Compare the Top Reverse ETL Tools that integrate with Firebase as of September 2026

This a list of Reverse ETL tools that integrate with Firebase. Use the filters on the left to add additional filters for products that have integrations with Firebase. View the products that work with Firebase in the table below.

What are Reverse ETL Tools for Firebase?

Reverse ETL tools are software tools that enable users and data professionals to transfer and sync data from data warehouses and other data pools to third-party applications, integrations, and APIs. Compare and read user reviews of the best Reverse ETL tools for Firebase currently available using the table below. This list is updated regularly.

  • 1
    Hevo

    Hevo

    Hevo Data

    Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs. Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.
    Starting Price: $249/month
  • 2
    RudderStack

    RudderStack

    RudderStack

    RudderStack is the smart customer data pipeline. Easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools for identity stitching and other advanced use cases. Start building smarter customer data pipelines today.
    Starting Price: $750/month
  • 3
    Matia

    Matia

    Matia

    Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems.
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