Compare the Top Data Integration Tools that integrate with dbt as of June 2025

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

What are Data Integration Tools for dbt?

Data integration tools help organizations combine data from multiple sources into a unified, coherent system for analysis and decision-making. These tools streamline the process of gathering, transforming, and loading data (ETL) from various databases, applications, and cloud services, ensuring consistent data across platforms. They provide features like data cleansing, mapping, and real-time synchronization, ensuring data accuracy and reliability. With automated workflows and connectors, data integration tools reduce manual effort and eliminate data silos, improving operational efficiency. Ultimately, they enable businesses to make better, data-driven decisions by providing a comprehensive view of their information landscape. Compare and read user reviews of the best Data Integration tools for dbt currently available using the table below. This list is updated regularly.

  • 1
    intermix.io

    intermix.io

    Intermix.io

    Capture metadata from your data warehouse and tools that connect to it. Track the workloads you care about, and retroactively understand user engagement, cost, and performance of data products. Complete visibility into your data platform, who is touching your data, and how it’s being used. In these interviews, we’re sharing how data teams build and deliver data products at their company. We also cover tech stacks, best practices and other lessons learned. intermix.io gives you end-to-end visibility with an easy-to-use SaaS dashboard. Collaborate with your entire team, create custom reports, and get everything you need to understand what’s going on in your data platform, across your cloud data warehouse and the tools that connect to it. intermix.io is a SaaS product that collects metadata from your data warehouse with absolutely zero coding required. We never need access to data you've copied into your data warehouse.
    Starting Price: $295 per month
  • 2
    Meltano

    Meltano

    Meltano

    Meltano provides the ultimate flexibility in deployment options. Own your data stack, end to end. Ever growing connector library of 300+ connectors have been running in production for years. Run workflows in isolated environments, execute end-to-end tests, and version control everything. Open source gives you the power to build your ideal data stack. Define your entire project as code and collaborate confidently with your team. The Meltano CLI enables you to rapidly create your project, making it easy to start replicating data. Meltano is designed to be the best way to run dbt to manage your transformations. Your entire data stack is defined in your project, making it simple to deploy it to production. Validate your changes in development before moving to CI, and in staging before moving to production.
  • 3
    TROCCO

    TROCCO

    primeNumber Inc

    TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.
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