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Compare the Top iPaaS Software as of February 2026

What is iPaaS Software?

iPaaS (Integration Platform as a Service) software is a cloud-based solution that enables businesses to integrate different applications, data sources, and systems, both on-premise and in the cloud. It provides tools and services to connect various platforms, automate workflows, and ensure data flows seamlessly between systems, helping businesses improve operational efficiency and reduce manual efforts. iPaaS software typically includes pre-built connectors, API management, data transformation tools, and monitoring capabilities to ensure smooth integration across disparate systems. It is commonly used by organizations to manage and streamline their enterprise application integrations, CRM systems, ERP platforms, and cloud services. Compare and read user reviews of the best iPaaS software currently available using the table below. This list is updated regularly.

  • 1
    Domo

    Domo

    Domo

    Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.
  • 2
    K2View

    K2View

    K2View

    At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
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