Compare the Top iPaaS Software that integrates with OpenMetadata as of July 2026

This a list of iPaaS software that integrates with OpenMetadata. Use the filters on the left to add additional filters for products that have integrations with OpenMetadata. View the products that work with OpenMetadata in the table below.

What is iPaaS Software for OpenMetadata?

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 for OpenMetadata 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
    Apache Kafka

    Apache Kafka

    The Apache Software Foundation

    Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
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