perfect for organizations juggling multiple apps and messy processes. SnapLogic shines when you want to speed up integrations, automate repetitive tasks, and get full visibility into your data flow without drowning in manual work.

Key Features:

• Pre-built Snaps: 1,000+ connectors for apps, databases, APIs, and devices for quick integrations.
• AI-Powered Assistance: AutoSuggest recommends workflows, helping teams finish projects faster.
• Process Automation: Streamline operations like quote-to-cash, onboarding, and invoice processing.
• Visual Interface: Intuitive drag-and-drop design for no-code or low-code integration.
• Rapid Onboarding: Get productive in days, proficient in weeks, even without prior SnapLogic experience.

Use Case:

SnapLogic shows its strength by bringing together legacy and modern systems with ease, making workflows smarter with GenAI. Thanks to the platform, Spirent saw a boost in BI and sales productivity, slashed maintenance costs, and even whipped up an internal AI-powered sales tool.

Pros:

• Reduces manual workload and burnout
• AI guidance speeds project completion
• Strong ROI reported by Forrester (181% over 3 years)

Cons:

• May require training for advanced use cases
• Enterprise pricing can be high for smaller organizations
• Custom or highly complex integrations may still need coding

Pricing:

• Contact for enterprise-level plans.

8. Jitterbit

Jitterbit iPaaS is a low-code integration platform that helps enterprises connect apps, data, and processes across cloud, on-premises, and hybrid environments. Combining AI-powered assistants, drag-and-drop simplicity, and robust integration tools, it accelerates workflows and reduces complexity. 

On top of that, G2 ranked Jitterbit #1 in its Summer 2025 Enterprise Implementation Index, reflecting high user satisfaction and fast adoption. It’s best for mid-to-large enterprises needing to unify diverse systems quickly and efficiently. 

Key Features:

• Unified Platform: Build, manage, and maintain integrations with APIM, App Builder, and EDI in one place.
• Agentic AI: AI-powered assistants help create connectors and map complex data with a single click.
• Integration Studio: Rapidly design any workflow with modern low-code tools.
• Message Queue Service: Process asynchronous messages efficiently.
• Standards-Based Connectivity: Quickly integrate using widely accepted protocols.

Use Case:

Jitterbit shines by helping companies simplify and scale EDI integrations, letting them automatically exchange orders, invoices, and shipping notices with partners. This makes life easier for businesses in supply chain, logistics, manufacturing, and retail by speeding up order processing, cutting errors, and keeping trading partners in sync.

Pros:

• Quick time-to-value with low-code simplicity
• Handles hybrid and cloud environments seamlessly

Cons:

• Advanced use cases may require technical knowledge
• Customization beyond pre-built templates can get complex
• Enterprise pricing may be high for smaller teams

Pricing:

• Subscription-based; contact for enterprise pricing.

9. Celigo

Celigo is an intelligent automation platform designed to simplify integration for mid-to-large organizations. Best for business teams and IT working together, it connects apps, data, and workflows, covering API integrations, EDI, ETL, and event-driven processes all from a single, easy-to-use interface.

With AI-driven error handling, prebuilt templates, and reusable components, Celigo helps teams launch automations fast while maintaining governance and reducing manual troubleshooting. G2 has ranked Celigo number one iPaaS for six consecutive quarters, validating its reliability and enterprise-ready capabilities.

Key Features

• Unified Interface: Manage API, EDI, ETL, and event-driven workflows in one place.
• AI-Powered Automation: Automate logic, naming, and error resolution intelligently.
• Reusable Building Blocks: Templates and prebuilt flows accelerate scaling.
• Cross-Team Collaboration: Business and IT teams can co-build and monitor workflows easily.
• Governance & Control: Role-based access, centralized error tracking, and compliance included.

Use Case:

Celigo B2B Manager shows its power by helping Outdoor Research centralize and automate rigid EDI processes with Dynamics 365 F&O. This cut manual work and errors, speeds up onboarding, and gives IT full control, boosting efficiency, scalability, and innovation.

Pros:

• Launch automations quickly.
• Reusable assets streamline future projects.
• Works across ERP, CRM, and enterprise systems.

Cons: 

• Non-technical teams may need initial training.
• Complex custom integrations may still require IT.

Pricing:

• Subscription-based; contact for enterprise pricing.

10. TIBCO Cloud Integration

TIBCO is best for large enterprises that need high-performance, real-time integration, analytics, and event-processing across complex architectures. It’s ideal when businesses require mission-critical reliability, flexible deployment options, and centralized control over data and operations. 

Access to TIBCO’s expert network ensures teams can get guidance, share knowledge, and implement solutions efficiently.

Key Features

• High Performance & Reliability: Handles mission-critical operations with scalability and throughput.
• Real-Time Data Access: Enables businesses to act on data immediately, supporting analytics and applications.
• Flexible Deployment: Supports hybrid, cloud, and on-premises setups to fit complex architectures.
• Comprehensive Integration: Connects applications, data, and processes across the enterprise.

Use case:

TIBCO shows its strength by unifying fragmented systems and enabling real-time monitoring, predictive maintenance, and seamless data flow. Dutch Railways benefited from this with passengers tracking trains, maintenance teams acting proactively, and operations running efficiently, highlighting TIBCO’s impact on both performance and insights.

Pros

• Enterprise-ready for mission-critical operations
• Real-time data processing and insights
• Flexible deployment and integration options
• Strong community and support network

Cons

• Can be complex to configure for smaller teams
• Licensing and costs may be high for mid-sized businesses
• Steeper learning curve compared to simpler iPaaS tools

Pricing:

• Subscription-based, enterprise pricing on request.

Why Hevo Stands Out as an iPaaS Platform

Many businesses struggle with moving data fast, cleanly, and reliably. Traditional iPaaS platforms like SnapLogic or Workato often require heavy setup, constant monitoring, and engineering support to keep pipelines running smoothly. Hevo approaches the problem differently by delivering ready-to-use, automated pipelines that work out of the box.

With Hevo, teams get more than just connectors. It handles data transformation, schema mapping, and historical data syncing automatically, while robust error handling keeps pipelines running without constant supervision. This means analytics teams spend less time fixing broken workflows and more time generating insights.

Another key advantage is Hevo’s no-code interface, which empowers non-technical teams to set up and maintain pipelines independently. This lowers the barrier to entry for businesses without dedicated engineering resources and accelerates time to value.

For organizations that need real-time insights, zero-maintenance pipelines, and reliable data delivery, Hevo offers a streamlined, all-in-one solution.

Learn more about iPaaS Platforms and see why Hevo is designed for fast, reliable, analytics-ready data movement.

FAQs on iPaaS Platforms

Vaishnavi Srivastava Technical Content Writer

Vaishnavi is a tech content writer with over 5 years of experience covering software, hardware, and everything in between. Her work spans topics like SaaS tools, cloud platforms, cybersecurity, AI, smartphones, and laptops, with a focus on making technical concepts feel clear and approachable. When she’s not writing, she’s usually deep-diving into the latest tech trends or finding smarter ways to explain them.